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Journal articles on the topic '3D brain imaging'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Sumithra, M., P. Madhumitha, S. Madhumitha, D. Malini, and B. Poorni Vinayaa. "3D Segmentation of Brain Tumor Imaging." International Journal of Advanced Engineering, Management and Science 6, no. 6 (2020): 256–60. http://dx.doi.org/10.22161/ijaems.66.5.

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Kakeda, Shingo, Yukunori Korogi, Yasuhiro Hiai, Norihiro Ohnari, Toru Sato, and Toshinori Hirai. "Pitfalls of 3D FLAIR Brain Imaging." Academic Radiology 19, no. 10 (2012): 1225–32. http://dx.doi.org/10.1016/j.acra.2012.04.017.

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3

Taranda, Julian, and Sevin Turcan. "3D Whole-Brain Imaging Approaches to Study Brain Tumors." Cancers 13, no. 8 (2021): 1897. http://dx.doi.org/10.3390/cancers13081897.

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Although our understanding of the two-dimensional state of brain tumors has greatly expanded, relatively little is known about their spatial structures. The interactions between tumor cells and the tumor microenvironment (TME) occur in a three-dimensional (3D) space. This volumetric distribution is important for elucidating tumor biology and predicting and monitoring response to therapy. While static 2D imaging modalities have been critical to our understanding of these tumors, studies using 3D imaging modalities are needed to understand how malignant cells co-opt the host brain. Here we summa

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Yao, Junjie. "Deep-brain imaging with 3D integrated photoacoustic tomography and ultrasound localization microscopy." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A53. http://dx.doi.org/10.1121/10.0026774.

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Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While PACT can quantify the brain’s oxygen saturation of hemoglobin (sO2), US imaging can probe the blood flow based on the Doppler effect. Furthermore, by tracking gas-filled microbubbles, ultrasound localization microscopy (ULM) can map the blood flow velocity with sub-diffraction spatial resolution. In this work, we present a 3D deep-brain imaging system that sea

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Pooh, Ritsuko K. "Three-dimensional Evaluation of the Fetal Brain." Donald School Journal of Ultrasound in Obstetrics and Gynecology 11, no. 4 (2017): 268–75. http://dx.doi.org/10.5005/jp-journals-10009-1532.

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ABSTRACT Three-dimensional (3D) ultrasound is one of the most attractive modalities in the field of fetal ultrasound imaging. Combination of both transvaginal sonography and 3D ultrasound may be a great diagnostic tool for evaluation of 3D structure of fetal central nervous system (CNS). Recent advanced 3D ultrasound equipments have several useful functions, such as surface anatomy imaging; multiplanar imaging of the intracranial structure; tomographic ultrasound imaging of fetal brain in the any cutting section; bony structural imaging of the calvaria and vertebrae; thick slice imaging of the

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Ren, Jiahao, Xiaocen Wang, Chang Liu, et al. "3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks." Sensors 23, no. 19 (2023): 8341. http://dx.doi.org/10.3390/s23198341.

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Compared to magnetic resonance imaging (MRI) and X-ray computed tomography (CT), ultrasound imaging is safer, faster, and more widely applicable. However, the use of conventional ultrasound in transcranial brain imaging for adults is predominantly hindered by the high acoustic impedance contrast between the skull and soft tissue. This study introduces a 3D AI algorithm, Brain Imaging Full Convolution Network (BIFCN), combining waveform modeling and deep learning for precise brain ultrasound reconstruction. We constructed a network comprising one input layer, four convolution layers, and one po

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Avasarala, Jagannadha, and Todd Pietila. "The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine." F1000Research 6 (August 30, 2017): 1603. http://dx.doi.org/10.12688/f1000research.12336.1.

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Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient’s brain stricken with multiple sclerosis (MS) in 3D using 2D images has not been attempted. Using 3D reconstruction algorithms, we built a 3D printed patient-specific brain model to scale. It is a first of its kind model that depicts the total white matter lesion (WML) load using T2 FLAIR images in an MS patient. The patient images in Digital Imaging and Communications in Medicine (DICOM) format were imported into Mimics inPrint 2.0 (Materialise NV, Leuven, Belgium)

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Avasarala, Jagannadha, and Todd Pietila. "The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine." F1000Research 6 (September 20, 2017): 1603. http://dx.doi.org/10.12688/f1000research.12336.2.

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Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient’s brain stricken with multiple sclerosis (MS) in 3D using 2D images has not been attempted. Using 3D reconstruction algorithms, we built a 3D printed patient-specific brain model to scale. It is a first of its kind model that depicts the total white matter lesion (WML) load using T2 FLAIR images in an MS patient. The patient images in Digital Imaging and Communications in Medicine (DICOM) format were imported into Mimics inPrint 2.0 (Materialise NV, Leuven, Belgium)

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Miao, Peng, Zhixia Wu, Miao Li, et al. "Synchrotron Radiation X-Ray Phase-Contrast Tomography Visualizes Microvasculature Changes in Mice Brains after Ischemic Injury." Neural Plasticity 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3258494.

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Imaging brain microvasculature is important in plasticity studies of cerebrovascular diseases. Applying contrast agents, traditionalμCT andμMRI methods gain imaging contrast for vasculature. The aim of this study is to develop a synchrotron radiation X-ray inline phase-contrast tomography (SRXPCT) method for imaging the intact mouse brain (micro)vasculature in high resolution (~3.7 μm) without contrast agent. A specific preparation protocol was proposed to enhance the phase contrast of brain vasculature by using density difference over gas-tissue interface. The CT imaging system was developed

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Wang, Hao, Qingyuan Zhu, Lufeng Ding, et al. "Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution." National Science Review 6, no. 5 (2019): 982–92. http://dx.doi.org/10.1093/nsr/nwz053.

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Abstract The speed of high-resolution optical imaging has been a rate-limiting factor for meso-scale mapping of brain structures and functional circuits, which is of fundamental importance for neuroscience research. Here, we describe a new microscopy method of Volumetric Imaging with Synchronized on-the-fly-scan and Readout (VISoR) for high-throughput, high-quality brain mapping. Combining synchronized scanning beam illumination and oblique imaging over cleared tissue sections in smooth motion, the VISoR system effectively eliminates motion blur to obtain undistorted images. By continuously im

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11

de Crespigny, Alex, Hani Bou-Reslan, Merry C. Nishimura, Heidi Phillips, Richard A. D. Carano, and Helen E. D’Arceuil. "3D micro-CT imaging of the postmortem brain." Journal of Neuroscience Methods 171, no. 2 (2008): 207–13. http://dx.doi.org/10.1016/j.jneumeth.2008.03.006.

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12

Ali Shah, Syed Osama, and Alishba Eman. "3D BRAIN TUMOR DETECTION USING 3D CNNS AND GRAPH CONVOLUTIONAL NETWORKS (GCNs)." International Journal of Trendy Research in Engineering and Technology 08, no. 06 (2024): 28–44. http://dx.doi.org/10.54473/ijtret.2024.8605.

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The research introduces a 3D brain tumor identification method that combines the capabilities of 3D Convolutional Neural Networks (3D CNNs) and Graph Convolutional Networks (GCNs) to explore the complex structure of volumetric brain scans. The research begins with a dataset extracted from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans, which serves as a foundation for a comprehensive analysis of 3D medical imaging data. The core of the technology is centered around the coordination of 3D Convolutional Neural Networks (CNNs), utilizing their convolutional layers, pooling la

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Avasarala, Jagannadha, and Todd Pietila. "The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine." F1000Research 6 (February 28, 2018): 1603. http://dx.doi.org/10.12688/f1000research.12336.3.

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Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient’s brain stricken with multiple sclerosis (MS) in 3D using 2D images has not been attempted. Using 3D reconstruction algorithms, we built a 3D printed patient-specific brain model to scale. It is a first of its kind model that depicts the total white matter lesion (WML) load using T2 FLAIR images in an MS patient. The patient’s images in Digital Imaging and Communications in Medicine (DICOM) format were imported into Mimics inPrint 2.0 (Materialise NV, Leuven, Belgiu

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Avasarala, Jagannadha, and Todd Pietila. "The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine." F1000Research 6 (May 18, 2018): 1603. http://dx.doi.org/10.12688/f1000research.12336.4.

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Conventional magnetic resonance imaging (MRI) studies depict disease of the human brain in 2D but the reconstruction of a patient’s brain stricken with multiple sclerosis (MS) in 3D using 2D images has not been attempted. Using 3D reconstruction algorithms, we built a 3D printed patient-specific brain model to scale. It is a first of its kind model that depicts the total white matter lesion (WML) load using T2 FLAIR images in an MS patient. The patient’s images in Digital Imaging and Communications in Medicine (DICOM) format were imported into Mimics inPrint 2.0 (Materialise NV, Leuven, Belgiu

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Shi, Shupeng, Haoran Zhang, Xianzhen Yin, et al. "3D digital anatomic angioarchitecture of the mouse brain using synchrotron-radiation-based propagation phase-contrast imaging." Journal of Synchrotron Radiation 26, no. 5 (2019): 1742–50. http://dx.doi.org/10.1107/s160057751900674x.

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Thorough investigation of the three-dimensional (3D) configuration of the vasculature of mouse brain remains technologically difficult because of its complex anatomical structure. In this study, a systematic analysis is developed to visualize the 3D angioarchitecture of mouse brain at ultrahigh resolution using synchrotron-radiation-based propagation phase-contrast imaging. This method provides detailed restoration of the intricate brain microvascular network in a precise 3D manner. In addition to depicting the delicate 3D arrangements of the vascular network, 3D virtual micro-endoscopy is als

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Riyazudeen, Mohamed, and Mohamed Sathik. "Converting 2D magnetic resource imagining brain tumors to 3D structure using depth map machine learning techniques." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 513–20. https://doi.org/10.11591/ijeecs.v27.i1.pp513-520.

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The use of medical imaging technology aids clinicians in recognizing and assessing patient problems, as well as improving treatment procedures. However, while conducting complex procedures such as the excision of brain tumors, the knowledge and biological research gathered from 2D images are insufficient. Converting 2D images to 3D images may assist doctors in determining the size, shape, and sharp area of tumor cells in the brain. The feasibility of translating 2D medical image data to a 3D model is described in this work. A suggested framework for predicting the size, shape, and location of

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Gleave, Jacqueline A., Michael D. Wong, Jun Dazai, et al. "Neuroanatomical phenotyping of the mouse brain with three-dimensional autofluorescence imaging." Physiological Genomics 44, no. 15 (2012): 778–85. http://dx.doi.org/10.1152/physiolgenomics.00055.2012.

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The structural organization of the brain is important for normal brain function and is critical to understand in order to evaluate changes that occur during disease processes. Three-dimensional (3D) imaging of the mouse brain is necessary to appreciate the spatial context of structures within the brain. In addition, the small scale of many brain structures necessitates resolution at the ∼10 μm scale. 3D optical imaging techniques, such as optical projection tomography (OPT), have the ability to image intact large specimens (1 cm3) with ∼5 μm resolution. In this work we assessed the potential o

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Sudarman, A. Gunawan Santoso, Fatimah, Rasyid, and Leny Latifah. "Volumetric Hippocampal Magnetic Resonance Imaging and Electroenchepalogram OF Epilepsy." International Journal of Advanced Technology and Social Sciences 2, no. 2 (2024): 255–70. http://dx.doi.org/10.59890/ijatss.v2i2.1433.

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Hippocampal volumetry is a method of measuring the volume or size of hippocampal structures in the brain, can be used as a diagnostic aid and monitoring of disease progression conditions or neurological disorders as well as response to treatment. Analyze volumetric measurement of Hippocampus MRI examination Brain 3D T2 FSE with EEG study results in cases of Epilepsy. Patient data was obtained through MRI examination of Brain 3D T2 FSE to measure volumetric hippocampus. These volumetric results are compared with EEG interpretation in cases of epilepsy. Statistical analysis was performed to iden

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kotha, Apoorva, David L. Yang, Mariam Aboian, Usha D. Nagaraj, Aashim Bhatia, and Adam Ezra Goldman-Yassen. "IMG-27. ASSESSMENT OF VARIABILITY OF PEDIATRIC BRAIN TUMOR IMAGING PROTOCOLS ACROSS INSTITUTIONS: ARE WE FOLLOWING RECOMMENDATIONS?" Neuro-Oncology 26, Supplement_4 (2024): 0. http://dx.doi.org/10.1093/neuonc/noae064.364.

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Abstract BACKGROUND Evaluating pediatric brain tumors requires imaging children with tailored MRI protocols. Considerable variation in pediatric brain tumor imaging protocols exist across institutions, which can cause inaccuracies in staging. Although recently consensus guidelines for pediatric brain tumor imaging protocols have been established, adherence to these guidelines across institutions is unknown. Institutions may perceive guidelines as applicable for research purposes rather than routine clinical practice. We aim to explore variability in pediatric brain tumor imaging protocols acro

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Tobon Vasquez, Jorge A., Rosa Scapaticci, Giovanna Turvani, et al. "A Prototype Microwave System for 3D Brain Stroke Imaging." Sensors 20, no. 9 (2020): 2607. http://dx.doi.org/10.3390/s20092607.

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This work focuses on brain stroke imaging via microwave technology. In particular, the open issue of monitoring patients after stroke onset is addressed here in order to provide clinicians with a tool to control the effectiveness of administered therapies during the follow-up period. In this paper, a novel prototype is presented and characterized. The device is based on a low-complexity architecture which makes use of a minimum number of properly positioned and designed antennas placed on a helmet. It exploits a differential imaging approach and provides 3D images of the stroke. Preliminary ex

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Sati, P., DM Thomasson, N. Li, et al. "Rapid, high-resolution, whole-brain, susceptibility-based MRI of multiple sclerosis." Multiple Sclerosis Journal 20, no. 11 (2014): 1464–70. http://dx.doi.org/10.1177/1352458514525868.

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Background: Susceptibility-based MRI offers a unique opportunity to study neurological diseases such as multiple sclerosis (MS). In this work, we assessed a three-dimensional segmented echo-planar-imaging (3D-EPI) sequence to rapidly acquire high-resolution T2*-weighted and phase contrast images of the whole brain. We also assessed if these images could depict important features of MS at clinical field strength, and we tested the effect of a gadolinium-based contrast agent (GBCA) on these images. Materials and methods: The 3D-EPI acquisition was performed on four healthy volunteers and 15 MS c

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Smith, Lauren C., and Adam Kimbrough. "Leveraging Neural Networks in Preclinical Alcohol Research." Brain Sciences 10, no. 9 (2020): 578. http://dx.doi.org/10.3390/brainsci10090578.

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Alcohol use disorder is a pervasive healthcare issue with significant socioeconomic consequences. There is a plethora of neural imaging techniques available at the clinical and preclinical level, including magnetic resonance imaging and three-dimensional (3D) tissue imaging techniques. Network-based approaches can be applied to imaging data to create neural networks that model the functional and structural connectivity of the brain. These networks can be used to changes to brain-wide neural signaling caused by brain states associated with alcohol use. Neural networks can be further used to ide

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Pintucci, Armando, FNU Vincenzo, D. Addario, Vincenzo Pinto, and Luca Di Cagno. "Three-dimensional Ultrasound of the Fetal Brain." Donald School Journal of Ultrasound in Obstetrics and Gynecology 1, no. 3 (2007): 17–25. http://dx.doi.org/10.5005/jp-journals-10009-1104.

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Abstract Three-dimensional ultrasound is the most innovating and attracting modality in the field of ultrasound imaging and represents a superb tool to perform an accurate fetal neuroscan. Once the fetal brain has been scanned, it is then possible to “navigate” in the stored volume choosing among the multiple scanning planes on the three orthogonal spatial axes. Last generation 3D equipments have multiple software facilities which are extremely useful to correctly evaluate the fetal brain such as the multiplanar view, the tomographic ultrasound imaging (TUI), the volume contrast imaging in the

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Ameliya Widya Astuti, I Made Lana Prasetya, and Teguh Hariyanto. "Teknik Pemeriksaan Magnetic Resonance Imaging (MRI) Brain Dengan Penambahan Sequence Axial 3D-Fiesta Pada Kasus Facial Tic." Compromise Journal : Community Proffesional Service Journal 1, no. 4 (2023): 18–28. http://dx.doi.org/10.57213/compromisejournal.v1i4.34.

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Magnetic Resonance Imaging is a medical device that combines computer technology, strong magnetic fields and radio waves to emulate representations of human body parts and produce more detailed and clear images, one of which is Facial Tic on the Brain. The MRI Brain examination aims to see the anatomy and abnormalities in the brain. This study aims to determine the MRI Brain examination procedure and the role of the Axial 3D Fiesta sequence in cases of Facial Tic. Use of the 3D Fast Imaging Employing Steady State Acquisition (FIESTA) sequence for evaluation of the head nerves. The research met

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Liu, Sa, Jun Nie, Yusha Li, Tingting Yu, Dan Zhu, and Peng Fei. "Three-dimensional, isotropic imaging of mouse brain using multi-view deconvolution light sheet microscopy." Journal of Innovative Optical Health Sciences 10, no. 05 (2017): 1743006. http://dx.doi.org/10.1142/s1793545817430064.

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We present a three-dimensional (3D) isotropic imaging of mouse brain using light-sheet fluorescent microscopy (LSFM) in conjunction with a multi-view imaging computation. Unlike common single view LSFM is used for mouse brain imaging, the brain tissue is 3D imaged under eight views in our study, by a home-built selective plane illumination microscopy (SPIM). An output image containing complete structural information as well as significantly improved resolution ([Formula: see text]4 times) are then computed based on these eight views of data, using a bead-guided multi-view registration and deco

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Samancı, Rumeysa, Hayri Oğul, Ayşe Gökçe, Abdulkadir Kaya, and Safinaz Ataoğlu. "Investigation of incidental findings of temporomandibular joint disorders on brain magnetic resonance imaging in three-dimensional T2-weighted SPACE sequence performed for brain imaging." Turkish Journal of Physical Medicine and Rehabilitation 70, no. 1 (2024): 123–30. http://dx.doi.org/10.5606/tftrd.2024.12538.

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Objectives: The study aimed to determine the temporomandibular joint (TMJ) findings, to investigate the prevalence contribution of this sequence on cases in which cranial magnetic resonance examination was performed and three-dimensional (3D) T2-SPACE (T2-weighted sampling perfection with application-optimized contrasts using different flip-angle evolutions) sequence was used by retrospectively scanning the magnetic resonance imaging (MRI) archive of our hospital, and to reveal the advantages of the 3D-T2 SPACE sequence in patients with TMJ disorders. Patients and methods: The cross-sectional

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Mori, Koichi, Hisashi Yoshita, Syuici Tonami, et al. "Evaluation of brain MPR images using 3D-MR imaging." Japanese Journal of Radiological Technology 53, no. 7 (1997): 969. http://dx.doi.org/10.6009/jjrt.kj00001355986.

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Duijn, Jeff H., Gerald B. Matson, Andrew A. Maudsley, and Michael W. Weiner. "3D phase encoding 1H spectroscopic imaging of human brain." Magnetic Resonance Imaging 10, no. 2 (1992): 315–19. http://dx.doi.org/10.1016/0730-725x(92)90490-q.

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Li, Yao, Tianyao Wang, Tianxiao Zhang, et al. "Fast high-resolution metabolic imaging of acute stroke with 3D magnetic resonance spectroscopy." Brain 143, no. 11 (2020): 3225–33. http://dx.doi.org/10.1093/brain/awaa264.

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Abstract Impaired oxygen and cellular metabolism is a hallmark of ischaemic injury in acute stroke. Magnetic resonance spectroscopic imaging (MRSI) has long been recognized as a potentially powerful tool for non-invasive metabolic imaging. Nonetheless, long acquisition time, poor spatial resolution, and narrow coverage have limited its clinical application. Here we investigated the feasibility and potential clinical utility of rapid, high spatial resolution, near whole-brain 3D metabolic imaging based on a novel MRSI technology. In an 8-min scan, we simultaneously obtained 3D maps of N-acetyla

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Moraal, Bastiaan, Stefan D. Roosendaal, Petra J. W. Pouwels, et al. "Multi-Contrast, Isotropic, Single-Slab 3D MR Imaging in Multiple Sclerosis." Neuroradiology Journal 22, no. 1_suppl (2009): 33–42. http://dx.doi.org/10.1177/19714009090220s108.

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To describe signal and contrast properties of an isotropic, single-slab 3D dataset [double inversion-recovery (DIR), fluid-attenuated inversion recovery (FLAIR), T2, and T1-weighted magnetization prepared rapid acquisition gradient-echo (MPRAGE)] and to evaluate its performance in detecting multiple sclerosis (MS) brain lesions compared to 2D T2-weighted spin-echo (T2SE). All single-slab 3D sequences and 2D-T2SE were acquired in 16 MS patients and 9 age-matched healthy controls. Lesions were scored independently by two raters and characterized anatomically. Two-tailed Bonferroni-corrected Stud

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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 inc

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Yan, Li, Cole W. Dwiggins, Udit Gupta, and Kimberly M. Stroka. "A Rapid-Patterning 3D Vessel-on-Chip for Imaging and Quantitatively Analyzing Cell–Cell Junction Phenotypes." Bioengineering 10, no. 9 (2023): 1080. http://dx.doi.org/10.3390/bioengineering10091080.

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The blood-brain barrier (BBB) is a dynamic interface that regulates the molecular exchanges between the brain and peripheral blood. The permeability of the BBB is primarily regulated by the junction proteins on the brain endothelial cells. In vitro BBB models have shown great potential for the investigation of the mechanisms of physiological function, pathologies, and drug delivery in the brain. However, few studies have demonstrated the ability to monitor and evaluate the barrier integrity by quantitatively analyzing the junction presentation in 3D microvessels. This study aimed to fabricate

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Rijkers, Kim, Yasin Temel, Veerle Visser-Vandewalle, et al. "The microanatomical environment of the subthalamic nucleus." Journal of Neurosurgery 107, no. 1 (2007): 198–201. http://dx.doi.org/10.3171/jns-07/07/0198.

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✓High-frequency stimulation of the subthalamic nucleus (STN) is a widely performed method to treat advanced Parkinson disease. Due to the limitations of current imaging techniques, the 3D microanatomy of the STN and its surrounding structures in the mesencephalon are not well known. Using images they obtained using a 9.4-tesla magnetic resonance (MR) imaging unit, the authors developed a 3D reconstruction of the STN and its immediate surroundings. During the postmortem investigation of a human brain, a sample of tissue in the area around the STN was isolated. This brain tissue was scanned in t

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Wang, Lulu. "Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke." Sensors 18, no. 11 (2018): 3852. http://dx.doi.org/10.3390/s18113852.

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The authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if the two inclusions were located at the same XY plane but in different Z-directions. This paper provides a theoretical framework of three-dimensional (3D) HEI to accurately and effectively detect inclusions embedded in a biological object. A numerical system, including a realistic head phantom, a 16-

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Sadahiro, Hirokazu, Hisaharu Goto, Sadahiro Nomura, and Michiyasu Suzuki. "STMO-02 PREOPERATIVE FENCE-POST METHOD PLANNING WITH 3D-FUSION IMAGING." Neuro-Oncology Advances 1, Supplement_2 (2019): ii18. http://dx.doi.org/10.1093/noajnl/vdz039.082.

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Abstract The fence-post method has been used for removal of intra-axial tumors. Preoperative detailed planning with only navigation work system is sometimes difficult to identify actual brain surface, small feeding artery and passing artery. Recently, 3-dementional imaging is well developed to integrate various anatomical findings. The purpose of this study is pursuit of perfect preoperative planning for removal intra-axial tumors with 3D-fusion imaging. From May 2017 to June 2019, 21 patients with intra-axial tumor were included. The software “AZE” was used to create 3D-fusion imaging. The br

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Kaufmann, Timothy J., Marion Smits, Jerrold Boxerman, et al. "Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases." Neuro-Oncology 22, no. 6 (2020): 757–72. http://dx.doi.org/10.1093/neuonc/noaa030.

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Abstract A recent meeting was held on March 22, 2019, among the FDA, clinical scientists, pharmaceutical and biotech companies, clinical trials cooperative groups, and patient advocacy groups to discuss challenges and potential solutions for increasing development of therapeutics for central nervous system metastases. A key issue identified at this meeting was the need for consistent tumor measurement for reliable tumor response assessment, including the first step of standardized image acquisition with an MRI protocol that could be implemented in multicenter studies aimed at testing new thera

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Castro-Silva, Juan A., María N. Moreno-García, and Diego H. Peluffo-Ordóñez. "Multiple Inputs and Mixed Data for Alzheimer’s Disease Classification Based on 3D Vision Transformer." Mathematics 12, no. 17 (2024): 2720. http://dx.doi.org/10.3390/math12172720.

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The current methods for diagnosing Alzheimer’s Disease using Magnetic Resonance Imaging (MRI) have significant limitations. Many previous studies used 2D Transformers to analyze individual brain slices independently, potentially losing critical 3D contextual information. Region of interest-based models often focus on only a few brain regions despite Alzheimer’s affecting multiple areas. Additionally, most classification models rely on a single test, whereas diagnosing Alzheimer’s requires a multifaceted approach integrating diverse data sources for a more accurate assessment. This study introd

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Cavallaro, Marco, Alessandra Coglitore, Agostino Tessitore, et al. "Three-Dimensional Constructive Interference in Steady State (3D CISS) Imaging and Clinical Applications in Brain Pathology." Biomedicines 10, no. 11 (2022): 2997. http://dx.doi.org/10.3390/biomedicines10112997.

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Three-dimensional constructive interference in steady state (3D CISS) is a steady-state gradient-echo sequence in magnetic resonance imaging (MRI) that has been used in an increasing number of applications in the study of brain disease in recent years. Owing to the very high spatial resolution, the strong hyperintensity of the cerebrospinal fluid signal and the high contrast-to-noise ratio, 3D CISS can be employed in a wide range of scenarios, ranging from the traditional study of cranial nerves, the ventricular system, the subarachnoid cisterns and related pathology to more recently discussed

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Shen, Guofang, Kayla Sanchez, Shirley Hu, Zhen Zhao, Lubo Zhang, and Qingyi Ma. "3D doppler ultrasound imaging of cerebral blood flow for assessment of neonatal hypoxic-ischemic brain injury in mice." PLOS ONE 18, no. 5 (2023): e0285434. http://dx.doi.org/10.1371/journal.pone.0285434.

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Cerebral blood flow (CBF) acutely reduces in neonatal hypoxic-ischemic encephalopathy (HIE). Clinic studies have reported that severe CBF impairment can predict HIE outcomes in neonates. Herein, the present study uses a non-invasive 3D ultrasound imaging approach to evaluate the changes of CBF after HI insult, and explores the correlation between CBF alterations and HI-induced brain infarct in mouse pups. The neonatal HI brain injury was induced in postnatal day 7 mouse pups using the Rice-Vannucci model. Non-invasive 3D ultrasound imaging was conducted to image CBF changes with multiple frequ

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Riyazudeen, K. A. Mohamed, and Mohamed Sathik. "Converting 2D magnetic resource imagining brain tumors to 3D structure using depth map machine learning techniques." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 513. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp513-520.

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<span>The use <span>of medical imaging technology aids clinicians in recognizing and assessing patient problems, as well as improving treatment procedures. However, while conducting complex procedures such as the excision of brain tumors, the knowledge and biological research gathered from 2D images are insufficient. Converting 2D images to 3D images may assist doctors in determining the size, shape, and sharp area of tumor cells in the brain. The feasibility of translating 2D medical image data to a 3D model is described in this work. A suggested framework for predicting the size,

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E, Ashalatha M., Mallikarjun S. Holi, Shubha V. Patel, and Deepashri K. M. "Segmentation of Brain Tumor using Multiple Threshold Technique." International Journal of Health Technology and Innovation 2, no. 01 (2023): 23–26. http://dx.doi.org/10.60142/ijhti.v2i01.79.

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Radiology use medical imaging techniques to comprehend the structure and physiological functions of the body in bothhealthy and diseased subjects. A non-invasive method for viewing internal body structures can be performed by using magneticresonance imaging (MRI). MRI characterizes soft tissue more accurately than other imaging methods like CT. In the currentstudy, space-occupying lesions are visualized using MRI imaging. Slices of MRI data are used to analyze lesions. Single sliceanalysis is inappropriate to determine the lesion’s size and volume. Hence, the MRI sequence is used to segment th

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Hadjidekov, George, Gleb Haynatzki, Petya Chaveeva, Miroslav Nikolov, Gabriele Masselli, and Andrea Rossi. "Concordance between US and MRI Two-Dimensional Measurement and Volumetric Segmentation in Fetal Ventriculomegaly." Diagnostics 13, no. 6 (2023): 1183. http://dx.doi.org/10.3390/diagnostics13061183.

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We provide a study comparison between two-dimensional measurement and volumetric (3D) segmentation of the lateral ventricles and brain structures in fetuses with isolated and non-isolated ventriculomegaly with 3D virtual organ computer-aided analysis (VOCAL) ultrasonography vs. magnetic resonance imaging (MRI) analyzed with 3D-Slicer software. In this cross-sectional study, 40 fetuses between 20 and 38 gestational weeks with various degrees of ventriculomegaly were included. A total of 71 ventricles were measured with ultrasound (US) and with MRI. A total of 64 sonographic ventricular volumes,

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Pahlivi, Riza, Bagus Abimanyu, and Marichatul Jannah. "Meningioma Detection and Characterization Using Brain MR Imaging: A Case Study." Jurnal Riset Kesehatan 13, no. 1 (2024): 1–6. http://dx.doi.org/10.31983/jrk.v13i1.11544.

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Meningiomas commonly manifest as granulations, dense clusters exhibiting hyperintense signals on the meningeal layers and close to cranial nerves. Detailed and isotropic imaging are key in the diagnostic evaluation. Nevertheless, standard MRI sequences have been inadequate in capturing these granulations, incorporating the T2 3D CISS axial sequence for improved visualization. Our case study aims to meticulously evaluate the diagnostic imaging strategies used for meningioma cases, explicitly focusing on cranial nerve imaging. The MRI protocol encompassed axial, coronal, and sagittal T2_TSE and

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Sangeetha, S. K. B., V. Muthukumaran, K. Deeba, Hariharan Rajadurai, V. Maheshwari, and Gemmachis Teshite Dalu. "Multiconvolutional Transfer Learning for 3D Brain Tumor Magnetic Resonance Images." Computational Intelligence and Neuroscience 2022 (August 23, 2022): 1–9. http://dx.doi.org/10.1155/2022/8722476.

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The difficulty or cost of obtaining data or labels in applications like medical imaging has progressed less quickly. If deep learning techniques can be implemented reliably, automated workflows and more sophisticated analysis may be possible in previously unexplored areas of medical imaging. In addition, numerous characteristics of medical images, such as their high resolution, three-dimensional nature, and anatomical detail across multiple size scales, can increase the complexity of their analysis. This study employs multiconvolutional transfer learning (MCTL) for applying deep learning to sm

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SANCHEZ, DANMARY, MALEK ADJOUADI, NOLAN R. ALTMAN, DANIEL SANCHEZ, and BYRON BERNAL. "COMPREHENSIVE 3D FIBER TRACKING AS A NEW VISUALIZATION SYSTEM IN BRAIN STUDIES." International Journal of Image and Graphics 07, no. 04 (2007): 749–65. http://dx.doi.org/10.1142/s0219467807002891.

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Comprehensive spatial visualization of fiber tracts from all perspectives is a highly desirable outcome in brain studies. To achieve this aim, this study establishes the foundation for a new 3D visual interface that integrates Magnetic Resonance Imaging (MRI) to Diffusion Tensor Imaging (DTI). The need for such an interface is critical for understanding brain dynamics, and for providing accurate diagnosis of key brain dysfunctions, in terms of neuronal connectivity in the human brain. Two research fronts were explored: (1) the development of new image processing techniques resulting in compreh

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Boitor-Borza, Dan, Tunde Kovacs, and Florin Stamatian. "Transvaginal Three-dimensional Sonographic Assessment of the Embryonic Brain: A Pilot Study." Medicine and Pharmacy Reports 88, no. 2 (2015): 152–58. http://dx.doi.org/10.15386/cjmed-437.

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Aims. A very good knowledge of human embryology is mandatory not only for the correct sonographic assessment of the developing brain, but also for better understanding the origins of congenital anomalies involving the central nervous system. 3D transvaginal sonography may be an effective technique for imaging the developing brain. The aims of this explorative study are to demonstrate the feasibility of imaging the embryonic brain between 7 and 10 weeks of gestation for clinical studies by using a 3D high-frequency vaginal ultrasound transducer and to provide a reference for the morphology of t

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Song, Pengfei. "Small animal cerebral microvascular imaging with super-resolution ultrasound: Techniques and applications." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A28. http://dx.doi.org/10.1121/10.0018035.

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Super-resolution ultrasound (SR-US) is an emerging microvascular imaging technology that provides a micron-scale spatial resolution with tens of millimeters of depth of imaging penetration. The unmatched combination of high spatial resolution and deep imaging penetration opened new doors for many brain imaging applications that benefit from cerebrovascular biomarkers. Recently, SR-US has found its niche in small animal brain applications thanks to its unique capabilities of extending the optical-imaging-level spatial resolution to subcortical, deep brain regions. In this presentation, I will f

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Madan, Christopher R. "Creating 3D visualizations of MRI data: A brief guide." F1000Research 4 (August 4, 2015): 466. http://dx.doi.org/10.12688/f1000research.6838.1.

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While magnetic resonance imaging (MRI) data is itself 3D, it is often difficult to adequately present the results papers and slides in 3D. As a result, findings of MRI studies are often presented in 2D instead. A solution is to create figures that include perspective and can convey 3D information; such figures can sometimes be produced by standard functional magnetic resonance imaging (fMRI) analysis packages and related specialty programs. However, many options cannot provide functionality such as visualizing activation clusters that are both cortical and subcortical (i.e., a 3D glass brain),

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Nikolov, Nikolay, Sergiy Makeyev, Olga Korostynska, Tetyana Novikova, and Yelizaveta Kriukova. "Gaussian Filter for Brain SPECT Imaging." Innovative Biosystems and Bioengineering 6, no. 1 (2022): 4–15. http://dx.doi.org/10.20535/ibb.2022.6.1.128475.

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Background. The presence of a noise component on 3D images of single-photon emission computed tomography (SPECT) of a brain significantly distorts the probability distribution function (PD) of the radioactive count rate in the images. The presence of noise and further filtering of the data, based on a subjective assessment of image quality, have a significant impact on the calculation of volumetric cerebral blood flow and the values of the uptake asymmetry of the radiopharmaceutical in a brain. Objective. We are aimed to develop a method for optimal SPECT filtering of brain images with lipoph

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Turcotte, Raphaël, Yajie Liang, Masashi Tanimoto, et al. "Dynamic super-resolution structured illumination imaging in the living brain." Proceedings of the National Academy of Sciences 116, no. 19 (2019): 9586–91. http://dx.doi.org/10.1073/pnas.1819965116.

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Cells in the brain act as components of extended networks. Therefore, to understand neurobiological processes in a physiological context, it is essential to study them in vivo. Super-resolution microscopy has spatial resolution beyond the diffraction limit, thus promising to provide structural and functional insights that are not accessible with conventional microscopy. However, to apply it to in vivo brain imaging, we must address the challenges of 3D imaging in an optically heterogeneous tissue that is constantly in motion. We optimized image acquisition and reconstruction to combat sample m

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