Journal articles on the topic 'Fat imaging'

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1

Robinson, P. J. A. "Fat and the liver." Imaging 16, no. 4 (September 2004): 364–74. http://dx.doi.org/10.1259/imaging/26666175.

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2

Davidovich, D., A. Gastaldelli, and R. Sicari. "Imaging cardiac fat." European Heart Journal - Cardiovascular Imaging 14, no. 7 (March 28, 2013): 625–30. http://dx.doi.org/10.1093/ehjci/jet045.

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3

Wang, H., Y. E. Chen, and Daniel T. Eitzman. "Imaging Body Fat." Arteriosclerosis, Thrombosis, and Vascular Biology 34, no. 10 (October 2014): 2217–23. http://dx.doi.org/10.1161/atvbaha.114.303036.

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4

Kellman, Peter, Diego Hernando, and Andrew E. Arai. "Myocardial Fat Imaging." Current Cardiovascular Imaging Reports 3, no. 2 (March 11, 2010): 83–91. http://dx.doi.org/10.1007/s12410-010-9012-1.

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5

Dooms, G. C., H. Hricak, A. R. Margulis, and G. de Geer. "MR imaging of fat." Radiology 158, no. 1 (January 1986): 51–54. http://dx.doi.org/10.1148/radiology.158.1.3940397.

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6

Ehara, S. "MR imaging of fat necrosis." American Journal of Roentgenology 171, no. 3 (September 1998): 889. http://dx.doi.org/10.2214/ajr.171.3.9725348.

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7

Chan, Lai Peng, R. Gee, Ciaran Keogh, and Peter L. Munk. "Imaging Features of Fat Necrosis." American Journal of Roentgenology 181, no. 4 (October 2003): 955–59. http://dx.doi.org/10.2214/ajr.181.4.1810955.

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8

Axel, Leon. "Fat Suppression in MR Imaging." RadioGraphics 19, no. 5 (September 1999): 1177. http://dx.doi.org/10.1148/radiographics.19.5.g99se411177a.

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9

Griffith, James F. "MR imaging of marrow fat." Bone 47 (October 2010): S380. http://dx.doi.org/10.1016/j.bone.2010.09.066.

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10

Hernandez, R. J., D. R. Keim, T. L. Chenevert, D. B. Sullivan, and A. M. Aisen. "Fat-suppressed MR imaging of myositis." Radiology 182, no. 1 (January 1992): 217–19. http://dx.doi.org/10.1148/radiology.182.1.1727285.

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11

Rose, P. M., T. A. Demlow, J. Szumowski, and S. F. Quinn. "Chondromalacia patellae: fat-suppressed MR imaging." Radiology 193, no. 2 (November 1994): 437–40. http://dx.doi.org/10.1148/radiology.193.2.7972759.

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12

PARK, HEE-MYUNG, REN?? P. DUCRET, and DUNCAN C. BRINDLEY. "Pulmonary Imaging in Fat Embolism Syndrome." Clinical Nuclear Medicine 11, no. 7 (July 1986): 521–22. http://dx.doi.org/10.1097/00003072-198607000-00018.

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13

Bhatt, Malay Y., Santiago Martínez-Jiménez, Melissa L. Rosado-de-Christenson, Kenneth R. Watson, Christopher M. Walker, and Jeffrey R. Kunin. "Imaging Manifestations of Mediastinal Fat Necrosis." Case Reports in Radiology 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/323579.

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Mediastinal fat necrosis (MFN) or epipericardial fat necrosis, as it is commonly referred to in the literature, is a rare self-limiting cause of chest pain of unclear etiology. MFN affects previously healthy individuals who present with acute pleuritic chest pain. Characteristic computed tomography (CT) findings include a fat attenuation lesion with intrinsic and surrounding increased attenuation stranding. There is often associated thickening of the adjacent pericardium and/or pleural effusions. We present two cases of MFN manifesting as ovoid fat attenuation lesions demarcated by a soft tissue attenuation rim with intrinsic and surrounding soft tissue attenuation stranding and review the clinical and pathologic features of these lesions. Knowledge of the clinical presentation of patients with MFN and familiarity with the characteristic imaging findings of these lesions should allow radiologists to prospectively establish the correct diagnosis and suggest conservative management and follow-up.
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14

Borges, Alexandra R., Robert B. Lufkin, Anthony Y. Huang, Keyvan Farahani, and Anthony C. Arnold. "Frequency-Selective Fat Suppression MR Imaging." Journal of Neuro-Ophthalmology 17, no. 1 (March 1997): 12???17. http://dx.doi.org/10.1097/00041327-199703000-00003.

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15

Friedman, Seth D., Sandra L. Poliachik, and Gregory T. Carter. "Muscle-fat magnetic resonance imaging: Applications." Muscle & Nerve 50, no. 2 (July 21, 2014): 157–58. http://dx.doi.org/10.1002/mus.24252.

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16

Bley, Thorsten A., Oliver Wieben, Christopher J. François, Jean H. Brittain, and Scott B. Reeder. "Fat and water magnetic resonance imaging." Journal of Magnetic Resonance Imaging 31, no. 1 (December 20, 2009): 4–18. http://dx.doi.org/10.1002/jmri.21895.

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17

Rafiq, Suhail, Sheema Posh, Inayat Ellahi, and Shabir Bhat. "Utility of magnetic resonance imaging in differentiating T1 fat saturated hyperintense lesions." New Indian Journal of OBGYN 9, no. 1 (August 2022): 31–34. http://dx.doi.org/10.21276/obgyn.2022.9.1.7.

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18

Uchida, Nobue, Kazuro Sugimura, Akiko Kajitani, Takeshi Yoshizako, and Tetsuya Ishida. "MR imaging of vertebral metastases: evaluation of fat saturation imaging." European Journal of Radiology 17, no. 2 (September 1993): 91–94. http://dx.doi.org/10.1016/0720-048x(93)90041-k.

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19

Yoshioka, Hiroshi, Kathryn Stevens, Brian A. Hargreaves, Daniel Steines, Mark Genovese, Michael F. Dillingham, Carl S. Winalski, and Philipp Lang. "Magnetic resonance imaging of articular cartilage of the knee: Comparison between fat-suppressed three-dimensional SPGR imaging, fat-suppressed FSE imaging, and fat-suppressed three-dimensional DEFT imaging, and correlation with arthroscopy." Journal of Magnetic Resonance Imaging 20, no. 5 (2004): 857–64. http://dx.doi.org/10.1002/jmri.20193.

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20

Salvati, Roberto, Eric Hitti, Jean-Jacques Bellanger, Hervé Saint-Jalmes, and Giulio Gambarota. "Fat ViP MRI: Virtual Phantom Magnetic Resonance Imaging of water–fat systems." Magnetic Resonance Imaging 34, no. 5 (June 2016): 617–23. http://dx.doi.org/10.1016/j.mri.2015.12.002.

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21

Molinari, Francesco, Alexander A. Bankier, and Ronald L. Eisenberg. "Fat-Containing Lesions in Adult Thoracic Imaging." American Journal of Roentgenology 197, no. 5 (November 2011): W795—W813. http://dx.doi.org/10.2214/ajr.11.6932.

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22

ANEGAWA, Shigetaka, Takashi HAYASHI, Ryuichiro TORIGOE, Tetsuzo OGASAWARA, and Takahiro HASHIZUME. "Magnetic Resonance Imaging of Fat Embolism Syndrome." Neurologia medico-chirurgica 31, no. 6 (1991): 359–61. http://dx.doi.org/10.2176/nmc.31.359.

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23

Paccione, Michael, Heena Rajdeo, Kalyani Bhuta, and Gunaseelan Ambrose. "MAGNETIC RESONANCE IMAGING OF CEREBRAL FAT EMBOLISM." Critical Care Medicine 32, Supplement (December 2004): A187. http://dx.doi.org/10.1097/00003246-200412001-00666.

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24

Kraus, B. B., and P. R. Ros. "Insulinoma: diagnosis with fat-suppressed MR imaging." American Journal of Roentgenology 162, no. 1 (January 1994): 69–70. http://dx.doi.org/10.2214/ajr.162.1.8273692.

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25

Zaitsu, Yuri, Satoshi Terae, Kohsuke Kudo, Khin Khin Tha, Mineji Hayakawa, Noriyuki Fujima, Daisuke Yoshida, Akiko Tsukahara, and Hiroki Shirato. "Susceptibility-Weighted Imaging of Cerebral Fat Embolism." Journal of Computer Assisted Tomography 34, no. 1 (January 2010): 107–12. http://dx.doi.org/10.1097/rct.0b013e3181a962c1.

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26

Venkataraman, Shambhavi, Vandana Dialani, Tejas S. Mehta, Kenny C. Lai, Erica Ghosh, and Priscilla J. Slanetz. "Multimodality Imaging of Fat-Containing Breast Lesions." Contemporary Diagnostic Radiology 36, no. 7 (March 2013): 1–5. http://dx.doi.org/10.1097/01.cdr.0000428372.24418.91.

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27

&NA;. "Multimodality Imaging of Fat-Containing Breast Lesions." Contemporary Diagnostic Radiology 36, no. 7 (March 2013): 6. http://dx.doi.org/10.1097/01.cdr.0000428373.32042.88.

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28

Thomas, E. Louise, Nadeem Saeed, Joseph V. Hajnal, Audrey Brynes, Anthony P. Goldstone, Gary Frost, and Jimmy D. Bell. "Magnetic resonance imaging of total body fat." Journal of Applied Physiology 85, no. 5 (November 1, 1998): 1778–85. http://dx.doi.org/10.1152/jappl.1998.85.5.1778.

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In this study we assessed different magnetic resonance imaging (MRI) scanning regimes and examined some of the assumptions commonly made for measuring body fat content by MRI. Whole body MRI was used to quantify and study different body fat depots in 67 women. The whole body MRI results showed that there was a significant variation in the percentage of total internal, as well as visceral, adipose tissue across a range of adiposity, which could not be predicted from total body fat and/or subcutaneous fat. Furthermore, variation in the amount of total, subcutaneous, and visceral adipose tissue was not related to standard anthropometric measurements such as skinfold measurements, body mass index, and waist-to-hip ratio. Finally, we show for the first time subjects with a percent body fat close to the theoretical maximum (68%). This study demonstrates that the large variation in individual internal fat content cannot be predicted from either indirect methods or direct imaging techniques, such as MRI or computed tomography, on the basis of a single-slice sampling strategy.
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29

Stulov, A. S., and A. N. Tarasov. "Magnetic Resonance Imaging of Hoffa’s Fat Pad." Traumatology and Orthopedics of Russia 25, no. 2 (July 16, 2019): 134–40. http://dx.doi.org/10.21823/2311-2905-2019-25-2-134-140.

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Background. Pathological changes in the size and structure of Hoffa’s fat pad can cause pain in the anterior section of the knee joint. Therefore, they should be diagnosed. The objective of the paper is to improve the diagnostics of Hoffa’s fat pad disease on the basis of a detailed study of the clinical anatomy of the infrapatellar (Hoffa’s) fat pad and magnetic resonance imaging (MRI) findings in normal and pathological conditions.Materials and Methods. Protocols of 86 MRI examinations of knee joints with anterior knee pain syndrome and no clearly defined traumatic history nor positive clinical tests indicating damage to the intra-articular and periarticular elements with identified structural changes in the fat pad were selected retrospectively. The control group consisted of data from 24 examinations of asymptomatic knee joints. In all cases, the pathology was confirmed during diagnostic and therapeutic arthroscopy.Results. The MRI findings showed the normal structure of the infrapatellar fat pad, as well as pathological changes in the form of tearing, local edema, diffuse edema, synovial proliferation and fibrosis. Depending on the location and type of changes, 4 pathological syndromes were identified: “classic” Hoffa’s disease — 49 (57%) cases, infrapatellar synovial fold syndrome — 11 (13%), infrapatellar synovial fold separation syndrome — 6 (7%), and impingent syndrome of upper lateral adipose tissue — 20 (23%) cases.Conclusions. To identify a pathology, a precise synchronization of clinical and morphological changes is required. Accurate differentiation of syndromes is possible due to knowledge of the detailed anatomical and magnetic-resonance features of the fat pad in normal and pathological conditions. This allows to diagnose the cause of pain in the anterior sections of the knee joint, specify the diagnosis, and choose the optimal plan of treatment.
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30

Deans, H. E., F. W. Smith, D. J. Lloyd, A. N. Law, and H. W. Sutherland. "Fetal fat measurement by magnetic resonance imaging." British Journal of Radiology 62, no. 739 (July 1989): 603–7. http://dx.doi.org/10.1259/0007-1285-62-739-603.

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31

Nunez, E., J. M. James, J. J. Lloyd, and H. J. Testa. "111. Fat and flab in thallium imaging." Nuclear Medicine Communications 14, no. 1 (April 1993): 286. http://dx.doi.org/10.1097/00006231-199304000-00113.

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32

Goehde, Susanne C., Hilmar Kuehl, and Mark E. Ladd. "Magnetic resonance imaging of autologous fat grafting." European Radiology 15, no. 12 (May 20, 2005): 2423–26. http://dx.doi.org/10.1007/s00330-005-2765-2.

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33

Chauvin, Nancy A., Asef Khwaja, Monica Epelman, and Michael J. Callahan. "Imaging findings of Hoffa’s fat pad herniation." Pediatric Radiology 46, no. 4 (December 9, 2015): 508–12. http://dx.doi.org/10.1007/s00247-015-3515-5.

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34

Xiang, Qing-San, and Li An. "Water-fat imaging with direct phase encoding." Journal of Magnetic Resonance Imaging 7, no. 6 (November 1997): 1002–15. http://dx.doi.org/10.1002/jmri.1880070612.

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35

Ma, Jingfei. "Dixon techniques for water and fat imaging." Journal of Magnetic Resonance Imaging 28, no. 3 (September 2008): 543–58. http://dx.doi.org/10.1002/jmri.21492.

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36

Kawano, Y., M. Ochi, K. Hayashi, M. Morikawa, and S. Kimura. "Magnetic resonance imaging of cerebral fat embolism." Neuroradiology 33, no. 1 (1991): 72–74. http://dx.doi.org/10.1007/bf00593341.

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37

Miyazaki, Mitsue, Andrew Wheaton, and Shinichi Kitane. "Enhanced fat suppression technique for breast imaging." Journal of Magnetic Resonance Imaging 38, no. 4 (November 21, 2012): 981–86. http://dx.doi.org/10.1002/jmri.23932.

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38

Taylor, George. "Good Fat, Bad Fat–Does Location Matter?" Radiology 242, no. 3 (March 2007): 645–46. http://dx.doi.org/10.1148/radiol.2423061562.

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39

Mantatzis, Michael, and Panos Prassopoulos. "Total Body Fat, Visceral Fat, Subcutaneous Fat, Bone Marrow Fat? What Is Important to Measure?" American Journal of Roentgenology 189, no. 6 (December 2007): W386. http://dx.doi.org/10.2214/ajr.07.2996.

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40

SIMON, JACK H., and JERZY SZUMOWSKI. "Proton (Fat/Water) Chemical Shift Imaging in Medical Magnetic Resonance Imaging." Investigative Radiology 27, no. 10 (October 1992): 865–74. http://dx.doi.org/10.1097/00004424-199210000-00018.

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41

Wiens, Curtis N., Colin M. McCurdy, Jacob D. Willig-Onwuachi, and Charles A. McKenzie. "R2*-corrected water-fat imaging using compressed sensing and parallel imaging." Magnetic Resonance in Medicine 71, no. 2 (March 8, 2013): 608–16. http://dx.doi.org/10.1002/mrm.24699.

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42

Mao, Jintong, Hong Yan, W. W. Brey, W. D. Bidgood, J. J. Steinbach, and A. Mancuso. "Fat tissue and fat suppression." Magnetic Resonance Imaging 11, no. 3 (January 1993): 385–93. http://dx.doi.org/10.1016/0730-725x(93)90071-k.

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43

Gerdes, Clint M., Richard Kijowski, and Scott B. Reeder. "IDEAL Imaging of the Musculoskeletal System: Robust Water–Fat Separation for Uniform Fat Suppression, Marrow Evaluation, and Cartilage Imaging." American Journal of Roentgenology 189, no. 5 (November 2007): W284—W291. http://dx.doi.org/10.2214/ajr.07.2593.

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44

Manaster, B. J. "IDEAL Imaging of the Musculoskeletal System: Robust Water–Fat Separation for Uniform Fat Suppression, Marrow Evaluation, and Cartilage Imaging." Yearbook of Diagnostic Radiology 2009 (January 2009): 85–86. http://dx.doi.org/10.1016/s0098-1672(09)79325-7.

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45

Schreiber, Melvyn H. "Fat chance." Academic Radiology 3, no. 10 (October 1996): 884. http://dx.doi.org/10.1016/s1076-6332(96)80286-8.

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46

Canteli, Begoña, Fermín Saez, Antonio de los Ríos, and Carmen Alvarez. "Fat necrosis." Skeletal Radiology 25, no. 3 (April 4, 1996): 305–7. http://dx.doi.org/10.1007/s002560050086.

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47

Parente, Daniella Braz, Jaime Araújo Oliveira Neto, Antonio Luis Eiras de Araújo, Rosana Souza Rodrigues, Renata Mello Perez, and Edson Marchiori. "Fat-containing liver lesions: a pictorial review." Radiologia Brasileira 51, no. 1 (January 8, 2018): 52–57. http://dx.doi.org/10.1590/0100-3984.2016.0147.

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Abstract The aim of this pictorial essay is to review the spectrum of fat-containing liver lesions and their characterisation on magnetic resonance imaging with focus on the radiological features that aid in the differential diagnoses. Fat-containing liver lesions comprise a heterogeneous group of tumours with variable imaging findings. Magnetic resonance imaging clearly displays the micro- and macroscopic fat components of the lesions and other characteristic features that are helpful tools to make the differential diagnosis.
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48

Ba-Ssalamah, Ahmed, Nadja Schibany, Stefan Puig, Andreas M. Herneth, Iris M. Noebauer-Huhmann, and Siegfried Trattnig. "Imaging articular cartilage defects in the ankle joint with 3D fat-suppressed echo planar imaging: Comparison with conventional 3D fat-suppressed gradient echo imaging." Journal of Magnetic Resonance Imaging 16, no. 2 (July 23, 2002): 209–16. http://dx.doi.org/10.1002/jmri.10153.

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49

Coppini, Giuseppe. "Quantification of Epicardial Fat by Cardiac CT Imaging." Open Medical Informatics Journal 4, no. 1 (July 27, 2010): 126–35. http://dx.doi.org/10.2174/1874431101004010126.

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50

Demchuk, AndrewM, PabloGarcia Bermejo, Youngbin Choi, Nandavar Shobha, Rohit Bhatia, and EricE Smith. "Multimodal imaging tools for diagnosis of fat embolism." Journal of Emergencies, Trauma, and Shock 4, no. 2 (2011): 306. http://dx.doi.org/10.4103/0974-2700.82232.

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