Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT

Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT

Abstract Background Detecting culprit coronary arteries in patients with ischemia using only myocardial perfusion single-photon emission computed tomography (SPECT) can be challenging. This study aimed to improve the detection of culprit regions using an artificial neural network (ANN) to analyze hy...

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Bibliographic Details
Main Authors: Hiroto Yoneyama, Kenichi Nakajima, Junichi Taki, Hiroshi Wakabayashi, Shinro Matsuo, Takahiro Konishi, Koichi Okuda, Takayuki Shibutani, Masahisa Onoguchi, Seigo Kinuya
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:European Journal of Hybrid Imaging
Subjects:
Cardiac evaluation
Nuclear cardiology
Ischemia
Computer-aided diagnosis
Neural network
Online Access:http://link.springer.com/article/10.1186/s41824-019-0052-8

Internet

http://link.springer.com/article/10.1186/s41824-019-0052-8

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