Performance of computed tomography-derived fractional flow reserve using reduced-order modelling and static computed tomography stress myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis

Abdul Rahman Ihdayhid, Takuya Sakaguchi, Jesper J. Linde, Mathias H. Sørgaard, Klaus F. Kofoed, Yasuko Fujisawa, Jacqui Hislop-Jambrich, Nitesh Nerlekar, James D. Cameron, Ravi K. Munnur, Marcus Crosset, Dennis T.L. Wong, Sujith K. Seneviratne, Brian S. Ko*

*Corresponding author for this work
12 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Performance of computed tomography-derived fractional flow reserve using reduced-order modelling and static computed tomography stress myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis'. Together they form a unique fingerprint.

Medicine & Life Sciences