NDLI: Automated cardiac pose computation from reconstructed myocardial SPECT images

Content Provider	IEEE Xplore Digital Library
Author	Dwivedi, S. Hongjie Liang Jinghan Ye Da Silva, A.J. Wong, A. Gervais, A. Flowers, S. Hines, H. Lingxiong Shao
Copyright Year	2011
Abstract	A method to automatically compute cardiac pose from 3D reconstructed cardiac SPECT images is presented. Cardiac region of interest (ROI) is generated from input volume as the first step. Left ventricle is then segmented from the ROI and myocardial pruning algorithm is applied to remove unnecessary myocardial mass at the top and the bottom. Pruned myocardial binary mask is subjected to a myocardial clusterification-based skeletonization process. Skeleton of the myocardium is cleaned using a novel distance transform and binning-based histogram cleaning algorithm. Blood pool enclosed within the myocardial walls is iteratively segmented to compute the center of mass (COM) of the left ventricle. An ellipsoid fitting algorithm along with the COM is then employed on the myocardial skeleton to determine the cardiac angles. The method achieves a success rate of 94.4% when evaluated on 643 reconstructed volumes from 331 patients.
Starting Page	2787
Ending Page	2794
File Size	2803185
Page Count	8
File Format	PDF
ISBN	9781467301183
ISSN	10823654
e-ISBN	9781467301206
DOI	10.1109/NSSMIC.2011.6153640
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Myocardium Heart rate Fitting Cleaning Image reconstruction
Content Type	Text
Resource Type	Article

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