Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling

Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR derived from coronary CT angiography based on computational fluid dynamics (hereafter, FFR ) and FFR derived from coronary CT angiography based on...

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Podrobná bibliografia

Vydané v:	Radiology Ročník 288; číslo 1; s. 171291
Hlavní autori:	Tesche, Christian, De Cecco, Carlo N, Baumann, Stefan, Renker, Matthias, McLaurin, Tindal W, Duguay, Taylor M, Bayer, 2nd, Richard R, Steinberg, Daniel H, Grant, Katharine L, Canstein, Christian, Schwemmer, Chris, Schoebinger, Max, Itu, Lucian M, Rapaka, Saikiran, Sharma, Puneet, Schoepf, U Joseph
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.07.2018
ISSN:	1527-1315, 1527-1315
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