Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms
Author:
Publisher
Oxford University Press (OUP)
Subject
Computer Science Applications,Health Informatics
Link
http://link.springer.com/content/pdf/10.1186/2047-217X-3-23.pdf
Reference31 articles.
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2. Jerosch-Herold M:Quantification of myocardial perfusion by cardiovascular magnetic resonance. J Cardiov Magn Reson. 2010, 12: 57-10.1186/1532-429X-12-57.
3. Gupta SN, Solaiyappan M, Beache GM, Arai AE, Foo TKF:Fast method for correcting image misregistration due to organ motion in time-series mri data. Magn Reson Med. 2003, 49: 506-514. 10.1002/mrm.10394.
4. Dornier C, Ivancevic MK, Thevenaz P, Vallee J-P:Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm. J Magn Reson Imag. 2003, 18 (2): 160-168. 10.1002/jmri.10351.
5. Milles J, van der Geest RJ, Jerosch-Herold M, Reiber JH, Lelieveldt BP:Fully automated registration of first-pass myocardial perfusion MRI using independent component analysis. Inf Process Med Imaging. 2007, 20: 544-555.
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