https://scholars.lib.ntu.edu.tw/handle/123456789/624397
標題: | Polar map-free 3D deep learning algorithm to predict obstructive coronary artery disease with myocardial perfusion CZT-SPECT | 作者: | CHI-LUN KO Lin, Shau-Syuan Huang, Cheng-Wen Chang, Yu-Hui KUAN-YIN KO MEI-FANG CHENG Wang, Shan-Ying CHUNG-MING CHEN YEN-WEN WU |
關鍵字: | Artificial intelligence; Cadmium-zinc-telluride; Coronary artery disease; Deep learning; Myocardial perfusion imaging | 公開日期: | 14-一月-2023 | 出版社: | SPRINGER | 卷: | 50 | 期: | 2 | 起(迄)頁: | 376 | 來源出版物: | European journal of nuclear medicine and molecular imaging | 摘要: | Deep learning (DL) models have been shown to outperform total perfusion deficit (TPD) quantification in predicting obstructive coronary artery disease (CAD) from myocardial perfusion imaging (MPI). However, previously published methods have depended on polar maps, required manual correction, and normal database. In this study, we propose a polar map-free 3D DL algorithm to predict obstructive disease. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/624397 | ISSN: | 1619-7070 | DOI: | 10.1007/s00259-022-05953-z |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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