Дисертації з теми "Water/fat imaging"
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An, Li. "Water-fat imaging and general chemical shift imaging with spectrum modeling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0032/NQ38848.pdf.
Повний текст джерелаHuang, 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.
Повний текст джерелаMehemed, 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.
Повний текст джерелаBerglund, 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.
Повний текст джерелаSun, Ling. "3D Mellisa : a new three dimensional fat/water image acquisition technique for magnetic resonance imaging /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487854314873059.
Повний текст джерелаShibahara, Eriko, Hiroshi Fukatsu, Shinji Naganawa, Tokiko Ito, Eriko Iwayama, Takeo Ishigaki, Toru Segawa, and Waguo Zhang. "Water fat separation using the single acquisition "sandwich" type 3-point Dixon method to optimize knee joint scans." Nagoya University School of Medicine, 2000. http://hdl.handle.net/2237/5354.
Повний текст джерелаBookwalter, Candice Anne. "CONTINUOUS SAMPLING IN MAGNETIC RESONANCE IMAGING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1194049081.
Повний текст джерелаMendoza, Michael A. "Water Fat Separation with Multiple-Acquisition Balanced Steady-State Free Precession MRI." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4304.
Повний текст джерелаSalvati, 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.
Повний текст джерелаObesity is associated with increased morbidity and mortality linked to many diseases, including type 2 diabetes, hypertension and disease nonalcoholic fatty liver. Recently, 1H magnetic resonance imaging (MRI) has emerged as the method of choice for non-invasive fat quantification. In this thesis, MRI methodologies were investigated for in vitro (MR phantoms) and in vivo (mice) measurements on a 4.7T preclinical scanner. Two algorithms of fat quantifications – the Dixon’s method and IDEAL algorithm – were considered. The performances of the IDEAL algorithm were analyzed as a function of tissue properties (T2*, fat fraction and fat spectral model), MRI acquisition parameters (echo times, number of echoes) and experimental parameters (SNR and field map). In phantoms, the standard approach of single-T2* IDEAL showed some limitations that could be overcome by optimizing the number of echoes. A novel method to determine the ground truth values of T2* of water and T2* of fat was here proposed. For in vivo measurements, different analyses were performed using the IDEAL algorithm in liver and muscle. Statistical analysis on ROI measurements showed that the optimal choice of the number of echoes was equal to three for fat quantification and six or more for T2* quantification. The fat fraction values, calculated with IDEAL algorithm, were statistically similar to the values obtained with Dixon’s method. Finally, a method for generating reference signals mimicking fat-water systems (Fat Virtual Phantom MRI), without using physical objects, was proposed. These virtual phantoms, which display realistic noise characteristics, represent an attractive alternative to physical phantoms for providing a reference signal in MRI measurements
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.
Повний текст джерелаJohnson, 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.
Повний текст джерелаOlhager, Elisabeth. "Studies on adipose tissue, body fat, body water and energy expenditure during the first four months of infancy using magnetic resonance imaging, skinfold measurements and the doubly labelled water method /." Linköping : Univ, 2003. http://www.bibl.liu.se/liupubl/disp/disp2003/med798s.pdf.
Повний текст джерелаPalosaari, 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.
Повний текст джерелаDaudé, Pierre. "Quantification du tissu adipeux épicardique à haut champ par IRM-Dixon, pour le phénotypage de la cardiomyopathie diabétique." Electronic Thesis or Diss., Aix-Marseille, 2022. http://www.theses.fr/2022AIXM0333.
Повний текст джерелаImproving the management of cardiac complications in metabolic diseases, obesity and diabetes, is a major challenge for our society. The measurement of epicardial adipose tissue (EAT), a fat depot attached to the heart, is an emerging and promising diagnosis to identify patients at risk. We developed the automation of this measurement on routine MRI images by deep learning. Then, an innovative MRI technique was proposed to measure and characterize the EAT in 3D, combining: a free-breathing acquisition, an image reconstruction robust to cardio-respiratory motion and MRI imperfections, an optimized and validated fat characterization algorithm and the knowledge of the composition of ex-vivo EAT samples. Together, this allows for in vivo, non-invasive characterization of EAT, a novel diagnosis for cardiometabolic risk
Webilor, Raymond. "A dual frequency inductive flow tomography system for fast imaging of water velocity profiles in water continuous multiphase flows." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34606/.
Повний текст джерелаAmurao, Maxwell Leland Ramirez. "Investigating collagen hydration with micro computed tomography a dissertation /." San Antonio : UTHSC, 2008. http://proquest.umi.com.libproxy.uthscsa.edu/pqdweb?did=1625775011&sid=1&Fmt=2&clientId=70986&RQT=309&VName=PQD.
Повний текст джерелаRambow, Olen. "Direct Water and Fat Determination in Two-Point Dixon Imaging." Thesis, 2013. http://hdl.handle.net/1911/72028.
Повний текст джерелаOliveira, Maria Manuela França. "MR imaging biomarkers in diffuse liver diseases: quantification of fat, water and iron deposits." Doctoral thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/106075.
Повний текст джерелаOliveira, Maria Manuela França. "MR imaging biomarkers in diffuse liver diseases: quantification of fat, water and iron deposits." Tese, 2017. https://repositorio-aberto.up.pt/handle/10216/106075.
Повний текст джерелаWyatt, Cory Robert. "Development of MR Thermometry Strategies for Hyperthermia of Extremity and Breast Tumors." Diss., 2010. http://hdl.handle.net/10161/2438.
Повний текст джерелаNumerous studies have shown that the combination of radiation therapy and hyperthermia, when delivered at moderate temperatures (40°-45°C) for sustained times (30-90 minutes), can help to provide palliative relief and augment tumor response, local control, and survival. However, the dependence of treatment success on achieved temperature highlights the need for accurate thermal dosimetry, so that the prescribed thermal dose can be delivered to the tumor. This can be achieved noninvasively with MR thermometry. However, there are many challenges to performing MR thermometry in the breast, where hyperthermia of locally advanced breast cancer can provide a benefit. These include magnetic field system drift, fatty tissue, and breathing motion.
The purpose of this research was to develop a system for the hyperthermia treatment of LABC while performing MR thermometry. A hardware system was developed for performing the hyperthermia treatment within the MR bore. Methods were developed to correct for magnetic field system drift and to correct for breath hold artifacts in MR thermometry of the tumor using measurement of field changes in fat references. Lastly, techniques were developed for measuring temperature in the fatty tissue using multi-echo fat water separation methods, reducing the error of performing MR thermometry in such tissues. All of these methods were characterized with phantom and in vivo experiments in a 1.5T MR system.
The results of this research can provide the means for successful hyperthermia treatment of LABC with MR thermometry. With this thermometry, accurate thermal doses can be obtained, potentially providing improved outcomes. However, these results are not only applicable in the breast, but can also be used for improved MR thermometry in other areas of the body, such as the extremities or abdomen.
Dissertation
Chiu, Yu-Chih, and 邱毓智. "Discrimination of White Adipose Tissue and Brown Adipose Tissue in Magnetic Resonance Imaging - Post-Processing Method Development for Determining the Percentage of Water and Fat in the Image." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/23655324427645917470.
Повний текст джерела國立中正大學
化學暨生物化學研究所
101
In clinical applications, Magnetic resonance imaging is a powerful tool in diagnosis. However, there are still many clinical problems need to be solved. Currently, literature showed that using Breath-hold mutliecho MRI and IDEAL MRI to observe the distribution of adipose tissue and determination the fat percentage. However, MRI is likely to cause errors in judgment, due to the magnetic field, or image contrast or other factors. Therefore, the main purpose of this experiment is combining the basic theory to improve the practical application needs, from the perspective of the basic theory of NMR, using computer simulation tissue signals, measuring experimental phantom and using analysis method to separate the image signal of fat and water. In this study, we simulated tissue signal and using the least squares method and independent component analysis method to analysis the MRI results of experimental phantom. The results show that using the phase image to analyze the signals on transversal plane makes the signal oscillation caused by resonance frequency shift become more obvious. The imaging results were analyzed by of the least squares method and independent component analysis method to determine the populations of fat and water. Using independent component analysis can separate images of water and fat clearly and obtained the more accurate signals percentage of fat and water.