A method to quantify the regional contrast enhancement as imaged during MDCT coronary angiography was developed. The procedure is based on the following steps: 1) Long axis reformatting and interactive selection of ventricular volume; 2) Normalization of image gray levels; 3) Extraction of the LV cavity by thresholding and blob growing; 4) LV segmentation by Fast Marching Level Set algorithm; 5) Building of bull-eye maps of the spatial distribution of contrast medium in the myocardium. The method was tested on a dataset including the scans from 10 patients with different perfusion defects. In 5 infarcted patients PET [ 13N] Ammonia scans were also performed: polar maps by CT imaging demonstrated well-defined regional perfusion defects consistent with PET imaging results.

Assessment of myocardial perfusion with multi-detector Computed Tomography

DICIOTTI, STEFANO;
2008

Abstract

A method to quantify the regional contrast enhancement as imaged during MDCT coronary angiography was developed. The procedure is based on the following steps: 1) Long axis reformatting and interactive selection of ventricular volume; 2) Normalization of image gray levels; 3) Extraction of the LV cavity by thresholding and blob growing; 4) LV segmentation by Fast Marching Level Set algorithm; 5) Building of bull-eye maps of the spatial distribution of contrast medium in the myocardium. The method was tested on a dataset including the scans from 10 patients with different perfusion defects. In 5 infarcted patients PET [ 13N] Ammonia scans were also performed: polar maps by CT imaging demonstrated well-defined regional perfusion defects consistent with PET imaging results.
COMPUTERS IN CARDIOLOGY 2008
533
536
Coppini G; Favilla B; Barbagli B; Diciotti S; Lombardo S; Schlueter M; Salvatori L; Canapini C; Neglia D; Marraccini P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/353783
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