NDLI: A novel CAD system for analyzing cardiac first-pass MR images

Content Provider	IEEE Xplore Digital Library
Author	Khalifa, F. Beache, G.M. Gimel'farb, G. El-Baz, A.
Copyright Year	2012
Description	Author affiliation: BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, USA (Khalifa, F.; El-Baz, A.) \|\| Department of Computer Science, University of Auckland, Auckland, New Zealand (Gimel'farb, G.) \|\| Radiology Department, School of Medicine, University of Louisville, Louisville, KY, USA (Beache, G.M.)
Abstract	We propose a novel framework for the analysis of myocar-dial transit of contrast agent on cardiac first-pass magnetic resonance imaging (FP-MRI). Significant shape changes of the left ventricle (LV) due to heart contraction and respiratory motion limit accurate quantification of perfusion parameters on time series data. To account for the rigid and nonrigid deformations of the heart, we developed a registration methodology for the segmented LV that includes: (i) an initial affine-based registration, (ii) a local B-splines based alignment to maximize a similarity metric that accounts for the $1^{st}-$ and $2^{nd}-order$ normalized mutual information (NMI) between the globally aligned frames, followed by (iii) a refinement registration step that deforms each pixel of the target wall over evolving iso-contours to closely match the reference wall based on solving Laplace equation. Finally, from contrast agent kinetic curves, obtained from the co-aligned frames, four perfusion indexes — peak signal intensity, time-to-peak, initial up-slope, and the average signal change of the slowly varying agent delivery phase — are determined. To depict regional perfusion, we computed pixel-by-pixel parametric maps for the derived indexes. We have tested our framework on 24 FP-MRI data sets that have been collected from 8 patients with ischemic damage from heart attacks, who are undergoing a novel myoregeneration therapy and have documented an improvement in the visualization and display of treatment effects.
Starting Page	77
Ending Page	80
File Size	460911
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Indexes Magnetic resonance imaging Heart Time series analysis Myocardium Measurement Splines (mathematics)
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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