Work

Dynamic CT myocardial perfusion imaging: detection of ischemia in a porcine model with FFR verification

Year: 2014

Type: conference-paper

Abstract: , Philips Healthcare). Processing included: beam hardening (BH) correction, registration of image volumes using 3D cubic B-spline normalized mutual-information, and spatio-temporal bilateral filtering to reduce partial scan artifacts and noise variation. Absolute blood flow was calculated with a deconvolution-based approach using singular value decomposition (SVD). Arterial input function was estimated from the left ventricle (LV) cavity. Regions of interest (ROIs) were identified in healthy and ischemic myocardium and compared in normal and occluded conditions. Under-perfusion was detected in the correct LAD territory and flow reduction agreed well with FFR measurements. Flow was reduced, on average, in LAD territories by 54%.

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2043800

Authors: Rachid Fahmi, Brendan L. Eck, Mani Vembar, Hiram G. Bezerra, David L. Wilson

Institutions: Case Western Reserve University, University Hospitals of Cleveland, University Hospitals Cleveland Medical Center

Language: English

Topic: Cardiac Imaging and Diagnostics

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Heart, Lung, and Blood Institute, National Institute of Biomedical Imaging and Bioengineering