Pulse Sequences and Reconstruction in Fast MR Imaging of the Liver
Author:
Affiliation:
1. Department of Radiological Sciences, School of Healthcare Sciences at Narita, International University of Health and Welfare
2. Department of Radiology, School of Medicine, International University of Health and Welfare
Publisher
Japanese Society for Magnetic Resonance in Medicine
Subject
Radiology, Nuclear Medicine and imaging
Link
https://www.jstage.jst.go.jp/article/mrms/22/2/22_rev.2022-0114/_pdf
Reference54 articles.
1. 1. Kabasawa H. MR imaging in the 21st century: technical innovation over the first two decades. Magn Reson Med Sci 2022; 21:71–82.
2. 2. Bojorquez JZ, Bricq S, Acquitter C, Brunotte F, Walker PM, Lalande A. What are normal relaxation times of tissues at 3T? Magn Reson Imaging 2017; 35:69–80.
3. 3. Unger EC, Cohen MS, Gatenby RA, et al. Single breath-holding scans of the abdomen using FISP and FLASH at 1.5T. J Comput Assist Tomogr 1988; 12:575–583.
4. 4. Hargreaves BA. Rapid gradient-echo imaging. J Magn Reson Imaging 2012; 36:1300–1313.
5. 5. Low RN, Francis IR, Herfkens RJ, et al. Fast multiplanar spoiled gradient-recalled imaging of the liver: pulse sequence optimization and comparison with spin-echo MR imaging. AJR Am J Roentgenol 1993; 160:501–509.
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