共查询到20条相似文献,搜索用时 15 毫秒
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Optimization of region‐of‐interest sampling strategies for hepatic MRI proton density fat fraction quantification 下载免费PDF全文
Cheng William Hong MD MS Tanya Wolfson MA Ethan Z. Sy BS Alexandra N. Schlein BS Jonathan C. Hooker BS Soudabeh Fazeli Dehkordy MD MPH Gavin Hamilton PhD Scott B. Reeder MD PhD Rohit Loomba MD MHSc Claude B. Sirlin MD 《Journal of magnetic resonance imaging : JMRI》2018,47(4):988-994
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Spatial distribution of MRI‐determined hepatic proton density fat fraction in adults with nonalcoholic fatty liver disease 下载免费PDF全文
Susanne Bonekamp DVM PhD An Tang MD Arian Mashhood MD Tanya Wolfson MA Christopher Changchien BS Michael S. Middleton MD PhD Lisa Clark MPH PhD Anthony Gamst PhD Rohit Loomba MD Claude B. Sirlin MD 《Journal of magnetic resonance imaging : JMRI》2014,39(6):1525-1532
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S. Newman V. M. Haughton Z. Yetkin R. Breger L. F. Czervionke A. L. Williams K. C. Ho R. A. Papke A. A. Rimm M. E. Fischer G. A. Meyer R. Asleson 《European radiology》1993,3(1):49-52
The possibility that cerebral tumours may be graded by measuring T1 or T2 with magnetic resonance (MR) imaging was studied. A consecutive series of patients with subsequently verified gliomas was enrolled, and studied with MR. Patients who had prior surgical, chemotherapeutic or steroid treatment were excluded. Single slice multiple saturation recovery and multiple spin echo techniques were used to measure T1, T2 and proton density in the tumour. In 33 patients with cerebral gliomas there were 5 grade I, 12 grade II, 7 grade III and 9 grade IV. T1 and T2 values tended to be smaller in grade I gliomas than in grades II, III and IV gliomas. Relaxation parameters overlapped considerably in tumours with different grades. Proton density values did not show much change between different grades of gliomas. Relaxation parameters cannot be used to determine tumour grade reliably.
Correspondence to: S. Newman 相似文献
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An imaging method called "quantification of relaxation times and proton density by twin-echo saturation-recovery turbo-field echo" (QRAPTEST) is presented as a means of quickly determining the longitudinal T(1) and transverse T(2) (*) relaxation time and proton density (PD) within a single sequence. The method also includes an estimation of the B(1) field inhomogeneity. High-resolution images covering large volumes can be achieved within clinically acceptable times of 5-10 min. The range of accuracy for determining T(1), T(2) (*), and PD values is flexible and can be optimized relative to any anticipated values. We validated the experimental results against existing methods, and provide a clinical example in which quantification of the whole brain using 1.5 mm(3) voxels was achieved in less than 8 min. 相似文献
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Schuchmann S Weigel C Albrecht L Kirsch M Lemke A Lorenz G Warzok R Hosten N 《European journal of radiology》2007,62(3):416-422
INTRODUCTION: Even mild hepatic steatosis in a split liver donor may cause general liver failure and death in the donor. So far, CT density measurements or percutaneous biopsy is used to determine the presence of hepatic steatosis. Magnetic resonance imaging (MRI) may be an elegant method of non-invasive and non-radiation quantification of hepatic fat content. METHODS: Fast gradient echo (GRE) technique was used to discriminate between fat and water spins. Echo time (TE) was adjusted for field strength dependent in-phase and out-of-phase states at 1.0, 1.5 and 3.0 T. Continuous MR signal transition from 100% water to 100% fat was investigated using a wedge water-oil phantom, which was positioned in such a way, that no spatial resolution occurred, thereby combining water and fat in one slice. RESULTS: Using the phantom, a significant difference for a 5% difference in fat content was demonstrated in the range from 20 to 80% fat content (p<0.05) for all tested field strengths. In 25 patients MRI data were correlated with the percentage of fat determined by histologic evaluation of a CT-guided liver biopsy. Using the linear correlation calculated from the MRI phantom data at 1.0 T, we determined the liver fat from each patient's MRI measurements. Comparison of these data with the histologic quantified fat fraction of liver tissue showed a strong correlation (r(2)=0.93 for TE 6 ms and r(2)=0.91 for TE 10 ms). CONCLUSION: The described method can be used to determine the presence of hepatic steatosis of >10% with p<0.05. 相似文献
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Mustafa R. Bashir Tanya Wolfson Anthony C. Gamst Kathryn J. Fowler Michael Ohliger Shetal N. Shah Adina Alazraki Andrew T. Trout Cynthia Behling Daniela S. Allende Rohit Loomba Arun Sanyal Jeffrey Schwimmer Joel E. Lavine Wei Shen James Tonascia Mark L. Van Natta Adrija Mamidipalli Jonathan Hooker Kris V. Kowdley Michael S. Middleton Claude B. Sirlin 《Journal of magnetic resonance imaging : JMRI》2019,49(5):1456-1466
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Hijona E Sánchez-González J Alústiza JM Hijona L Arenas J García E Rojas N Portillo MP Jiménez R Aldazabal P Bujanda L 《European journal of radiology》2012,81(6):1122-1127
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To assess the diagnostic accuracy of a new reconstruction technique for gradient-recalled-echo magnetic resonance (MR) sequences that provides a full decomposition of the water and fat content inside a voxel for nonalcoholic fatty liver disease (NAFLD) in rats.Material and methods
Rats were randomized into two groups. A control group (n = 10) was given free access to regular dry rat chow for 4 weeks. The steatosis (n = 40) group was given free access to feed and water 4 days per week, and fasted for the remaining 3 days for 4 weeks. All rats were killed at 4 weeks and assessed for fatty infiltration and biochemical method.Results
The average fat content using the gold standard method was 2.65 g (2.20–3.05) of fat/100 g liver for the control group and 4.14 g (1.95–8.60) of fat/100 g of liver for the overfed group (p < 0.05). The average fat-fraction obtained from the MR was 0.016 (0.01–0.02) for the control group and 0.057 (0.00–0.18) for the overfed group. The Pearson correlation coefficient between the samples was r2 = 0.87.Conclusion
Multi-echo MR is a good technique to quantify liver fat in rats. 相似文献17.
In vivo breath‐hold 1H MRS simultaneous estimation of liver proton density fat fraction,and T1 and T2 of water and fat,with a multi‐TR,multi‐TE sequence 下载免费PDF全文
Gavin Hamilton PhD Michael S. Middleton MD PhD Jonathan C. Hooker BSc William M. Haufe BSc Nketi I. Forbang MD MPH Matthew A. Allison MD MPH Rohit Loomba MD Claude B. Sirlin MD 《Journal of magnetic resonance imaging : JMRI》2015,42(6):1538-1543
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Effect of flip angle on the accuracy and repeatability of hepatic proton density fat fraction estimation by complex data‐based,T1‐independent,T2*‐corrected,spectrum‐modeled MRI 下载免费PDF全文
Benjamin L. Johnson MD Michael E. Schroeder MBA Tanya Wolfson MA Anthony C. Gamst PhD Gavin Hamilton PhD Masoud Shiehmorteza MD Rohit Loomba MD MHSc Jeffrey B. Schwimmer MD Scott Reeder MD PhD Michael S. Middleton MD PhD Claude B. Sirlin MD 《Journal of magnetic resonance imaging : JMRI》2014,39(2):440-447
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Cross‐sectional correlation between hepatic R2* and proton density fat fraction (PDFF) in children with hepatic steatosis 下载免费PDF全文
Adrija Mamidipalli MBBS Gavin Hamilton PhD Paul Manning MD Cheng William Hong MD MS Charlie C. Park BS Tanya Wolfson MA Jonathan Hooker BSc Elhamy Heba MD Alexandra Schlein BSc Anthony Gamst PhD Janis Durelle BS Melissa Paiz BS RN Michael S. Middleton MD PhD Jeffrey B. Schwimmer MD Claude B. Sirlin MD 《Journal of magnetic resonance imaging : JMRI》2018,47(2):418-424