Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data

被引：2

作者：

Sandfort, Veit ^{[1
]}

Willemink, Martin J. ^{[1
]}

Codari, Marina ^{[1
]}

Mastrodicasa, Domenico ^{[1
]}

Fleischmann, Dominik ^{[1
]}

机构：

[1] Stanford Univ, Sch Med, Dept Radiol, 300 Pasteur Dr,S-072, Stanford, CA 94305 USA

来源：

RADIOLOGY-ARTIFICIAL INTELLIGENCE | 2024年 / 6卷 / 02期

关键词：

Cardiac CT; Angiography; Deep Learning; Image Denoising;

D O I：

10.1148/ryai.230153

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Deep learning-based denoising of dose-modulated cardiac CT an-giographic examinations using a three-dimensional approach resulted in excellent image quality compared with conventional methods, and left ventricular segmentation on the denoised images were strongly correlated with expert manual segmentations

引用

页数：6

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