Thematische Bibliographien / Water-fat MRI

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Auswahl der wissenschaftlichen Literatur zum Thema „Water-fat MRI“

Autor: Grafiati
Veröffentlicht am 25. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Water-fat MRI"

1

Schick, Fritz. "Fat and water selective MRI." Zeitschrift für Medizinische Physik 27, no. 1 (2017): 1–3. http://dx.doi.org/10.1016/j.zemedi.2017.01.003.

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Vasanawala, Shreyas S., Ananth J. Madhuranthakam, Ramesh Venkatesan, Arvind Sonik, Peng Lai, and Anja C. S. Brau. "Volumetric fat-water separated T2-weighted MRI." Pediatric Radiology 41, no. 7 (2011): 875–83. http://dx.doi.org/10.1007/s00247-010-1963-5.

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3

Jerban, Saeed, Hyungseok Jang, Eric Y. Chang, Susan Bukata, Jiang Du, and Christine B. Chung. "Bone Biomarkers Based on Magnetic Resonance Imaging." Seminars in Musculoskeletal Radiology 28, no. 01 (2024): 062–77. http://dx.doi.org/10.1055/s-0043-1776431.

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AbstractMagnetic resonance imaging (MRI) is increasingly used to evaluate the microstructural and compositional properties of bone. MRI-based biomarkers can characterize all major compartments of bone: organic, water, fat, and mineral components. However, with a short apparent spin-spin relaxation time (T2*), bone is invisible to conventional MRI sequences that use long echo times. To address this shortcoming, ultrashort echo time MRI sequences have been developed to provide direct imaging of bone and establish a set of MRI-based biomarkers sensitive to the structural and compositional changes
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Jacob, M., and B. P. Sutton. "Algebraic Decomposition of Fat and Water in MRI." IEEE Transactions on Medical Imaging 28, no. 2 (2009): 173–84. http://dx.doi.org/10.1109/tmi.2008.927344.

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Taviani, Valentina, Diego Hernando, Christopher J. Francois, et al. "Whole-heart chemical shift encoded water-fat MRI." Magnetic Resonance in Medicine 72, no. 3 (2013): 718–25. http://dx.doi.org/10.1002/mrm.24982.

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Andersson, Thord, Thobias Romu, Anette Karlsson, et al. "Consistent intensity inhomogeneity correction in water-fat MRI." Journal of Magnetic Resonance Imaging 42, no. 2 (2014): 468–76. http://dx.doi.org/10.1002/jmri.24778.

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Elhashash, Esraa R. K., Amr M. T. Elbadry, Alshimaa Z. Elshahawy, and Alshimaa M. Ammar. "Added value of Dixon MRI in quantification of liver fat in nonalcoholic fatty liver disease." Tanta Medical Journal 53, no. 1 (2025): 40–46. https://doi.org/10.4103/tmj.tmj_65_24.

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Background The Dixon method for fat/water separation employs a technique for achieving consistent fat suppression by utilizing water-only reconstruction. The fat-only Dixon technique is a tool for identifying microscopic fat and assessing pathological lesions of concern. Aim To investigate the MRI Dixon fat fraction role in assessing fat deposition among nonalcoholic fatty liver disease (NAFLD) cases and correlation with ultrasonography (USG). Patients and methods This study included 30 cases, with an age range falling between 19 and 80 years, both sexes. We included those with one or more ris
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Picaud, Julien, Guylaine Collewet, and Jérôme Idier. "Quantification of mass fat fraction in fish using water–fat separation MRI." Magnetic Resonance Imaging 34, no. 1 (2016): 44–50. http://dx.doi.org/10.1016/j.mri.2015.10.004.

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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 (2016): 617–23. http://dx.doi.org/10.1016/j.mri.2015.12.002.

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Kim, Hokun, Joon-Il Choi, and Hyun-Soo Lee. "Friend or Foe: How to Suppress and Measure Fat During Abdominal Resonance Imaging?" Korean Journal of Abdominal Radiology 6, no. 1 (2022): 22–36. http://dx.doi.org/10.52668/kjar.2022.00143.

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The suppression of fat signals in abdominal magnetic resonance imaging has become a basic and routine practice in the diagnosis of pathologic conditions of abdominal organs in clinical settings. Many fat-suppression techniques have been developed in the past several decades, with fat-quantification methods introduced in response in more recent years. Fat-suppression techniques can be divided into two categories. Chemical shift–based techniques include chemical shift selective (CHESS), water excitation, and the Dixon method. CHESS is the most commonly used fat-suppression method, nulling the fa
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Dissertationen zum Thema "Water-fat MRI"

1

Cui, Chen. "MRI fat-water separation using graph search based methods." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5740.

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The separation of water and fat from multi-echo images is a classic problem in magnetic resonance imaging (MRI) with a wide range of important clinical applications. For example, removal of fat signal can provide better visualization of other signal of interest in MRI scans. In other cases, the fat distribution map can be of great importance in diagnosis. Although many methods have been proposed over the past three decades, robust fat water separation remains a challenge as radiological technology and clinical expectation continue to grow. The problem presents three key difficulties: a) the pr
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Saputra, Michael Wijaya. "Water and Fat Image Reconstruction from MRI Raw Multi Coil Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-372138.

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n MRI, water and fat signal separation with robust techniques are often helpful in the diagnosis using MRI. Reliable separation of water and fat will help the doctor to get accurate diagnoses such as the size of a tumour. Moreover, fat images can also help in diagnosing the liver and heart condition. To perform water and fat separation, multiple echoes, i.e. measurements of the raw MR signal at different time points, are required. By utilizing the knowledge of the expected signal evolution, it is possible to perform the separation. A main magnetic field is used in MRI. This field is not perfec
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Mendoza, Michael A. "Water Fat Separation with Multiple-Acquisition Balanced Steady-State Free Precession MRI." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4304.

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Magnetic resonance imaging (MRI) is an important medical imaging technique for visualizing soft tissue structures in the body. It has the advantages of being noninvasive and, unlike x-ray, does not rely on ionizing radiation for imaging. In traditional hydrogen-based MRI, the strongest measured signals are generated from the hydrogen nuclei contained in water and fat molecules.Reliable and uniform water fat separation can be used to improve medical diagnosis. In many applications the water component is the primary signal of interest, while the fat component represents a signal which can obscur
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Huang, Fangping. "Water and Fat Image Reconstruction in Magnetic Resonance Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1309791802.

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Mehemed, Taha Mohamed M. "Fat-Water Interface on Susceptibility-Weighted Imaging and Gradient-Echo Imaging: Comparison of Phantoms to Intracranial Lipomas." Kyoto University, 2014. http://hdl.handle.net/2433/193572.

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Salvati, Roberto. "Development of Magnetic Resonance Imaging (MRI) methods for in vivo quantification of lipids in preclinical models." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1B026/document.

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L'obésité est associée à une augmentation de la morbidité et de la mortalité liée à de nombreuses maladies, y compris le diabète de type 2, l'hypertension et des pathologies hépatiques menant à une surcharge lipidique d’origine non alcoolique. Récemment, l’imagerie par résonance magnétique (IRM) est devenue la méthode de choix pour la quantification non invasive de la graisse. Dans cette thèse, les méthodes d'IRM ont été étudiées sur un scanner préclinique de 4.7T in vitro (fantômes MR) et in vivo (souris). Deux algorithmes de quantifications de la graisse -la méthode de Dixon et l’algorithme
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Palosaari, K. (Kari). "Quantitative and semiquantitative imaging techniques in detecting joint inflammation in patients with rheumatoid arthritis:phase-shift water-fat MRI method for fat suppression at 0.23 T, contrast-enhanced dynamic and static MRI, and quantitative 99mTc-nanocolloid scintigraphy." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514288623.

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Abstract The purpose of this study was to evaluate the value of 0.23T low-field magnetic resonance imaging (MRI) and nanocolloid (NC) scintigraphy in assessing joint pathology associated with rheumatoid arthritis (RA). Fat suppression methods combined with contrast media enhancement aid in distinguishing enhancing inflamed tissue from the surrounding fat, especially in the imaging of arthritic joints. The feasibility and image quality of a phase-shift water-fat MRI method for fat suppression at low-field 0.23T open configuration MR scanner was evaluated. The technique was combined with contra
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Berglund, Johan. "Separation of Water and Fat Signal in Magnetic Resonance Imaging : Advances in Methods Based on Chemical Shift." Doctoral thesis, Uppsala universitet, Enheten för radiologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-158111.

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Magnetic resonance imaging (MRI) is one of the most important diagnostic tools of modern healthcare. The signal in medical MRI predominantly originates from water and fat molecules. Separation of the two components into water-only and fat-only images can improve diagnosis, and is the premier non-invasive method for measuring the amount and distribution of fatty tissue. Fat-water imaging (FWI) enables fast fat/water separation by model-based estimation from chemical shift encoded data, such as multi-echo acquisitions. Qualitative FWI is sufficient for visual separation of the components, while
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Belbaisi, Adham. "Deep Learning-Based Skeleton Segmentation for Analysis of Bone Marrow and Cortical Bone in Water-Fat Magnetic Resonance Imaging." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297528.

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A major health concern for subjects with diabetes is weaker bones and increased fracture risk. Current clinical assessment of the bone strength is performed by measuring Bone Mineral Density (BMD), where low BMD-values are associated with an increased risk of fracture. However, subjects with Type 2 Diabetes (T2D) have been shown to have normal or higher BMD-levels compared to healthy controls, which does not reflect the recognized bone fragility among diabetics. Thus, there is need for more research about diabetes-related bone fragility to find other factors of impaired bone health. One potent
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Johnson, David Herbert. "Phenotyping Rodent Models of Obesity Using Magnetic Resonance Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1250086728.

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Buchteile zum Thema "Water-fat MRI"

1

Horowitz, Alfred L. "Fat and Water." In MRI Physics for Radiologists. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-0428-9_17.

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Horowitz, Alfred L. "Fat and Water." In MRI Physics for Radiologists. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0785-6_19.

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Kronthaler, Sophia, Georg Feuerriegel, Philipp Braun, Kilian Weiss, Alexandra Gersing, and Dimitrios C. Karampinos. "UTE–Dixon Fat–Water Imaging." In MRI of Short and Ultrashort-T_2 Tissues. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35197-6_15.

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Glocker, Ben, Ender Konukoglu, Ioannis Lavdas, et al. "Correction of Fat-Water Swaps in Dixon MRI." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46726-9_62.

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Zhao, Liang, Yiqiang Zhan, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, and Xiang Sean Zhou. "Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks." In Patch-Based Techniques in Medical Imaging. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47118-1_16.

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Gong, Zhendi, Rosemary Nicholas, Susan T. Francis, and Xin Chen. "Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI." In Medical Image Understanding and Analysis. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12053-4_20.

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Runge, Val M., and Johannes T. Heverhagen. "Water Excitation, Fat Excitation." In The Physics of Clinical MR Taught Through Images. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85413-3_47.

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Lee, Christine U., and James F. Glockner. "Case 11.8." In Mayo Clinic Body MRI Case Review, edited by Christine U. Lee and James F. Glockner. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199915705.003.0286.

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50-year-old perimenopausal woman with intermittent mild abdominopelvic pain Fat, water, IP, and OP images from a 3D SPGR Dixon acquisition (Figure 11.8.1) reveal a posterior right adnexal lesion with a fluid-fluid level. The anterior nondependent layer is lipid, which appears bright on the fat image and dark on the water image. Notice also the chemical shift artifact appearing at the fat-fluid interface on the OP image....
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Lee, Christine U., and James F. Glockner. "Case 17.31." In Mayo Clinic Body MRI Case Review, edited by Christine U. Lee and James F. Glockner. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199915705.003.0449.

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49-year-old woman with a history of invasive right breast cancer with extensive ductal carcinoma in situ; she has undergone mastectomy and reconstruction with a saline implant Axial water image (Figure 17.31.1A) from a T2-weighted FSE acquisition using a modified 3-point Dixon (IDEAL) method for fat suppression demonstrates water signal in a right breast implant. There is also a minimal amount of right pleural fluid. Axial FSE IR image with fat suppression and selective water suppression (silicone image) (...
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Lee, Christine U., and James F. Glockner. "Case 17.17." In Mayo Clinic Body MRI Case Review, edited by Christine U. Lee and James F. Glockner. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199915705.003.0435.

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58-year-old woman with cirrhosis Axial precontrast (Figure 17.17.1) and arterial phase (Figure 17.17.2) and portal venous phase (Figure 17.17.3) postgadolinium water and fat images from a 3D SPGR Dixon acquisition. Notice that the phase and frequency directions have been swapped on the arterial phase acquisition and that there is a large geographic signal void in the middle of the liver on the water image, with the missing anatomy appearing on the corresponding fat image. All artifacts have been corrected on the portal venous phase images....
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Konferenzberichte zum Thema "Water-fat MRI"

1

Tisdall, M. Dylan, and M. Stella Atkins. "Fat/water separation in a single MRI image with arbitrary phase shift." In Medical Imaging, edited by Michael J. Flynn and Jiang Hsieh. SPIE, 2006. http://dx.doi.org/10.1117/12.655128.

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Shen, Chenfei, Huajun She, and Yiping Du. "Improved Robustness in Water-Fat Separation in MRI using Conditional Adversarial Networks." In ICBBE '20: 2020 7th International Conference on Biomedical and Bioinformatics Engineering. ACM, 2020. http://dx.doi.org/10.1145/3444884.3444891.

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Picaud, Julien, Guylaine Collewet, and Jerome Idier. "Correction of RF inhomogeneities for high throughput water and fat quantification by MRI." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367176.

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Xu, Jing, Xiaofei Hu, Haiying Tang, Richard Kennan, and Karim Azer. "Water-Fat Decomposition by IDEAL-MRI With Phase Estimation: A Method to Determine Chemical Contents In Vivo." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19296.

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High-resolution Magnetic Resonance Imaging (MRI) of humans and animals in vivo is routine and non-invasive. Identifying and quantifying chemical composition of tissue from acquired images is a challenge. MR spectroscopy (MRS) may be used to identify chemical components accurately over a finite volume in the tissue. However, the temporal and spatial resolutions are limited. Multi-spectral MRI exploits the multiple modes of MR such as T1, T2 and proton density maps and classifies voxels into different tissue types, but the chemical identity of the tissue remains unknown. Many fat suppression met
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Pirogov, Yuri A., Nikolai V. Anisimov, and Leonid V. Gubski. "3D visualization of pathological forms from MRI data obtained with simultaneous water and fat signal suppression." In Medical Imaging 2003, edited by Martin J. Yaffe and Larry E. Antonuk. SPIE, 2003. http://dx.doi.org/10.1117/12.479767.

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Annasamudram, Nagasoujanya, Azubuike Okorie, Richard W. Spencer, et al. "Multi-method and multi-atlas segmentation fusion for delineation of thigh muscle groups in 3D water-fat separated MRI." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2024. http://dx.doi.org/10.1117/12.3006894.

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Ong, Henry H., Corey D. Webb, Marnie L. Gruen, Alyssa H. Hasty, John C. Gore, and E. B. Welch. "Fat-water MRI is sensitive to local adipose tissue inflammatory changes in a diet-induced obesity mouse model at 15T." In SPIE Medical Imaging, edited by Barjor Gimi and Robert C. Molthen. SPIE, 2015. http://dx.doi.org/10.1117/12.2082333.

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Ding, J., PA Thompson, Y. Gao, et al. "Abstract P3-02-03: Accurate and reliable automated breast density measurements with no ionizing radiation using fat-water decomposition MRI." In Abstracts: 2016 San Antonio Breast Cancer Symposium; December 6-10, 2016; San Antonio, Texas. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.sabcs16-p3-02-03.

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Ding, J., PA Thompson, BC Wertheim, et al. "Abstract P6-09-19: Breast density change at 6 months is associated with change at 12 months as measured by fat-water decomposition MRI in women on tamoxifen." In Abstracts: 2016 San Antonio Breast Cancer Symposium; December 6-10, 2016; San Antonio, Texas. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.sabcs16-p6-09-19.

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