作者
Qiang Zhang, Matthew K Burrage, Mayooran Shanmuganathan, Ricardo A Gonzales, Elena Lukaschuk, Katharine E Thomas, Rebecca Mills, Joana Leal Pelado, Chrysovalantou Nikolaidou, Iulia A Popescu, Yung P Lee, Xinheng Zhang, Rohan Dharmakumar, Saul G Myerson, Oliver Rider, Oxford Acute Myocardial Infarction (OxAMI) Study, Keith M Channon, Stefan Neubauer, Stefan K Piechnik, Vanessa M Ferreira
发表日期
2022/11/15
期刊
Circulation
卷号
146
期号
20
页码范围
1492-1503
出版商
Lippincott Williams & Wilkins
简介
Background
Myocardial scars are assessed noninvasively using cardiovascular magnetic resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast-free approach would provide many advantages, including a faster and cheaper scan without contrast-associated problems.
Methods
Virtual native enhancement (VNE) is a novel technology that can produce virtual LGE-like images without the need for contrast. VNE combines cine imaging and native T1 maps to produce LGE-like images using artificial intelligence. VNE was developed for patients with previous myocardial infarction from 4271 data sets (912 patients); each data set comprises slice position-matched cine, T1 maps, and LGE images. After quality control, 3002 data sets (775 patients) were used for development and 291 data sets (68 patients) for testing. The VNE generator was trained using generative adversarial networks …
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