Journal articles: 'T1-weighted'

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Gulati, Parveen, Neetika Gupta, Aishwarya Gulati, Arif Mirza, and Vaibhav Gulati. "Intracranial T1 Weighted Hyperintense Lesions." MAMC Journal of Medical Sciences 3, no. 2 (2017): 61. http://dx.doi.org/10.4103/mamcjms.mamcjms_34_17.

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Huang, Teng-Yi, Ing-Jye Huang, Cheng-Yu Chen, Klaus Scheffler, Hsiao-Wen Chung, and Hui-Cheng Cheng. "Are TrueFISP imagesT2/T1-weighted?" Magnetic Resonance in Medicine 48, no. 4 (2002): 684–88. http://dx.doi.org/10.1002/mrm.10260.

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Sujata Tukaram Bhairnallykar, Et al. "T1- Weighted MRI Image Segmentation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2078–84. http://dx.doi.org/10.17762/ijritcc.v11i9.9208.

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Growing evidence in recent years indicates that interest in the development of automated image analysis techniques for medical imaging, especially with regard to the discipline of magnetic resonance imaging. T1-weighted MRI scans are often used for both diagnosis and monitoring various neurological disorders, making accurate segmentation of these images crucial for effective treatment planning. In this work, we offer a new method for T1-weighted MRI image segmentation using patch densenet, an image segmentation-specific deep learning architecture. Our method aims to improve the accuracy and efficiency of segmentation, while also addressing some of the challenges associated with traditional segmentation methods. Traditional segmentation methods typically rely on features that are handcrafted and may struggle to accurately capture the intricate details present in MRI images. By utilizing patch densenet, our method automatically learn and extract relevant features from the T1-weighted MRI images and further enhance the accuracy and specificity of the segmentation results. Ultimately, we believe that our proposed approach can greatly improve diagnosis and treatment planning process for neurological disorders.

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Lavdas, Eleftherios, Marianna Vlychou, Nikos Arikidis, Eftychia Kapsalaki, Violetta Roka, and Ioannis V. Fezoulidis. "Comparison of T1-weighted fast spin-echo and T1-weighted fluid-attenuated inversion recovery images of the lumbar spine at 3.0 tesla." Acta Radiologica 51, no. 3 (2010): 290–95. http://dx.doi.org/10.3109/02841850903501650.

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Background: T1-weighted fluid-attenuated inversion recovery (FLAIR) sequence has been reported to provide improved contrast between lesions and normal anatomical structures compared to T1-weighted fast spin-echo (FSE) imaging at 1.5T regarding imaging of the lumbar spine. Purpose: To compare T1-weighted FSE and fast T1-weighted FLAIR imaging in normal anatomic structures and degenerative and metastatic lesions of the lumbar spine at 3.0T. Material and Methods: Thirty-two consecutive patients (19 females, 13 males; mean age 44 years, range 30–67 years) with lesions of the lumbar spine were prospectively evaluated. Sagittal images of the lumbar spine were obtained using T1-weighted FSE and fast T1-weighted FLAIR sequences. Both qualitative and quantitative analyses measuring the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and relative contrast (ReCon) between degenerative and metastatic lesions and normal anatomic structures were conducted, comparing these sequences. Results: On quantitative evaluation, SNRs of cerebrospinal fluid (CSF), nerve root, and fat around the root of fast T1-weighted FLAIR imaging were significantly lower than those of T1-weighted FSE images ( P<0.001). CNRs of normal spinal cord/CSF and disc herniation/ CSF for fast T1-weighted FLAIR images were significantly higher than those for T1-weighted FSE images ( P<0.001). ReCon of normal spinal cord/CSF, disc herniation/CSF, and vertebral lesions/CSF for fast T1-weighted FLAIR images were significantly higher than those for T1-weighted FSE images ( P<0.001). On qualitative evaluation, it was found that CSF nulling and contrast at the spinal cord (cauda equina)/CSF interface for T1-weighted FLAIR images were significantly superior compared to those for T1-weighted FSE images ( P<0.001), and the disc/spinal cord (cauda equina) interface was better for T1-weighted FLAIR images ( P<0.05). Conclusion: The T1-weighted FLAIR sequence may be considered as the preferred lumbar spine imaging sequence compared to T1-weighted FSE, as it has demonstrated superior CSF nulling, better conspicuousness of normal anatomic structures and degenerative and metastatic lesions, and improved image contrast.

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Fatimah, Fatimah, Rini Indrati, and Adjie Suroso. "Brain Mr Imaging With A T1-Weighted Image Fluid Attenuated Inversion Recovery Sequence : Comparison Study With T1-Weighted Image Spin Echo Sequence." Jurnal Riset Kesehatan 1, no. 2 (2015): 94–99. https://doi.org/10.31983/jrk.v1i2.374.

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The purpose of this research to find out the differences between T1-Weighted Image Fluid Attenuated Inversion Recovery (T1WI FLAIR) and T1-Weighted Image Spin Echo (T1WI SE) sequences, use with MRI Superconducting Modality 0,5 Tesla and to determine its superiority between those sequences, at low field strengths. This is experimental research. Twenty four patients with brain lesions underwent T1-Weighted Image Spin Echo and T1-Weighted FLAIR imaging during the same imaging session. T1-Weighted Spin Echo and T1-Weighted FLAIR Images were compared on the basis their SNR and CNR. Data were analysed statistically using t-test and Mann-Whitney test. Contrast to Noise Ratio (CNRs) obtained with T1-Weighted Image FLAIR were comparable but statistically superior to those obtained with T1-Weighted Spin Echo imaging whether on the CNR lesion- white matter with p value 0,043 or lesion-gray matter with p value 0,015.

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Kongpromsuk, Sutasinee, Nantaporn Pitakvej, Nutchawan Jittapiromsak, and Supada Prakkamakul. "Detection of brain metastases using alternative magnetic resonance imaging sequences: a comparison between SPACE and VIBE sequences." Asian Biomedicine 14, no. 1 (2020): 27–35. http://dx.doi.org/10.1515/abm-2020-0005.

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AbstractBackgroundAccurate identification of brain metastases is crucial for cancer treatment.ObjectivesTo compare the ability to detect brain metastases of two alternative types of contrast-enhanced three-dimensional (3D) T1-weighted sequences called SPACE (Sampling Perfection with Application optimized Contrasts using different flip angle Evolutions) and VIBE (Volumetric Interpolated Brain Sequence) on magnetic resonance imaging (MRI) at 3 tesla.MethodsBetween April 2017 and February 2018, 27 consecutive adult Thai patients with a total number of 424 brain metastases were retrospectively included. The patients underwent both contrast-enhanced 3D T1-weighted SPACE and 3D T1-weighted VIBE MRI sequences at 3 tesla. Two neuroradiology experts independently reviewed the images to determine the number of enhancing lesions on each sequence. Wilcoxon signed rank test was used to compare the difference between the numbers of detectable parenchymal enhancing lesions. Interobserver reliability was calculated using intraclass correlation.Results3D T1-weighted SPACE detected more parenchymal enhancing lesions than 3D T1-weighted VIBE (424 vs. 378 lesions, median 6 vs. 5, P = 0.008). Fifteen patients (55.6%) had equal number of parenchymal enhancing lesions between two sequences. 3D T1-weighted SPACE detected more parenchymal enhancing lesions (up to 9 more lesions) in 10 patients (37%), while 3D T1-weighted VIBE detected more enhancing lesions (up to 2 more lesions) in 2 patients (7.4%). Interobserver reliability between the readers was excellent.ConclusionContrast-enhanced 3D T1-weighted SPACE sequence demonstrates a higher ability to detect brain metastases than contrast-enhanced 3D T1-weighted VIBE sequence at 3 tesla.

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Asri, Isnindar Tandya, Chomsin Sulistya Widodo, and Yuyun Yueniwati Prabowowati Wadjib. "Comparison of Grayscale Value in T1-Weighted Pre- and Post-Contrast Brain MRI Images: with and without Fat Suppression Technique." Journal of Physics: Conference Series 2049, no. 1 (2021): 012057. http://dx.doi.org/10.1088/1742-6596/2049/1/012057.

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Abstract The MRI T1-weighted image can provide information on the pre- and post-contrast images. Post-contrast images is an image obtained after the administration of GBCA In some cases, not all post-contrast images can show clear lesions so it requires additional technique in the form of Fat Suppression (FS), which works by suppressing the fat signal in an image. The T1-weighted images with and without FS have a different signal intensity. Therefore, the purpose of this study is to compare the signal intensity of the pre- and post-contrast T1-weighted images with and without the FS technique. The signal intensities are indicated with a grayscale value. There are seven T1-weighted images with FS and seven T1-weighted images without FS. Each of the image have a pre-and post-contrast. Image reading is done by a radiology specialist. Area plot was performed on abnormal tissues in each image. Each area will be measured with an ImageJ software to obtain the grayscale mean value. The measurements of the post contrast T1-weighted image showed an increase in the grayscale mean value with or without the FS technique. This showed that the administration of GBCA can increase the signal intensity on the T1-weighted images with or without the FS technique.

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Braga, Barbara, Clarissa L. Yasuda, and Fernando Cendes. "White Matter Atrophy in Patients with Mesial Temporal Lobe Epilepsy: Voxel-Based Morphometry Analysis of T1- and T2-Weighted MR Images." Radiology Research and Practice 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/481378.

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Introduction. Mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis is highly refractory to clinical treatment. MRI voxel-based morphometry (VBM) of T1-weighted images has revealed a widespread pattern of gray matter (GM) and white matter (WM) atrophy in MTLE. Few studies have investigated the role of T2-weighted images in revealing WM atrophy using VBM.Objectives. To compare the results of WM atrophy between T1- and T2-weighted images through VBM.Methods. We selected 28 patients with left and 27 with right MTLE and 60 normal controls. We analyzed T1- and T2- weighted images with SPM8, using VBM/DARTEL algorithm to extract maps of GM and WM. The second level of SPM was used to investigate areas of WM atrophy among groups.Results. Both acquisitions showed bilateral widespread WM atrophy. T1-weighted images showed higher sensibility to detect areas of WM atrophy in both groups of MTLE. T2-weighted images also showed areas of WM atrophy in a more restricted pattern, but still bilateral and with a large area of superposition with T1-weighted images.Conclusions. In MTLE, T1-weighted images are more sensitive to detect subtle WM abnormalities using VBM, compared to T2 images, although both present a good superposition of statistical maps.

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Yoon, Young Heon, Won Hee Jee, Bae Young Lee, Si Young Choi, Bum Soo Kim, and Kyu Ho Choi. "Benign Versus Malignant Vertebral Compression Fractures: Distinction with T1-weighted, Fast Spin-EchoT2-weighted, and Fat-suppressed Gadolinium-enhanced T1-weighted Images." Journal of the Korean Radiological Society 40, no. 1 (1999): 155. http://dx.doi.org/10.3348/jkrs.1999.40.1.155.

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Li, Hao, Meng Zhao, Yuming Jiao, et al. "Prediction of High-Grade Pediatric Meningiomas: Magnetic Resonance Imaging Features Based on T1-Weighted, T2-Weighted, and Contrast-Enhanced T1-Weighted Images." World Neurosurgery 91 (July 2016): 89–95. http://dx.doi.org/10.1016/j.wneu.2016.03.079.

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Leander, P., S. Månsson, T. Ege, and J. Besjakov. "CT and MR Imaging of the Liver Using Liver-Specific Contrast Media." Acta Radiologica 37, no. 1P1 (1996): 242–49. http://dx.doi.org/10.1177/02841851960371p155.

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Purpose: A new type of liposomal liver-specific contrast medium (CM) in CT was studied, and the results were compared with those obtained with Mn-DPDP, a paramagnetic hepatobiliary CM, in MR imaging. The contrasts of normal liver tissue to tumorous tissue and the importance of the CM for tumour detection in the 2 modalities were studied in a rabbit tumour model. CT and T1-weighted pre- and postcontrast and T2-weighted MR images precontrast were obtained. Material, Methods and Results: Compared to precontrast images, significantly higher contrasts of normal liver tissue to tumorous tissue were obtained after CM administration in both CT and MR examinations. At radiologic evaluation, significantly more tumours were detected after CM administration in CT and in T1-weighted MR images than in precontrast images in CT and T1-weighted MR. There were no significant differences in tumour detection frequency in MR studies including a T2-weighted pulse sequence, postcontrast CT, or postcontrast T1-weighted MR imaging. Conclusion: The use of liver-specific CM improves visualization of liver tumours in CT and T1-weighted MR imaging.

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Kawahara, Daisuke, Ikuno Nishibuchi, Masashi Kawamura, et al. "Radiomic Analysis for Pretreatment Prediction of Recurrence Post-Radiotherapy in Cervical Squamous Cell Carcinoma Cancer." Diagnostics 12, no. 10 (2022): 2346. http://dx.doi.org/10.3390/diagnostics12102346.

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Background: The current study aims to predict the recurrence of cervical cancer patients treated with radiotherapy from radiomics features on pretreatment T1- and T2-weighted MR images. Methods: A total of 89 patients were split into model training (63 patients) and model testing (26 patients). The predictors of recurrence were selected using the least absolute shrinkage and selection operator (LASSO) regression. The machine learning used neural network classifiers. Results: Using LASSO analysis of radiomics, we found 25 features from the T1-weighted and 4 features from T2-weighted MR images, respectively. The accuracy was highest with the combination of T1- and T2-weighted MR images. The model performances with T1- or T2-weighted MR images were 86.4% or 89.4% accuracy, 74.9% or 38.1% sensitivity, 81.8% or 72.2% specificity, and 0.89 or 0.69 of the area under the curve (AUC). The model performance with the combination of T1- and T2-weighted MR images was 93.1% accuracy, 81.6% sensitivity, 88.7% specificity, and 0.94 of AUC. Conclusions: The radiomics analysis with T1- and T2-weighted MR images could highly predict the recurrence of cervix cancer after radiotherapy. The variation of the distribution and the difference in the pixel number at the peripheral and the center were important predictors.

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Collins, Mark S., Matthew M. Schaar, Doris E. Wenger, and Jawayant N. Mandrekar. "T1-Weighted MRI Characteristics of Pedal Osteomyelitis." American Journal of Roentgenology 185, no. 2 (2005): 386–93. http://dx.doi.org/10.2214/ajr.185.2.01850386.

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Shan, Din-E. "Delayed Ischemic Hyperintensity of T1-Weighted MRI." Stroke 31, no. 3 (2000): 791–99. http://dx.doi.org/10.1161/01.str.31.3.791-e.

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WACHTER, KERRI. "T1-Weighted MRI Confirms Postdural Puncture Headache." Ob.Gyn. News 40, no. 17 (2005): 13. https://doi.org/10.1016/s0029-7437(05)70961-7.

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Qian, Y. F., C. L. Yu, C. Zhang, and Y. Q. Yu. "MR T1-Weighted Inversion Recovery Imaging in Detecting Brain Metastases: Could It Replace T1-Weighted Spin-Echo Imaging?" American Journal of Neuroradiology 29, no. 4 (2008): 701–4. http://dx.doi.org/10.3174/ajnr.a0907.

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Kim, T. K., B. I. Choi, J. K. Han, H. J. Jang, and M. C. Han. "Optimal MR Protocol for Hepatic Hemangiomas." Acta Radiologica 38, no. 4 (1997): 565–71. http://dx.doi.org/10.1080/02841859709174388.

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Purpose: To compare conventional spin-echo (SE) sequences with T2-weighted turbo SE and serial gadolinium-enhanced T1-weighted FLASH sequences in the detection and characterization of hepatic hemangiomas, and to describe the enhancement characteristics of the lesions on dynamic MR imaging. Material and Methods: Forty-two patients with 66 hemangiomas were studied at 1.0 T or 1.5 T by using conventional SE sequences (T1-weighted, T2-weighted, and heavily T2-weighted), T2-weighted turbo SE sequences, and breath-hold T1-weighted FLASH sequences acquired before, immediately after, and 1, 2, 3, 5, and 10 min after injection of a bolus of gadopentetate dimeglumine. Images were quantitatively analyzed for lesion-to-liver contrast-to-noise (C/N) ratios, and qualitatively analyzed for lesion conspicuity. The enhancement pattern and the rapidity of enhancement were analyzed in small (<15 mm), medium (15-39 mm), and large (>39 mm) hemangiomas. Results: In T2-weighted images, T2-weighted turbo SE and heavily T2-weighted SE images had higher C/N ratios than T2-weighted SE images (p=0.003). Lesion conspicuity was not significantly different in these 3 sequences (p=0.307). In T1-weighted images, T1-weighted FLASH images had higher C/N (p<0.001) and also better lesion conspicuity (p<0.001) than T1-weighted SE images. Immediate uniform enhancement was seen in 43% of small hemangiomas (9 of 21 lesions), and persistent central hypo-intensity was seen in 73% of large hemangiomas (11 of 15 lesions). Rapid enhancement was seen in 62% of small hemangiomas (13 of 21 lesions) and in 31% of medium or large hemangiomas (14 of 45 lesions). Conclusion: Further clinical study is needed for evaluating the differential diagnostic advantages of turbo SE T2-weighted imaging compared to the calculation of T2-values by means of a SE T2-weighted sequence. However, the results of the present study suggest that T2-weighted turbo SE imaging and precontrast and serial gadolinium-enhanced FLASH imaging have the potential to replace conventional SE imaging in the evaluation of hepatic hemangiomas.

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Baraliakos, Xenofon, Florian Hoffmann, Xiaohu Deng, Yan-Yan Wang, Feng Huang, and Juergen Braun. "Detection of Erosions in Sacroiliac Joints of Patients with Axial Spondyloarthritis Using the Magnetic Resonance Imaging Volumetric Interpolated Breath-hold Examination." Journal of Rheumatology 46, no. 11 (2019): 1445–49. http://dx.doi.org/10.3899/jrheum.181304.

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Objective.The volumetric interpolated breath-hold examination (VIBE) magnetic resonance imaging (MRI) technique can visualize erosive cartilage defects in peripheral joints. We evaluated the ability of VIBE to detect erosions in sacroiliac joints (SIJ) of patients with axial spondyloarthritis (axSpA) compared to the established T1-weighted MRI sequence and computed tomography (CT).Methods.MRI (T1-weighted and VIBE) and CT scans of SIJ of 109 patients with axSpA were evaluated by 2 blinded readers based on SIJ quadrants (SQ). Erosions were defined according to Assessment of Spondyloarthritis international Society (ASAS) definitions. Scores were recorded if readers were in agreement.Results.Erosions were less frequently detected by CT (153 SQ) than by T1-weighted MRI (182 SQ; p = 0.008) and VIBE-MRI (199 SQ; p < 0.001 vs CT and p = 0.031 vs T1-weighted MRI). Taking CT as the gold standard, the sensitivity of VIBE-MRI (71.2%) was higher than that for T1-weighted MRI (63.4%), with similar specificity (87.3% vs 88%, respectively). In linear regression analysis, younger age was significantly associated with occurrence of erosions independently in VIBE-MRI (β = 0.384, p < 0.001) and T1-weighted MRI (β = 0.369, p < 0.001) compared to CT.Conclusion.The VIBE-MRI sequence was more sensitive than T1-weighted MRI in identifying erosive damage in the SIJ, especially in younger patients. This might be due to the ability of VIBE-MRI to identify structural changes in the cartilage that have not yet extended to the underlying bone, where CT seems to be superior.

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Forgues, M., R. Mehta, D. Anderson, et al. "Non-contrast magnetic resonance imaging for monitoring patients with acoustic neuroma." Journal of Laryngology & Otology 132, no. 9 (2018): 780–85. http://dx.doi.org/10.1017/s0022215118001342.

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AbstractObjectiveTo assess the feasibility of non-contrast T2-weighted magnetic resonance imaging as compared to T1-weighted post-contrast magnetic resonance imaging for detecting acoustic neuroma growth.MethodsAdult patients with acoustic neuroma who underwent at least three magnetic resonance imaging scans of the internal auditory canals with and without contrast in the past nine years were identified. T1- and T2-weighted images were reviewed by three neuroradiologists, and tumour size was measured. Accuracy of the measurements on T2-weighted images was defined as a difference of less than or equal to 2 mm from the measurement on T1-weighted images.ResultsA total of 107 magnetic resonance imaging scans of 26 patients were reviewed. Measurements on T2-weighted magnetic resonance imaging scans were 88 per cent accurate. Measurements on T2-weighted images differed from measurements on T1-weighted images by an average of 1.27 mm, or 10.4 per cent of the total size. The specificity of T2-weighted images was 88.2 per cent and the sensitivity was 77.8 per cent.ConclusionThe T2-weighted sequences are fairly accurate in measuring acoustic neuroma size and identifying growth if one keeps in mind the caveats associated with the tumour characteristics or location.

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Meyer, Hans-Jonas, Stefan Schob, Benno Münch, et al. "Histogram Analysis of T1-Weighted, T2-Weighted, and Postcontrast T1-Weighted Images in Primary CNS Lymphoma: Correlations with Histopathological Findings—a Preliminary Study." Molecular Imaging and Biology 20, no. 2 (2017): 318–23. http://dx.doi.org/10.1007/s11307-017-1115-5.

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Rana, Khizar, Valerie Juniat, Aaron Rayan, Sandy Patel, and Dinesh Selva. "Normative measurements of the superior oblique and inferior oblique muscles by magnetic resonance imaging." Surgical and Radiologic Anatomy 44, no. 4 (2022): 521–25. http://dx.doi.org/10.1007/s00276-022-02915-w.

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Abstract Purpose Normative oblique muscle data may help to diagnose pathological enlargement of the oblique muscles. We aim to describe the normative values of the superior and inferior oblique muscles in an Australian cohort on T1-weighted MRI and fat suppressed contrast enhanced T1-weighted MRI. Methods A retrospective review of patients who underwent 3 T orbital MRI. The healthy orbits were used to conduct measurements in patients with a unilateral orbital lesion. The maximum diameters of the superior and inferior oblique muscles were measured on coronal planes. The diameter was measured perpendicular to the long axis of the muscles. Results The normal measurements (mean ± SD) on fat suppressed contrast enhanced T1-weighted MRI: superior oblique, 3.0 ± 0.5 mm and inferior oblique, 2.7 ± 0.5 mm. On T1-weighted MRI: superior oblique, 2.8 ± 0.5 mm and inferior oblique, 2.5 ± 0.4 mm. In patients who had both sequences performed, the superior and inferior oblique diameters were significantly higher on the fat suppressed contrast-enhanced T1-weighted MRI than the T1-weighted MRI sequence (p < 0.01). Conclusion Oblique muscle enlargement may be seen in a range of orbital diseases. These data may help in diagnosing oblique muscle enlargement. In addition, variations in the measured muscle diameters can be seen according to the scan sequence that is used.

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Pescatori, Lorenzo Carlo, Edoardo Savarino, Giovanni Mauri, et al. "Quantification of visceral adipose tissue by computed tomography and magnetic resonance imaging: reproducibility and accuracy." Radiologia Brasileira 52, no. 1 (2019): 1–6. http://dx.doi.org/10.1590/0100-3984.2017.0211.

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Abstract Objective: To evaluate the feasibility of quantifying visceral adipose tissue (VAT) on computed tomography (CT) and magnetic resonance imaging (MRI) scans, using freeware, as well as calculating intraobserver and interobserver reproducibility. Materials and Methods: We quantified VAT in patients who underwent abdominal CT and MRI at our institution between 2010 and 2015, with a maximum of three months between the two examinations. A slice acquired at the level of the umbilicus was selected. Segmentation was performed with the region growing algorithm of the freeware employed. Intraobserver and interobserver reproducibility were evaluated, as was the accuracy of MRI in relation to that of CT. Results: Thirty-one patients (14 males and 17 females; mean age of 57 ± 15 years) underwent CT and MRI (mean interval between the examinations, 28 ± 12 days). The interobserver reproducibility was 82% for CT (bias = 1.52 cm2; p = 0.488), 86% for T1-weighted MRI (bias = −4.36 cm2; p = 0.006), and 88% for T2-weighted MRI (bias = −0.52 cm2; p = 0.735). The intraobserver reproducibility was 90% for CT (bias = 0.14 cm2; p = 0.912), 92% for T1-weighted MRI (bias = −3,4 cm2; p = 0.035), and 90% for T2-weighted MRI (bias = −0.30 cm2; p = 0.887). The reproducibility between T1-weighted MRI and T2-weighted MRI was 87% (bias = −0.11 cm2; p = 0.957). In comparison with the accuracy of CT, that of T1-weighted and T2-weighted MRI was 89% and 91%, respectively. Conclusion: The program employed can be used in order to quantify VAT on CT, T1-weighted MRI, and T2-weighted MRI scans. Overall, the accuracy of MRI (in comparison with that of CT) appears to be high, as do intraobserver and interobserver reproducibility. However, the quantification of VAT seems to be less reproducible in T1-weighted sequences.

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Wang, Li, Yao Ding, Teresa L. Bruno, et al. "A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS)." Cancers 16, no. 10 (2024): 1922. http://dx.doi.org/10.3390/cancers16101922.

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Magnetic resonance imaging (MRI) can facilitate accurate organ delineation and optimal dose distributions in high-dose-rate (HDR) MRI-Assisted Radiosurgery (MARS). Its use for this purpose has been limited by the lack of positive-contrast MRI markers that can clearly delineate the lumen of the HDR applicator and precisely show the path of the HDR source on T1- and T2-weighted MRI sequences. We investigated a novel MRI positive-contrast HDR brachytherapy or interventional radiotherapy line marker, C4:S, consisting of C4 (visible on T1-weighted images) complexed with saline. Longitudinal relaxation time (T1) and transverse relaxation time (T2) for C4:S were measured on a 1.5 T MRI scanner. High-density polyethylene (HDPE) tubing filled with C4:S as an HDR brachytherapy line marker was tested for visibility on T1- and T2-weighted MRI sequences in a tissue-equivalent female ultrasound training pelvis phantom. Relaxivity measurements indicated that C4:S solution had good T1-weighted contrast (relative to oil [fat] signal intensity) and good T2-weighted contrast (relative to water signal intensity) at both room temperature (relaxivity ratio > 1; r2/r1 = 1.43) and body temperature (relaxivity ratio > 1; r2/r1 = 1.38). These measurements were verified by the positive visualization of the C4:S (C4/saline 50:50) HDPE tube HDR brachytherapy line marker on both T1- and T2-weighted MRI sequences. Orientation did not affect the relaxivity of the C4:S contrast solution. C4:S encapsulated in HDPE tubing can be visualized as a positive line marker on both T1- and T2-weighted MRI sequences. MRI-guided HDR planning may be possible with these novel line markers for HDR MARS for several types of cancer.

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Hickman, S. J., G. J. Barker, P. D. Molyneux, and D. H. Miller. "Technical note: the comparison of hypointense lesions from ‘pseudo-T1’ and T1-weighted images in secondary progressive multiple sclerosis." Multiple Sclerosis Journal 8, no. 5 (2002): 433–35. http://dx.doi.org/10.1191/1352458502ms824xx.

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There is a large historical database of dual-echo conventional spin-echo (CSE) magnetic resonance images in multiple sclerosis (MS). If new analysis techniques can be developed then this database could provide valuable information. We have investigated a technique in which the late echo of a dual-echo data set is subtracted from the corresponding early echoyielding images, which appear qualitatively similar to T1- weighted images. This study investigated whether the hypointense lesions on the ‘pseudo-T1’ images (created as described above) were related to hypointense lesions on conventional T1-weighted images. The hypointense lesion areas were measured by a blinded observer using a computer-assisted contouring technique applied to pseudo-T1 and T1-weighted CSE images obtained from 17 patients with secondary progressive MS (SPMS). The mean hypointense lesion area from T1-weighted images was 2218- 2072 mm2, compared to 1426-1353 mm2 from pseudo-T1 images (p =0.008). There was, however, a strong correlation between the values obtained from the two sets of images (r =0.93, p <0.001). The strong correlation between the values obtained from the two sets of images suggests that pseudo-T1 images may be useful to investigate a subgroup of more destructive lesions in MS from historical databases and in future prospective studies when imaging time is limited.

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MacDonald, David, Frank C. J. M. van Veggel, Boguslaw Tomanek, and Barbara Blasiak. "Contrast Enhancement in MRI Using Combined Double Action Contrast Agents and Image Post-Processing in the Breast Cancer Model." Materials 16, no. 8 (2023): 3096. http://dx.doi.org/10.3390/ma16083096.

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Gd- and Fe-based contrast agents reduce T1 and T2 relaxation times, respectively, are frequently used in MRI, providing improved cancer detection. Recently, contrast agents changing both T1/T2 times, based on core/shell nanoparticles, have been introduced. Although advantages of the T1/T2 agents were shown, MR image contrast of cancerous versus normal adjacent tissue induced by these agents has not yet been analyzed in detail as authors considered changes in cancer MR signal or signal-to-noise ratio after contrast injection rather than changes in signal differences between cancer and normal adjacent tissue. Furthermore, the potential advantages of T1/T2 contrast agents using image manipulation such as subtraction or addition have not been yet discussed in detail. Therefore, we performed theoretical calculations of MR signal in a tumor model using T1-weighted, T2-weighted, and combined images for T1-, T2-, and T1/T2-targeted contrast agents. The results from the tumor model are followed by in vivo experiments using core/shell NaDyF4/NaGdF4 nanoparticles as T1/T2 non-targeted contrast agent in the animal model of triple negative breast cancer. The results show that subtraction of T2-weighted from T1-weighted MR images provides additional increase in the tumor contrast: over two-fold in the tumor model and 12% in the in vivo experiment.

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Preziosa, Paolo, Piet M. Bouman, Svenja Kiljan, et al. "Neurite density explains cortical T1-weighted/T2-weighted ratio in multiple sclerosis." Journal of Neurology, Neurosurgery & Psychiatry 92, no. 7 (2021): 790–92. http://dx.doi.org/10.1136/jnnp-2020-324391.

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Abbott, DF, GS Pell, H. Pardoe, and GD Jackson. "Voxel-based iterative sensitivity analysis of T1-weighted MRI signal intensity (VBIS-T1)." NeuroImage 47 (July 2009): S125. http://dx.doi.org/10.1016/s1053-8119(09)71206-6.

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Sui, Binbin, Xiaoyan Bai, Peiyi Gao, et al. "High-resolution vessel wall magnetic resonance imaging for depicting imaging features of unruptured intracranial vertebrobasilar dissecting aneurysms." Journal of International Medical Research 49, no. 2 (2021): 030006052097738. http://dx.doi.org/10.1177/0300060520977388.

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Objective To demonstrate the application value of high-resolution vessel wall magnetic resonance imaging (HR-VW-MRI) for depicting the imaging features of unruptured intracranial vertebrobasilar dissecting aneurysms (VBDAs). Methods HR-VW-MRI data of 49 patients with suspected unruptured VBDAs were retrospectively analyzed. The presence of intramural hematomas (IMH), double lumens, intimal flaps, and outer diameter enlargements were recorded. Specificity and sensitivity were calculated for both two-dimensional (2D) and three-dimensional (3D) sequences. Additionally, IMH volumes were measured and posterior inferior cerebellar artery (PICA) involvement was analyzed. Results Thirty-five VBDAs were confirmed in 34 patients. The overall sensitivity and specificity were 0.889 (95% confidence interval [CI]: 0.730–0.964) and 0.769 (95% CI: 0.460–0.938) for 2D sequences, and 0.917 (95% CI: 0.764–0.978) and 0.846 (95% CI: 0.537–0.973) for 3D sequences, respectively. Intimal flaps were detected in 57.1%, 87.5%, and 71.4% of all cases on 2D pre-contrast T1-weighted, contrast-enhanced T1-weighted, and 3D T1-weighted black-blood (BB) images, respectively. There was no significant difference in IMH volume between 3D T1-weighted BB and magnetization-prepared rapid gradient-echo sequences. PICA involvement was best visualized using 3D T1 sequences. Conclusion 3D T1-weighted BB MRI provided good visualization of VBDA features, with large coverage, and was useful for detecting dissection flaps.

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Gastl, Mareike, Justyna M. Sokolska, Malgorzata Polacin, et al. "Parametric mapping CMR for the measurement of inflammatory reactions of the pericardium." Open Heart 9, no. 1 (2022): e001919. http://dx.doi.org/10.1136/openhrt-2021-001919.

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ObjectivesAlthough cardiovascular magnetic resonance (CMR) is increasingly used to diagnose pericardial inflammation, imaging can still be challenging using conventional CMR techniques. Parametric mapping (T1/T2 mapping) techniques have emerged as novel methods to quantify focal and global changes of the myocardium without contrast agent. The aim of the present study was to implement parametric mapping to facilitate diagnostic decision-making in pericardial inflammation.MethodsTwenty patients with pericardial inflammation underwent CMR (1.5T system) including T1-weighted/T2-weighted imaging, T1/T2 mapping and late gadolinium enhancement. T1/T2 mapping was performed in end-diastole covering three short-axis slices. Diagnosis of pericardial inflammation was made according to recent guidelines. T1/T2 measurements were pursued by manually drawing regions of interest (ROIs) in the thickened, diseased pericardium carefully avoiding contamination by other cardiac structures. Parametric values were correlated to further markers of pericardial inflammation, such as pericardial thickening and inflammatory parameters.ResultsOn average, the pericardium displayed a thickness of 4.8±1.0 mm. Mean T1 value was 1363.0±227.1 ms and T2 value was 123.3±52.6 ms, which were above patient’s myocardial values (myocardial T1: 998.7±81.0 ms, p<0.001, median 1014.46 ms; T2: 68.0±28.9 m,p<0.001) and the values of a group of four patients with chronic pericarditis (T1: 953.0±16.7 ms; T2: 63.2±10.1 ms). T1 and T2 showed a correlation to the extent of the thickened pericardium (R=0.64, p=0.002 for T1, R=0.72, p=0.005 for T2). There was no correlation of pericardial T1/T2 to blood markers of inflammation, myocardial injury (C reactive protein, troponin, creatine kinase) or further CMR parameters.ConclusionsIn patients with pericardial inflammation, parametric mapping showed elevated T1 and T2 values. Parametric mapping may help to facilitate diagnosis of pericardial inflammation if conventional parameters such as pericardial hyperintensity in T1-weighted or T2-weighted imaging or contrast agent uptake are heterogeneous.

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Vicel Bicada, Albano. "TURMERIC (Curcuma Longa) INFUSED SWEET POTATO (Ipomoea Batatas) POLVORON: RECIPE FORMULATION." International Journal of Advanced Research 13, no. 04 (2025): 1028–36. https://doi.org/10.21474/ijar01/20807.

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This study delves into the product development of Sweet Potato Polvoron with Turmeric Powder, focusing on Aroma, Color, Taste, and overall General Product Development. Employing an experimental design, the research gathered data using the weighted mean method. Three distinct formulations were explored: Treatment 1 (T1) incorporated 50 grams of turmeric powder, Treatment 2 (T2) featured 100 grams, and Treatment 3 (T3) utilized 25 grams. Upon analysis of the aroma, CTU-TuburanTuburan Campus employees rated T1 as Very Pleasant with a weighted mean of 3.46, T2 received a rating of 3.4, also falling within the category of Very Pleasant, and T3 achieved an impressive weighted mean of 4.8, corresponding to Extremely Pleasant. In terms of color, T1 was rated as Very Appealing with a weighted mean of 4.1, T2 received a rating of 4.0 (Very Pleasant), and T3 was deemed Extremely Appealing with a weighted mean of 4.8. For taste, T1 earned a Very Palatable rating with a weighted mean of 4.16, T2 was rated Very Pleasant with a weighted mean of 3.89, and T3 achieved an Extremely Palatable rating with a weighted mean of 4.6. Considering general acceptability, T1 was rated Very Acceptable with a weighted mean of 4.08, T2 received a rating of 4.0 (Very Pleasant), and T3 emerged as the most preferred with a weighted mean of 4.64. In conclusion, Treatment 3 demonstrated superior performance in terms of Aroma, Color, Taste, and overall General Product Development. This suggests that T3 holds significant potential as an Income Generating Program (IGP) within the institution and as a favored sweet delicacy in the Municipality of Tuburan. The study provides valuable insights into the sensory attributes, market potential, and economic viability of Sweet Potato Polvoron with Turmeric Powder.

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Ahir, Param, and Mehul Parikh. "DYNAMIC CHANNEL-ALIGNED 3D U-NET FOR EXPLAINABLE T2-WEIGHTED INFANT BRAIN MRI SYNTHESIS FROM T1-WEIGHTED MRI." ICTACT Journal on Soft Computing 15, no. 3 (2025): 3634–38. https://doi.org/10.21917/ijsc.2025.0504.

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Magnetic Resonance Imaging (MRI) is a crucial tool in clinical diagnostics, with T1-weighted (T1) and T2-weighted (T2). Acquiring high-quality T2-weighted MRI, especially for infant brains, presents challenges due to lengthy acquisition times, motion artifacts, and scanner variability. This study introduces the Adaptive Dual Domain U-Net, a novel 3D U-Net architecture enhanced with dynamic channel alignment for synthesizing T2-weighted MRI from T1-weighted inputs. The proposed model addresses domain variability, integrates explainability tools using Captum, and employs patch-based training for efficient memory utilization and high-resolution reconstruction. Quantitative evaluations on the iSeg-2019 dataset demonstrate superior performance across key metrics such as Mean Squared Error (MSE), Structural Similarity Index (SSIM), and R² compared to baseline methods. Qualitative results highlight the model’s ability to generate structurally accurate and clinically interpretable synthetic T2- weighted images, making it a robust tool for both clinical and research applications.

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Han, Yong Choi, Kug Balk Seung, Woo Hyun Ahn, and Bong Gi Kim. "Bilateral Hyperintense Basal Ganglia on T1-weighted Image." Journal of the Korean Radiological Society 30, no. 1 (1994): 1. http://dx.doi.org/10.3348/jkrs.1994.30.1.1.

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Lai, P. H., C. Chen, H. L. Liang, and H. B. Pan. "Hyperintense basal ganglia on T1-weighted MR imaging." American Journal of Roentgenology 172, no. 4 (1999): 1109–15. http://dx.doi.org/10.2214/ajr.172.4.10587157.

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Kangarlu, Allahyar, Amir M. Abduljalil, and Pierre-Marie L. Robitaille. "T1- and T2-Weighted Imaging at 8 Tesla." Journal of Computer Assisted Tomography 23, no. 6 (1999): 875–78. http://dx.doi.org/10.1097/00004728-199911000-00010.

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Chezmar, J. L., S. M. Robbins, R. C. Nelson, H. V. Steinberg, W. E. Torres, and M. E. Bernardino. "Adrenal Masses: Characterization With T1-Weighted MR Imaging." Journal of Urology 141, no. 1 (1989): 204–5. http://dx.doi.org/10.1016/s0022-5347(17)40667-7.

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Watanabe, Takashi, and Jens Frahm. "Gadobutrol enhances T1-weighted MRI of nerve cells." Toxicology Letters 308 (June 2019): 17–23. http://dx.doi.org/10.1016/j.toxlet.2019.03.005.

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Yousem, David M., John A. Arrington, Ashok J. Kumar, and R. Nick Bryan. "Bright lesions on sellar/parasellar T1-weighted scans." Clinical Imaging 14, no. 2 (1990): 99–105. http://dx.doi.org/10.1016/0899-7071(90)90002-s.

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Novak, G., G. Nyiri, K. Hwang, L. Dong, and M. Fidrich. "Pelvic Bone Segmentation on T1-Weighted MR Images." International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (2011): S819. http://dx.doi.org/10.1016/j.ijrobp.2011.06.1442.

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Chezmar, J. L., S. M. Robbins, R. C. Nelson, H. V. Steinberg, W. E. Torres, and M. E. Bernardino. "Adrenal masses: characterization with T1-weighted MR imaging." Radiology 166, no. 2 (1988): 357–59. http://dx.doi.org/10.1148/radiology.166.2.3336711.

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Popp Weingarten, C. A., A. W. Song, E. C. Wong, G. Cotsonis, and J. S. Hyde. "T1-selective diffusion weighted fMRI at 1.5 T." NMR in Biomedicine 11, no. 8 (1998): 405–13. http://dx.doi.org/10.1002/(sici)1099-1492(199812)11:8<405::aid-nbm532>3.0.co;2-8.

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Borthakur, Arijitt, Andrew Wheaton, Sridhar R. Charagundla, et al. "Three-dimensional T1?-weighted MRI at 1.5 Tesla." Journal of Magnetic Resonance Imaging 17, no. 6 (2003): 730–36. http://dx.doi.org/10.1002/jmri.10296.

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Mutlu, H., E. Silit, Z. Pekkafali, C. C. Basekim, M. Kantarci, and E. Kizilkaya. "Tuberculous Meningitis: Comparison of Contrast Enhanced T1-Weighted and Flair MR Imaging with Magnetization Transfer Contrast." Rivista di Neuroradiologia 18, no. 2 (2005): 185–90. http://dx.doi.org/10.1177/197140090501800208.

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Fluid-attenuated inversion recovery (FLAIR) imaging with contrast enhancement is highly sensitive for detecting subarachnoid space disease. We hypothesized that contrast-enhanced FLAIR imaging with magnetization transfer would offer superior sensitivity to contrast-enhanced T1-weighted MR imaging with magnetization transfer in detecting TB meningitis. Forty-four patients referred for suspected TB meningitis underwent MR imaging studies. The patients had either proven TB meningitis or negative TB meningitis. The MR imaging examinations included both contrast-enhanced FLAIR and T1-weighted MR images with magnetization transfers that were independently reviewed by two neuroradiologists. Each of the sequences was reviewed individually and separately and was assigned a score of positive or negative for TB meningitis. Of the 21 studies of patients with proven TB meningitis, nine were positive based on contrast-enhanced FLAIR images with magnetization transfer, and 13 were positive based on contrast-enhanced T1-weighted MR images with magnetization transfer. Of the 23 studies of patients without TB meningitis, 19 were negative based on contrast-enhanced FLAIR images, and 20 were negative based on contrast-enhanced T1-weighted MR images with magnetization transfer. The sensitivity and specificity for contrast-enhanced FLAIR images for detecting TB meningitis were 43% (nine of 21) and 82% (19 of 23), respectively. The sensitivity and specificity of contrast-enhanced T1-weighted MR images with magnetization transfer for detecting TB meningitis were 62% (13 of 21) and 87% (20 of 23), respectively. Contrast-enhanced FLAIR imaging with magnetization transfer is less sensitive than contrast-enhanced T1-weighted MR sequences with magnetization transfer in detecting TB meningitis.

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Lee, Jeong Kyong, Hye Young Choi, Sun Wha Lee, Seung Yon Baek, and Hyae Young Kim. "Usefulness of T1-weighted image with fast inversion recovery technique in intracranial lesions: comparison with T1-weighted spin echo image." Clinical Imaging 24, no. 5 (2000): 263–69. http://dx.doi.org/10.1016/s0899-7071(00)00229-1.

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Shen, Wei, Xiuqun Gong, Jessica Weiss, and Ye Jin. "Comparison among T1-Weighted Magnetic Resonance Imaging, Modified Dixon Method, and Magnetic Resonance Spectroscopy in Measuring Bone Marrow Fat." Journal of Obesity 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/298675.

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Introduction. An increasing number of studies are utilizing different magnetic resonance (MR) methods to quantify bone marrow fat due to its potential role in osteoporosis. Our aim is to compare the measurements of bone marrow fat among T1-weighted magnetic resonance imaging (MRI), modified Dixon method (also called fat fraction MRI (FFMRI)), and magnetic resonance spectroscopy (MRS).Methods. Contiguous MRI scans were acquired in 27 Caucasian postmenopausal women with a modified Dixon method (i.e., FFMRI). Bone marrow adipose tissue (BMAT) of T1-weighted MRI and bone marrow fat fraction of the L3 vertebra and femoral necks were quantified using SliceOmatic and Matlab. MRS was also acquired at the L3 vertebra.Results. Correlation among the three MR methods measured bone marrow fat fraction and BMAT ranges from 0.78 to 0.88 in the L3 vertebra. Correlation between BMAT measured by T1-weighted MRI and bone marrow fat fraction measured by modified FFMRI is 0.86 in femoral necks.Conclusion. There are good correlations among T1-weighted MRI, FFMRI, and MRS for bone marrow fat quantification. The inhomogeneous distribution of bone marrow fat, the threshold segmentation of the T1-weighted MRI, and the ambiguity of the FFMRI may partially explain the difference among the three methods.

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Fukunishi, H., K. Funaki, K. Ikuma, et al. "Unsuspected uterine leiomyosarcoma: magnetic resonance imaging findings before and after focused ultrasound surgery." International Journal of Gynecologic Cancer 17, no. 3 (2007): 724–28. http://dx.doi.org/10.1136/ijgc-00009577-200705000-00025.

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Uterine leiomyosarcoma, initially diagnosed as leiomyoma on magnetic resonance (MR) images, was disclosed after focused ultrasound surgery (FUS). The tumor did not display high signal intensity on either T1- or T2-weighted images on the patient's first visit. Four months thereafter, T2-weighted images revealed a high signal intensity area within the tumor, while T1-weighted images showed low signal intensity. Six months after FUS, the nonperfused volume calculated on meglumine gadoterate-enhanced T1-weighted images decreased markedly and an intermediate signal intensity in a circular area on T2-weighted images appeared to be atypically increasing in volume. After laparoscopic myomectomy, this tumor was diagnosed as uterine leiomyosarcoma coexistent with leiomyoma. The early stages of uterine leiomyosarcoma are clinically difficult to diagnose; therefore, both careful monitoring during FUS and close follow-up after the procedure are vital.

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Ren, Hong, Wei Lin, and Xianjun Ding. "Surface coil intensity correction in magnetic resonance imaging in spinal metastases." Open Medicine 12, no. 1 (2017): 138–43. http://dx.doi.org/10.1515/med-2017-0021.

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AbstractObjectiveTo evaluate the clinical application of phased-array surface coil intensity correction in magnetic resonance imaging (MRI) in spinal metastases.Methods3 phantoms and 50 patients with a corresponding total number of 80 spinal metastases were included in this study. Fast spin echo T1- and T2- weighted MRI with and without surface coil intensity correction was routinely performed for all phantoms and patients. Phantoms were evaluated by means of variance to mean ratio of signal intensity on both T1- and T2- weighted MRI obtained with and without surface coil intensity correction. Spinal metastases were evaluated by image quality scores; reading time per case on both T1- and T2- weighted MRI obtained with and without surface coil intensity correction.ResultsSpinal metastases were diagnosed more successfully on MRI with surface coil intensity correction than on MRI with conventional surface coil technique. The variance to mean ratio of signal intensity was 53.36% for original T1-weighted MRI and 53.58% for original T2-weighted MRI. The variance to mean ratio of signal intensity was reduced to 18.99% for T1-weighted MRI with surface coil intensity correction and 22.77% for T2-weighted MRI with surface coil intensity correction. The overall image quality scores (interface conspicuity of lesion and details of lesion) were significantly higher than those of the original MRI. The reading time per case was shorter for MRI with surface coil intensity correction than for MRI without surface coil intensity correction.ConclusionsPhased-array surface coil intensity correction in MRIs of spinal metastases provides improvements in image quality that leads to more successfully detection and assessment of spinal metastases than original MRI.

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Schiaffino, Simone, Andrea Cozzi, Barbara Pompei, et al. "MRI-Conditional Breast Tissue Expander: First In-Human Multi-Case Assessment of MRI-Related Complications and Image Quality." Journal of Clinical Medicine 12, no. 13 (2023): 4410. http://dx.doi.org/10.3390/jcm12134410.

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This study aims to assess potential complications and effects on the magnetic resonance imaging (MRI) image quality of a new MRI-conditional breast tissue expander (Motiva Flora®) in its first in-human multi-case application. Twenty-four patients with 36 expanders underwent non-contrast breast MRI with T1-weighted, T2-weighted, and diffusion-weighted imaging (DWI) sequences on a 3 T unit before breast tissue expander exchange surgery, being monitored during and after MRI for potential complications. Three board-certified breast radiologists blindly and independently reviewed image quality using a four-level scale (“poor”, “sufficient”, “good”, and “excellent”), with inter-reader reliability being assessed with Kendall’s τb. The maximum diameters of RFID-related artifacts on T1-weighted and DWI sequences were compared with the Wilcoxon signed-rank test. All 24 examinations were completed without patient-related or device-related complications. The T1-weighted and T2-weighted sequences of all the examinations had “excellent” image quality and a median 11 mm (IQR 9–12 mm) RFID artifact maximum diameter, significantly lower (p < 0.001) than on the DWI images (median 32.5 mm, IQR 28.5–34.5 mm). DWI quality was rated at least “good” in 63% of the examinations, with strong inter-reader reliability (Kendall’s τb 0.837, 95% CI 0.687–0.952). This first in-human study confirms the MRI-conditional profile of this new expander, which does not affect the image quality of T1-weighted and T2-weighted sequences and moderately affects DWI quality.

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Kawahara, Daisuke, and Yasushi Nagata. "T1-weighted and T2-weighted MRI image synthesis with convolutional generative adversarial networks." Reports of Practical Oncology and Radiotherapy 26, no. 1 (2021): 35–42. http://dx.doi.org/10.5603/rpor.a2021.0005.

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Ream, Justin M., and Andrew B. Rosenkrantz. "Advances in T1-Weighted and T2-Weighted Imaging in the Abdomen and Pelvis." Radiologic Clinics of North America 53, no. 3 (2015): 583–98. http://dx.doi.org/10.1016/j.rcl.2015.01.003.

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Peyrot, Hélène, Pierre-François Montoriol, and Michel Canis. "Spontaneous T1-Hyperintensity within an Ovarian Lesion: Spectrum of Diagnoses." Canadian Association of Radiologists Journal 66, no. 2 (2015): 115–20. http://dx.doi.org/10.1016/j.carj.2014.07.006.

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Whenever elevated signal intensity is displayed at magnetic resonance imaging (MRI) within an ovarian lesion on unenhanced T1-weighted sequences, some specific diagnoses should be considered because only 3 main components may be responsible for this T1-hyperintensity at MRI: fat, blood products, and proteinaceous or mucinous material. The associated clinical data and concomitant use of T2-weighted sequences and fat-saturation techniques is mandatory to make this tissue characterization possible. The goal of this pictorial review is to provide a simple radiologic reasoning and the differential diagnoses to consider in the presence of spontaneous elevated signal intensity on T1-weighted sequences within a cystic or solid ovarian tumour.

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Journal articles on the topic 'T1-weighted'

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