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Article

Convolutional Neural Network in the Evaluation of Myocardial Ischemia from CZT SPECT Myocardial Perfusion Imaging: Comparison to Automated Quantification

1
Department of Nuclear Medicine, Chang Gung Memorial Hospital, Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
2
Institute of Statistics, National Chiao Tung University, Hsinchu 300, Taiwan
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2021, 11(2), 514; https://doi.org/10.3390/app11020514
Received: 28 November 2020 / Revised: 25 December 2020 / Accepted: 28 December 2020 / Published: 7 January 2021
(This article belongs to the Special Issue Advanced Image Analysis and Processing for Biomedical Applications)
This study analyzes CZT SPECT myocardial perfusion images that are collected at Chang Gung Memorial Hospital, Kaohsiung Medical Center in Kaohsiung. This study focuses on the classification of myocardial perfusion images for coronary heart diseases by convolutional neural network techniques. In these gray scale images, heart blood flow distribution contains the most important features. Therefore, data-driven preprocessing is developed to extract the area of interest. After removing the surrounding noise, the three-dimensional convolutional neural network model is utilized to classify whether the patient has coronary heart diseases or not. The prediction accuracy, sensitivity, and specificity are 87.64%, 81.58%, and 92.16%. The prototype system will greatly reduce the time required for physician image interpretation and write reports. It can assist clinical experts in diagnosing coronary heart diseases accurately in practice. View Full-Text
Keywords: cardiovascular diseases; myocardial perfusion image; machine learning; convolutional neural network cardiovascular diseases; myocardial perfusion image; machine learning; convolutional neural network
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MDPI and ACS Style

Chen, J.-J.; Su, T.-Y.; Chen, W.-S.; Chang, Y.-H.; Lu, H.H.-S. Convolutional Neural Network in the Evaluation of Myocardial Ischemia from CZT SPECT Myocardial Perfusion Imaging: Comparison to Automated Quantification. Appl. Sci. 2021, 11, 514. https://doi.org/10.3390/app11020514

AMA Style

Chen J-J, Su T-Y, Chen W-S, Chang Y-H, Lu HH-S. Convolutional Neural Network in the Evaluation of Myocardial Ischemia from CZT SPECT Myocardial Perfusion Imaging: Comparison to Automated Quantification. Applied Sciences. 2021; 11(2):514. https://doi.org/10.3390/app11020514

Chicago/Turabian Style

Chen, Jui-Jen, Ting-Yi Su, Wei-Shiang Chen, Yen-Hsiang Chang, and Henry H.-S. Lu. 2021. "Convolutional Neural Network in the Evaluation of Myocardial Ischemia from CZT SPECT Myocardial Perfusion Imaging: Comparison to Automated Quantification" Applied Sciences 11, no. 2: 514. https://doi.org/10.3390/app11020514

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