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Relevant bibliographies by topics / Diffusion Weighted Imaging

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Academic literature on the topic 'Diffusion Weighted Imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Diffusion Weighted Imaging"

1

Zimmerman, Robert A. "Diffusion-weighted imaging." Critical Reviews in Neurosurgery 7, no. 4 (1997): 221–27. http://dx.doi.org/10.1007/s003290050028.

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Attenberger, Ulrike I., Val M. Runge, Alto Stemmer, et al. "Diffusion Weighted Imaging." Investigative Radiology 44, no. 10 (2009): 656–61. http://dx.doi.org/10.1097/rli.0b013e3181af3f0e.

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Ramsing, B., and P. Corr. "Diffusion weighted MR imaging." South African Journal of Radiology 3, no. 3 (1998): 4–6. http://dx.doi.org/10.4102/sajr.v3i3.1570.

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Diffusion weighted imaging (DWI) allows the measurement of molecular motion in tissue. This technique has significant clinical applications. Recent technological developments in fast MR imaging have brought diffusion imaging into clinical practice. This review will explain the physical principles, and current and future potential applications of diffusion imaging in medicine.

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Ramadan, Saadallah. "Diffusion-Exchange Weighted Imaging." Magnetic Resonance Insights 3 (January 2009): MRI.S3504. http://dx.doi.org/10.4137/mri.s3504.

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A method has been developed whereby diffusion and exchange in micro cellular structures in the human brain are correlated to produce a new type of image contrast leading to determination of water exchange rates in vivo. The diffusion method relies on differential apparent diffusion coefficients as detectable nuclei exchange between adjacent compartments marked with different apparent diffusion coefficient values (e.g. intra- and extra-cellular compartments). A new pulse sequence was developed, and used to calculate water intra/extra mean residence times in brain, and the signal dependence on v

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Maurer, Martin H., Kirsi Hannele Härmä, and Harriet Thoeny. "Diffusion-Weighted Genitourinary Imaging." Radiologic Clinics of North America 55, no. 2 (2017): 393–411. http://dx.doi.org/10.1016/j.rcl.2016.10.014.

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Maurer, Martin H., Kirsi Hannele Härmä, and Harriet Thoeny. "Diffusion-Weighted Genitourinary Imaging." Urologic Clinics of North America 45, no. 3 (2018): 407–25. http://dx.doi.org/10.1016/j.ucl.2018.03.003.

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Deike-Hofmann, K., T. Kuder, F. König, et al. "Diffusion-weighted breast imaging." Der Radiologe 58, S1 (2018): 14–19. http://dx.doi.org/10.1007/s00117-018-0423-3.

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Salmenpera, Tuuli M., Mark R. Symms, Philip A. Boulby, Gareth J. Barker, and John S. Duncan. "Postictal diffusion weighted imaging." Epilepsy Research 70, no. 2-3 (2006): 133–43. http://dx.doi.org/10.1016/j.eplepsyres.2006.03.010.

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Zhou, Shi-Bo, Xiu-Ming Zhang, Yang Gao, Bo Yang, and Wen-Rong Shen. "Diffusion-weighted imaging volume and diffusion-weighted imaging volume growth in acute stroke." NeuroReport 30, no. 13 (2019): 875–81. http://dx.doi.org/10.1097/wnr.0000000000001291.

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Goyal, Mayank, Aravind Ganesh, Michael Tymianski, Michael D. Hill, and Johanna Maria Ospel. "Iatrogenic Diffusion-Weighted Imaging Lesions." Stroke 52, no. 5 (2021): 1929–36. http://dx.doi.org/10.1161/strokeaha.120.033984.

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Infarct volume in acute ischemic stroke is closely linked with clinical outcome, with larger infarct volumes being associated with a worse prognosis. Small iatrogenic infarcts, which can occur as a result of surgical or endovascular procedures, are often only seen on diffusion-weighted MR imaging. They often do not lead to any overtly appreciable clinical deficits, hence the term covert or silent infarcts. There is relative paucity of data on the clinical impact of periprocedural hyperintense diffusion-weighted MR imaging lesions, partly because they commonly remain undiagnosed. Clearly, a bet

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Dissertations / Theses on the topic "Diffusion Weighted Imaging"

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Shimizu, Hironori. "Comparison of acquired diffusion weighted imaging and computed diffusion weighted imaging for detection of hepatic metastases." Kyoto University, 2015. http://hdl.handle.net/2433/200435.

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Williams, Catherine F. M. "Diffusion-weighted magnetic resonance imaging techniques." Thesis, University of Aberdeen, 1998. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU602003.

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The aim of this project was to compare and evaluate other, non-EPI, diffusion-weighted MRI (DWI) sequences, through imaging experiments, on a phantom and in vivo, (using a 0.95 T system) and computer simulations, and to develop improved DWI methodology which could be implemented on standard hardware. Pulsed gradient spin echo (PGSE) and diffusion-weighted STEAM are slow multiple shot sequences, with measurement times of several minutes. Both sequences are highly sensitive to patient motion, but motion artifact was virtually eliminated using navigator echo phase correction and EGG triggering wh

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McNab, Jennifer A. "High Resolution Diffusion-Weighted Magnetic Resonance Imaging." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504436.

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Sahalan, Mariaulpa. "Diffusion-weighted Imaging of Lymph Node Tissue." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20070.

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Purpose: The study investigates the hypothesis of clinically observed decreased apparent diffusion coefficient (ADC) of cancerous lymph nodes can be attributed to increased cellularity. The study characterises the mean diffusivity (MD) of lymph node sub-structures and investigates correlation between MD and cellularity metrics. The study also investigates the theoretical information content of single and multi-biophysical models. Methods:. A 3 mm diameter core sample was extracted from a formalin fixed lymph node tissue post-surgery and imaged using 9.4T and 16.4T Bruker MRI system. Samples

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Young, Victoria Eleanor Louise. "Enhancement of carotid magnetic resonance imaging with diffusion weighted imaging." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648278.

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Omar, Nur Farhayu. "Diffusion weighted imaging and relaxometry in abdominal organs." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/35939/.

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This thesis presents the application of diffusion weighted imaging (DWI) and relaxometry MRI studies in three organs in the abdomen, the kidney, colon and liver. These methods are first applied at 1.5 Tesla in healthy volunteers and patients with Cardiorenal Syndrome (CRS), a clinical condition in which cardiac and renal dysfunctions (RD) coexist. Diffusion parameters are determined using the mono-exponential ADC, bi-exponential IVIM, stretched-exponential and Kurtosis models, as well as diffusion tensor imaging (DTI) in order to assess pathophysiology and structural changes in the kidney. Com

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Godley, Keith. "Focused diffusion-weighted imaging in prostate cancer (FODIP)." Thesis, University of East Anglia, 2017. https://ueaeprints.uea.ac.uk/67777/.

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Background: MRI of the prostate is used to detect and localise prostate cancer and diffusion weighted imaging (DWI) is a routine sequence. The purpose of the study was to determine the diagnostic accuracy of high b-value DWI through meta-analyses. Additionally, the aim was to determine the diagnostic accuracy of a novel combined small field-of-view (FOV) and high b-value DWI sequence for detecting and localising prostate cancer. Material and Methods: Meta-analyses of diagnostic test accuracy of high b-value DWI, and T2WI and DWI combined, were performed conforming to the PRISMA statement. A pr

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Frost, Stephen Robert. "Diffusion-weighted magnetic resonance imaging with readout-segmented echo-planar imaging." Thesis, University of Oxford, 2012. https://ora.ox.ac.uk/objects/uuid:94421cdc-6bcb-49c2-b9d9-64e016b875f8.

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Diffusion-weighted (DW) magnetic resonance imaging is an important neuroimaging technique that has successful applications in diagnosis of ischemic stroke and methods based on diffusion tensor imaging (DTI). Tensor measures have been used for detecting changes in tissue microstructure and for non-invasively tracing white matter connections in vivo. The most common image acquistion strategy is to use a DW single-shot echo-planar imaging (ss-EPI) pulse sequence, which is attractive due to its robustness to motion artefacts and high imaging speed. However, this sequence has limited achievable spa

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Mosavi, Firas. "Whole-Body MRI including Diffusion-Weighted Imaging in Oncology." Doctoral thesis, Uppsala universitet, Enheten för radiologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209777.

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Cancer is one of the major causes of worldwide mortality. Imaging plays a vital role in the staging, follow-up, and evaluation of therapeutic response in cancer patients. Whole-body (WB) magnetic resonance imaging (MRI), as a non-ionizing imaging technique, is a promising procedure to assess tumor spreading in a single examination. New MRI technological developments now enable the application of diffusion-weighted imaging (DWI) of the entire body. DWI reflects the random motion of water molecules and provides functional information of body tissues. DWI can be quantified with the use of the app

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Nunes, Rita G. "Development of diffusion-weighted imaging at high magnetic field." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424867.

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Books on the topic "Diffusion Weighted Imaging"

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Koh, D. M., and H. C. Thoeny, eds. Diffusion-Weighted MR Imaging. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-78576-7.

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Matos, Celso, and Nickolas Papanikolaou, eds. Diffusion Weighted Imaging of the Hepatobiliary System. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-62977-3.

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Gourtsoyianni, Sofia, and Nikolaos Papanikolaou, eds. Diffusion Weighted Imaging of the Gastrointestinal Tract. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92819-7.

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Akata, Deniz, and Nikolaos Papanikolaou, eds. Diffusion Weighted Imaging of the Genitourinary System. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69575-4.

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Moritani, Toshio, Sven Ekholm, and Per-Lennart Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78785-3.

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Moritani, Toshio, and Aristides A. Capizzano, eds. Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62120-9.

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7

Castillo, Mauricio, and Claudia da Costa Leite. Diffusion Weighted and Diffusion Tensor Imaging: A Clinical Guide. Thieme Medical Publishers, Incorporated, 2016.

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Diffusion-Weighted MR Imaging of the Brain. Springer-Verlag, 2005. http://dx.doi.org/10.1007/b137507.

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Moritani, Toshio, Sven Ekholm, and Per-Lennart A. Westesson. Diffusion-Weighted MR Imaging of the Brain. Springer London, Limited, 2009.

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P. -L Westesson,T. Moritani,S. Ekholm. Diffusion-Weighted MR Imaging of the Brain. Springer, 2008.

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Book chapters on the topic "Diffusion Weighted Imaging"

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Ratneswaren, Tarini, and Tomasz Matys. "Diffusion-Weighted Imaging." In Neuroimaging Techniques in Clinical Practice. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48419-4_13.

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Roth, Elliot J. "Diffusion-Weighted Imaging." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_2174.

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Roth, Elliot J. "Diffusion-Weighted Imaging." In Encyclopedia of Clinical Neuropsychology. Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_2174.

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Roth, Elliot. "Diffusion-Weighted Imaging." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56782-2_2174-2.

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Akin, Oguz, and Yousef Mazaheri. "Diffusion-Weighted Imaging." In Prostate MRI Essentials. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45935-2_5.

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Polzehl, Jörg, and Karsten Tabelow. "Diffusion-Weighted Imaging." In Use R! Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29184-6_5.

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Polzehl, Jörg, and Karsten Tabelow. "Diffusion-Weighted Imaging." In Use R! Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38949-8_5.

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Padhani, Anwar R., and Shilpan M. Patel. "Diffusion-Weighted Imaging." In Clinical MRI of the Abdomen. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85689-4_29.

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Runge, Val M., and Johannes T. Heverhagen. "Diffusion-Weighted Imaging." In The Physics of Clinical MR Taught Through Images. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85413-3_66.

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Raab, Peter, and Heinrich Lanfermann. "Diffusion-Weighted Methods." In Brain Tumor Imaging. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/174_2015_1052.

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Conference papers on the topic "Diffusion Weighted Imaging"

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Wu, Yinzhe, Jiahao Huang, Fanwen Wang, et al. "Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference?" In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980956.

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Seth, Jyoti, Savitha R, and Ashwini Kumar. "Validation of High Angular Resolution Diffusion-Weighted Imaging Protocols." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724946.

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Babu R, Dushyanth V., Praveen Kumar Thakur, and Shiv Shankar Shankar. "Novel Signal Processing Techniques for High Angular Resolution Diffusion-Weighted Imaging." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724151.

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Su, Michelle, Cemre Ariyurek, Serge Vasylechko, Onur Afacan, and Sila Kurugol. "Optimizing Respiratory Phase Binning for Improved Motion Correction in Abdominal Diffusion-Weighted MRI." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981053.

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Ghorbani, Reza, Jyothi Rikhab Chand, Chu-Yu Lee, Mathews Jacob, and Merry Mani. "Three-Dimensional Diffusion-Weighted Multi-Slab MRI with Slice Profile Compensation Using Deep Energy Model." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981200.

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Liu, Zhexing, Yi Wang, Guido Gerig, et al. "Quality control of diffusion weighted images." In SPIE Medical Imaging, edited by Brent J. Liu and William W. Boonn. SPIE, 2010. http://dx.doi.org/10.1117/12.844748.

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Zhukov, Leonid, Ken Museth, David E. Breen, and Ross T. Whitaker. "3D modeling and segmentation of diffusion weighted MRI data." In Medical Imaging 2001, edited by Seong K. Mun. SPIE, 2001. http://dx.doi.org/10.1117/12.428081.

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Ye, Jong C., Kevin J. Webb, Thomas J. Downar, and Rick P. Millane. "Weighted cost-function reconstruction in optical diffusion imaging." In Optical Science, Engineering and Instrumentation '97, edited by Randall L. Barbour, Mark J. Carvlin, and Michael A. Fiddy. SPIE, 1997. http://dx.doi.org/10.1117/12.284714.

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Li, Enzhong, Jie Tian, Ying Han, Huifang Wang, Wu Li, and Huiguang He. "Technique of diffusion weighted imaging and its application in stroke." In Medical Imaging 2003, edited by Anne V. Clough and Amir A. Amini. SPIE, 2003. http://dx.doi.org/10.1117/12.480276.

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Li, Wu, and Jie Tian. "Automatic segmentation of brain infarction in diffusion-weighted MR images." In Medical Imaging 2003, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2003. http://dx.doi.org/10.1117/12.481350.

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Reports on the topic "Diffusion Weighted Imaging"

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MR (Diffusion-Weighted Imaging (DWI) of the Apparent Diffusion Coefficient (ADC), Clinically Feasible Profile. Chair Michael Boss, Dariya Malyarenko, and Daniel Margolis. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2022. http://dx.doi.org/10.1148/qiba/20221215.

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The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance and is derived from the body of scientific literature meeting specific requirements, in particular test-retest studies. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed to ensure acceptable performance. Diffusion-Weighted

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Gareau, Paul, and Brian K. Rutt. Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada390993.

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Bodanapally, Uttam, Andrew Choi, and Robert Shin. Diffusion-Weighted Imaging of Traumatic Optic Neuropathy: Diagnosis and Predicting the Prognosis. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada601984.

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Zhang, Subo, Jinxin Wan, Yongjun Xu, et al. Predictive value of multiparametric magnetic resonance imaging (T2-weighted imaging and apparent diffusion coefficient) for pathological grading of prostate cancer: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.2.0044.

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Thomas, Michael A. A Novel Multivoxel-Based Quantitation of Metabolites and Lipids Noninvasively Combined with Diffusion-Weighted Imaging in Breast Cancer. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada570966.

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Thomas, Michael A. A Novel Multivoxel-Based Quantitation of Metabolites and Lipids Noninvasively Combined with Diffusion-Weighted Imaging in Breast Cancer. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada601642.

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Tan, Yuqi, Zheng Ye, Xinyang Lv, et al. Diagnostic Performance of Simultaneous Multislice Diffusion-Weighted Imaging in Differentiating Breast Lesions: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.4.0082.

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Thomas, Michael A. A Novel Multi-voxel Based Quantitation of Metabolites and Lipids Non-invasively Combined with Diffusion Weighted Imaging in Breast Cancer. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555478.

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