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Journal articles on the topic 'Diffusion Weighted Imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Yamada, Kei. "Advances in Diffusion-Weighted Imaging." Magnetic Resonance Imaging Clinics of North America 29, no. 2 (2021): xiii. http://dx.doi.org/10.1016/j.mric.2021.03.001.

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12

Chan, Roxanne, Sami Erbay, Stephen Oljeski, David Thaler, and Rafeeque Bhadelia. "Hypoglycemia and Diffusion-Weighted Imaging." Journal of Computer Assisted Tomography 27, no. 3 (2003): 420–23. http://dx.doi.org/10.1097/00004728-200305000-00020.

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13

Mannelli, Lorenzo, Stephanie Nougaret, Hebert A. Vargas, and Richard K. G. Do. "Advances in Diffusion-Weighted Imaging." Radiologic Clinics of North America 53, no. 3 (2015): 569–81. http://dx.doi.org/10.1016/j.rcl.2015.01.002.

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14

Rodrigues, Katyucia, and P. Ellen Grant. "Diffusion-Weighted Imaging in Neonates." Neuroimaging Clinics of North America 21, no. 1 (2011): 127–51. http://dx.doi.org/10.1016/j.nic.2011.01.012.

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15

Takahashi, Mitsuyuki, Akio Ogura, Masanori Ozaki, et al. "Distortion in Diffusion Weighted Imaging." Japanese Journal of Radiological Technology 65, no. 11 (2009): 1494–501. http://dx.doi.org/10.6009/jjrt.65.1494.

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16

Mukherji, Suresh K., Thomas L. Chenevert, and Mauricio Castillo. "Diffusion-Weighted Magnetic Resonance Imaging." Journal of Neuro-Ophthalmology 22, no. 2 (2002): 118–22. http://dx.doi.org/10.1097/00041327-200206000-00013.

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17

Herneth, Andreas M., Helmut Ringl, Mazda Memarsadeghi, et al. "Diffusion Weighted Imaging in Osteoradiology." Topics in Magnetic Resonance Imaging 18, no. 3 (2007): 203–12. http://dx.doi.org/10.1097/rmr.0b013e3180cac61d.

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18

Dreher, Constantin, Tristan Anselm Kuder, Franziska König, et al. "Advanced Diffusion-Weighted Abdominal Imaging." Investigative Radiology 55, no. 5 (2020): 285–92. http://dx.doi.org/10.1097/rli.0000000000000639.

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19

Helpern, J. A., and N. Huang. "Diffusion-weighted imaging in epilepsy." Magnetic Resonance Imaging 13, no. 8 (1995): 1227–31. http://dx.doi.org/10.1016/0730-725x(95)02036-s.

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20

Herneth, A. M., M. Mayerhoefer, R. Schernthaner, A. Ba-Ssalamah, Ch Czerny, and J. Fruehwald-Pallamar. "Diffusion weighted imaging: Lymph nodes." European Journal of Radiology 76, no. 3 (2010): 398–406. http://dx.doi.org/10.1016/j.ejrad.2010.08.016.

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21

Bydder, G. M., M. A. Rutherford, and F. M. Cowan. "Diffusion-weighted imaging in neonates." Child's Nervous System 17, no. 4-5 (2001): 190–94. http://dx.doi.org/10.1007/s003810000280.

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22

Flook, E., S. Izzat, and A. Ismail. "Cholesteatoma imaging using modified echo-planar diffusion-weighted magnetic resonance imaging." Journal of Laryngology & Otology 125, no. 1 (2010): 10–12. http://dx.doi.org/10.1017/s0022215110001805.

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AbstractIntroduction:Imaging of cholesteatomas can be useful especially in cases of recurrent disease. Computed tomography scans have been recommended before primary surgery, but cholesteatoma tissue looks similar to inflammatory tissue. Diffusion-weighted magnetic resonance imaging is both sensitive and specific in detecting cholesteatoma, which appears as a bright signal on a dark background. Non-echo-planar diffusion-weighted magnetic resonance imaging is superior to routine echo-planar diffusion-weighted magnetic resonance imaging as it minimises susceptibility artefacts; however, the addi

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23

Hall, Matt G., and Thomas R. Barrick. "From diffusion-weighted MRI to anomalous diffusion imaging." Magnetic Resonance in Medicine 59, no. 3 (2008): 447–55. http://dx.doi.org/10.1002/mrm.21453.

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24

Doshi, J., M. Jindal, S. Chavda, R. Irving, and R. De. "Diffusion-weighted magnetic resonance imaging: its uses in otolaryngology." Journal of Laryngology & Otology 123, no. 11 (2009): 1199–203. http://dx.doi.org/10.1017/s0022215109990466.

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AbstractOver recent years, there has been an increase in otolaryngology publications concerning diffusion-weighted magnetic resonance imaging. The aims of this review paper are to summarise the basic principles of diffusion-weighted magnetic resonance imaging, and to provide an overview of current otolaryngological applications and areas of research. Diffusion-weighted magnetic resonance imaging is a radiological technique which has shown promising results in various areas of otolaryngology. However, studies of diffusion-weighted magnetic resonance imaging are difficult to compare, as differen

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25

Lv, Jinchun, and Jia Zhao. "Diffusion-Weighted Imaging Combined with Cervical Vascular Ultrasound in the Elderly Patients with Multiple Cerebral Infarction." Disease Markers 2022 (March 31, 2022): 1–5. http://dx.doi.org/10.1155/2022/6461041.

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Objective. This study is aimed at evaluating the diagnostic value of diffusion-weighted imaging combined with cervical vascular ultrasound in the elderly patients with multiple cerebral infarctions and at demonstrating whether the diagnostic value is affected by the history of diabetes. Methods. From January 2020 to November 2021, the case data of 30 elderly patients with multiple cerebral infarction diagnosed in our hospital were included. Diffusion-weighted magnetic resonance imaging (DWI) and cervical vascular ultrasound (CAU) were performed, respectively. The diagnosis rates of the simple

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26

Federau, Christian, Soren Christensen, Michael Mlynash, et al. "Comparison of stroke volume evolution on diffusion-weighted imaging and fluid-attenuated inversion recovery following endovascular thrombectomy." International Journal of Stroke 12, no. 5 (2016): 510–18. http://dx.doi.org/10.1177/1747493016677985.

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Background To compare the evolution of the infarct lesion volume on both diffusion-weighted imaging and fluid-attenuated inversion recovery in the first five days after endovascular thrombectomy. Methods We included 109 patients from the CRISP and DEFUSE 2 studies. Stroke lesion volumes obtained on diffusion-weighted imaging and fluid-attenuated inversion recovery images both early post-procedure (median 18 h after symptom onset) and day 5, were compared using median, interquartile range, and correlation plots. Patients were dichotomized based on the time after symptom onset of their post proc

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27

Kalekar, Tushar, Radhika Jaipuria, Ayesha Hadi, Rajesh Kuber, and Pooja Karanjule. "DIFFUSION WEIGHTED IMAGING IN WILSON’S DISEASE." MNJ (Malang Neurology Journal) 10, no. 1 (2024): 1–4. http://dx.doi.org/10.21776/ub.mnj.2024.010.01.1.

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Background: Wilson’s disease is a disorder affecting metabolism of Copper resulting in its accumulation in various organs and thereby various manifestations. Neurologic involvement in Wilson’s disease is well diagnosed using Magnetic Resonance Imaging (MRI). Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) sequences aid to the diagnosis of Wilson’s disease. Objective: To assess the role of Diffusion-Weighted Imaging (DWI) in Wilson's disease and investigate its application in the clinical course of the disease and to study its demographic distribution. Methods: A prosp

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28

Huang, Tzu-Hsin, Ming-Chi Lai, Yu-Shiue Chen, and Chin-Wei Huang. "Brain Imaging in Epilepsy-Focus on Diffusion-Weighted Imaging." Diagnostics 12, no. 11 (2022): 2602. http://dx.doi.org/10.3390/diagnostics12112602.

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Epilepsy is a common neurological disorder; 1% of people worldwide have epilepsy. Differentiating epileptic seizures from other acute neurological disorders in a clinical setting can be challenging. Approximately one-third of patients have drug-resistant epilepsy that is not well controlled by current antiepileptic drug therapy. Surgical treatment is potentially curative if the epileptogenic focus is accurately localized. Diffusion-weighted imaging (DWI) is an advanced magnetic resonance imaging technique that is sensitive to the diffusion of water molecules and provides additional information

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29

ANDICA, CHRISTINA, ASAMI SAITO, SYO MURATA, et al. "Diffusion Magnetic Resonance Imaging: From Isotropic Diffusion-Weighted Imaging to Diffusion Tensor Imaging and Beyond." Juntendo Medical Journal 63, no. 4 (2017): 285–92. http://dx.doi.org/10.14789/jmj.63.285.

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30

Takeuchi, Mayumi, Kenji Matsuzaki, Yoshimi Bando, and Masafumi Harada. "Reduced field-of-view diffusion-weighted MR imaging for assessing the local extent of uterine cervical cancer." Acta Radiologica 61, no. 2 (2019): 267–75. http://dx.doi.org/10.1177/0284185119852733.

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Background Recently, the evaluation of the tumor size and local extension of early-stage uterine cervical cancer on magnetic resonance imaging is important for the accurate clinical staging and to determine the indication of less extensive surgery such as fertility sparing radical trachelectomy. Purpose To compare the diagnostic ability of reduced field-of-view diffusion-weighted imaging with those of three-dimensional (3D) contrast-enhanced T1-weighted imaging and T2-weighted imaging for assessing the tumor margin delineation and local extent of uterine cervical cancer. Material and Methods 3

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31

Iyer, Rajiv R., John A. Butman, Stuart Walbridge, Neville D. Gai, John D. Heiss, and Russell R. Lonser. "Tracking accuracy of T2- and diffusion-weighted magnetic resonance imaging for infusate distribution by convection-enhanced delivery." Journal of Neurosurgery 115, no. 3 (2011): 474–80. http://dx.doi.org/10.3171/2011.5.jns11246.

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Object Because convection-enhanced delivery relies on bulk flow of fluid in the interstitial spaces, MR imaging techniques that detect extracellular fluid and fluid movement may be useful for tracking convective drug distribution. To determine the tracking accuracy of T2-weighted and diffusion-weighted MR imaging sequences, the authors followed convective distribution of radiolabeled compounds using these imaging sequences in nonhuman primates. Methods Three nonhuman primates underwent thalamic convective infusions (5 infusions) with 14C-sucrose (MW 342 D) or 14C-dextran (MW 70,000 D) during s

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32

Kele, Petra G. "Diffusion weighted imaging in the liver." World Journal of Gastroenterology 16, no. 13 (2010): 1567. http://dx.doi.org/10.3748/wjg.v16.i13.1567.

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33

Hori, Masaaki, Kouhei Kamiya, and Katsutoshi Murata. "Technical Basics of Diffusion-Weighted Imaging." Magnetic Resonance Imaging Clinics of North America 29, no. 2 (2021): 129–36. http://dx.doi.org/10.1016/j.mric.2021.01.001.

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34

Tsuchiya, K., S. Katase, A. Yoshino, and J. Hachiya. "Diffusion-weighted MR imaging of encephalitis." American Journal of Roentgenology 173, no. 4 (1999): 1097–99. http://dx.doi.org/10.2214/ajr.173.4.10511186.

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35

Sparacia, Gianvincenzo, and Koji Sakai. "Temperature Measurement by Diffusion-Weighted Imaging." Magnetic Resonance Imaging Clinics of North America 29, no. 2 (2021): 253–61. http://dx.doi.org/10.1016/j.mric.2021.02.005.

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36

Ong, Yi Xiong. "Diffusion Weighted Imaging: An Illustrated Review." Journal of Medical Imaging and Radiation Sciences 53, no. 3 (2022): 3. http://dx.doi.org/10.1016/j.jmir.2022.03.086.

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37

CANAN, Arzu. ""b value" of diffusion weighted imaging." Tuberkuloz ve Toraks 63, no. 2 (2015): 140–41. http://dx.doi.org/10.5578/tt.8757.

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38

SİVRİOĞLU, Ali Kemal, Kemal KARA, Ersin ÖZTÜRK, and Erol KILIÇ. "Diffusion weighted imaging of the chest." Tuberkuloz ve Toraks 63, no. 4 (2015): 296–97. http://dx.doi.org/10.5578/tt.8912.

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39

Pektezel, Mehmet Yasir, Ethem Murat Arsava, Rahşan Göçmen, Kader Karlı Oğuz, and Mehmet Akif Topçuoğlu. "Diffusion-Weighted-Imaging Negative Stroke Syndromes." Turkish Journal Of Neurology 27, no. 2 (2021): 151–57. http://dx.doi.org/10.4274/tnd.2021.67878.

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40

Soman, Teesta B., Masanori Takeoka, Elizabeth C. Dooling, and Verne Caviness. "Diffusion-Weighted Imaging in Moyamoya Disease." Journal Of Child Neurology 16, no. 07 (2001): 522. http://dx.doi.org/10.2310/7010.2001.17867.

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41

Shimofusa, Ryota, Hajime Fujimoto, Hajime Akamata, et al. "Diffusion-Weighted Imaging of Prostate Cancer." Journal of Computer Assisted Tomography 29, no. 2 (2005): 149–53. http://dx.doi.org/10.1097/01.rct.0000156396.13522.f2.

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42

Soman, Teesta B., Masanori Takeoka, Elizabeth C. Dooling, and Verne Caviness. "Diffusion-Weighted Imaging in Moyamoya Disease." Journal of Child Neurology 16, no. 7 (2001): 526–30. http://dx.doi.org/10.1177/088307380101600714.

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43

Robertis, Riccardo De. "Diffusion-weighted imaging of pancreatic cancer." World Journal of Radiology 7, no. 10 (2015): 319. http://dx.doi.org/10.4329/wjr.v7.i10.319.

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44

Baliyan, Vinit, Chandan J. Das, Raju Sharma, and Arun Kumar Gupta. "Diffusion weighted imaging: Technique and applications." World Journal of Radiology 8, no. 9 (2016): 785. http://dx.doi.org/10.4329/wjr.v8.i9.785.

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45

Rahbar, Habib, Brenda F. Kurland, Matthew L. Olson, et al. "Diffusion-Weighted Breast Magnetic Resonance Imaging." Journal of Computer Assisted Tomography 40, no. 3 (2016): 428–35. http://dx.doi.org/10.1097/rct.0000000000000372.

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46

Charlot, M., J. B. Pialat, N. Obadia, et al. "Diffusion-weighted imaging in brain aspergillosis." European Journal of Neurology 14, no. 8 (2007): 912–16. http://dx.doi.org/10.1111/j.1468-1331.2007.01874.x.

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47

Sakai, Osamu, and Glenn D. Barest. "Diffusion-Weighted Imaging of Cerebral Malaria." Journal of Neuroimaging 15, no. 3 (2005): 278–80. http://dx.doi.org/10.1111/j.1552-6569.2005.tb00322.x.

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48

Chan, J. H. M., E. Y. K. Tsui, S. H. Luk, et al. "MR diffusion-weighted imaging of kidney." Clinical Imaging 25, no. 2 (2001): 110–13. http://dx.doi.org/10.1016/s0899-7071(01)00246-7.

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49

Bammer, Roland. "Basic principles of diffusion-weighted imaging." European Journal of Radiology 45, no. 3 (2003): 169–84. http://dx.doi.org/10.1016/s0720-048x(02)00303-0.

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50

Dyrby, Tim B., Henrik Lundell, Mark W. Burke, et al. "Interpolation of diffusion weighted imaging datasets." NeuroImage 103 (December 2014): 202–13. http://dx.doi.org/10.1016/j.neuroimage.2014.09.005.

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