NDLI: Registration of cardiac magnetic resonance perfusion data as a basis for quantification of myocardial perfusion

Content Provider	IEEE Xplore Digital Library
Author	Kachenoura, N. Cluzel, P. Grenier, P. Cuenod, C.A. Frouin, F. Balvay, D.
Copyright Year	2009
Description	Author affiliation: Inserm U970/ LRI, Descartes University, Paris, France (Cuenod, C.A.; Balvay, D.) \|\| Inserm U678/ UPMC, Paris, France (Kachenoura, N.; Cluzel, P.; Grenier, P.; Frouin, F.)
Abstract	Quantification of cardiac magnetic resonance (CMR) myocardial perfusion remains time consuming since it requires manual intervention to compensate for motion. Thus, the aim of this study was to test an automated registration method. We studied 10 patients who had rest and stress CMR perfusion exams. For both exams, three short-axis slices were selected. Then, a rigid edge based registration algorithm was performed. Its quality was assessed 1) qualitatively by comparing the k-means clustering maps obtained before and after registration. 2) quantitatively by estimating noise amplitude within the myocardium. Registration substantially improved myocardial symmetry and heart structures identification on the k-means maps in 12/16 slices at rest and 22/27 slices at stress. It reduced noise amplitude from 48±26 to 28±10 at rest (p≪0.05) and from 53±13 to 31±10 during stress (p≪0.05). Our method performed successfully on both rest and stress CMR perfusion data.
Starting Page	265
Ending Page	268
File Size	333321
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Magnetic resonance Myocardium Stress Heart Noise level Coronary arteriosclerosis Radiology Hospitals Magnetic resonance imaging Automatic testing
Content Type	Text
Resource Type	Article

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