A New Method to Automatically Identify Left-ventricular Contours from The Gated SPECT Myocardial Perfusion Imaging

Cheng Wang, Shaojie Tang, Haipeng Tang, Rui Gao, Dianfu Li, Weihua Zhou

DOI:10.12059/Fully3D.2017-11-3202024

Published in:Fully3D 2017 Proceedings

Pages:484-487

Keywords:
SPECT, myocardial perfusion imaging, left ventricle, dynamic programming
Several software packages have been commercially available for the automated quantification of left-ventricular (LV) myocardial viability and mechanical dyssynchrony from the gated SPECT myocardial perfusion imaging (MPI). However, the identification of LV contours is a major issue to influence the reproducibility of the quantification tools. In this paper we present a new method which can automatically identify the LV contours by dynamical programming. The validation with patients suggested that the results of our new method were significantly correlated with those by the technologist.
 
Cheng Wang
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical Univ., Nanjing, Jiangsu, China
Shaojie Tang
School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China
Haipeng Tang
School of Computing, University of Southern Mississippi, Long Beach, MS, USA
Rui Gao
Department of Nuclear Medicine, The First Affiliated Hospital of Xi’an Jiaotong Univ., Xi'an, Shaanxi, China
Dianfu Li
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical Univ., Nanjing, Jiangsu, China
Weihua Zhou
School of Computing, University of Southern Mississippi, Long Beach, MS, USA
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