Dynamic Programming-based Automatic Myocardial Quantification from The Gated SPECT Myocardial Perfusion Imaging

Shaojie Tang, Jin-Long Huang, Guang-Uei Hung, Shih-Chuan Tsai, Cheng Wang, Dianfu Li, Weihua Zhou


Published in:Fully3D 2017 Proceedings


SPECT, MPI, automatic quantification, left-ventricular ejection fraction, dynamic programming
The gated single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is a widely established method to assess left-ventricular (LV) functions and diagnose coronary artery disease in western countries. Software packages for automatic quantification from SPECT MPI have been developed in order to make the interpretations more standardized. However, it has been frequently reported that there are underestimation of end-systolic volume (ESV) and overestimation of LV ejection fraction (EF), especially for the eastern Asian female patients with a small heart. Having recognized the superiority of an optimization-based approach, in this study we developed a dynamic programming-based automatic quantification method for the gated SPECT MPI. Our method was successfully tested with real patients and some of them have small hearts.  The preliminary results demonstrated that it performed well when compared with the QGS program and echocardiography as a reference standard.
Shaojie Tang
School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi
Jin-Long Huang
Cardiovascular center, Taichung Veterans General Hospital, Taichung, Taiwan
Guang-Uei Hung
Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
Shih-Chuan Tsai
Department of Nuclear Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
Cheng Wang
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu
Dianfu Li
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu
Weihua Zhou
School of Computing, University of Southern Mississippi, Long Beach, MS
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