Respiratory Motion and Correction Simulation Platform for Coronary MR Angiography
Author:
Affiliation:
1. School of Information Science, NAIST
2. Kyoto University Hospital
3. Toshiba Medical Systems
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E96.D/1/E96.D_111/_pdf
Reference11 articles.
1. [1] E.A. Zerhouni, D.M. Parish, W.J. Rogers, A. Yang, and E.P. Shapiro, “Human heart: Tagging with MR imaging-a method for noninvasive assessment of myocardial motion,” Radiology, vol.169, pp.59-63, 1988.
2. [2] A.M. Taylor, J. Keegan, P. Jhooti, D.N. Firmin, and D.J. Pennell, “Calculation of a subject-specific adaptive motion-correction factor for improved real-time navigator echo-gated magnetic resonance coronary angiography,” J Cardiovasc Magn Reson, vol.1, pp.131-138, 1999.
3. [3] R.W. Fischer, R.M. Botnar, K. Nehrke, P. Boesiger, W.J. Manning, and D.C. Peters, “Analysis of residual coronary artery motion for breath hold and navigator approaches using real-time coronary MRI.,” Magn Reson Med, vol.55, pp.612-618, 2006.
4. [4] K. Nehrke and P. Bornert, “Prospective correction of affine motion for arbitrary MR sequences on a clinical scanner,” Magn Reson Med, vol.54, pp.1130-1138, Nov. 2005.
5. [5] D. Manke, K. Nehrke, P. Bornert, P. Rosch, and O. Dossel, “Respiratory motion in coronary magnetic resonance angiography: A comparison of different motion models,” J Magn Reson Imaging, vol.15, pp.661-671, 2002.
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