Dov Eilot1, Roman Goldenberg. 1. Rcadia Medical Imaging, 157 Yafo Str., 35251 , Haifa, Israel, dov.eilot@gmail.com.
Abstract
PURPOSE: The paper presents new methods for automatic coronary calcium detection, segmentation and scoring in coronary CT angiography (cCTA) studies. METHODS: Calcium detection and segmentation are performed by modeling image intensity profiles of coronary arteries. The scoring algorithm is based on a simulated unenhanced calcium score (CS) CT image, constructed by virtually removing the contrast media from cCTA. The methods are implemented as part of a fully automatic system for CS assessment from cCTA. RESULTS: The system was tested in two independent clinical trials on 263 studies and demonstrated 0.95/0.91 correlation between the CS computed from cCTA and the standard Agatston score derived from unenhanced CS CT. The mean absolute percent difference (MAPD) of 36/39 % between the two scores lies within the error range of the standard CS CT (15-65 %). CONCLUSIONS: High diagnostic performance, combined with the benefits of the fully automatic solution, suggests that the proposed technique can be used to eliminate the need in a separate CS CT scan as part of the cCTA examination, thus reducing the radiation exposure and simplifying the procedure.
PURPOSE: The paper presents new methods for automatic coronary calcium detection, segmentation and scoring in coronary CT angiography (cCTA) studies. METHODS:Calcium detection and segmentation are performed by modeling image intensity profiles of coronary arteries. The scoring algorithm is based on a simulated unenhanced calcium score (CS) CT image, constructed by virtually removing the contrast media from cCTA. The methods are implemented as part of a fully automatic system for CS assessment from cCTA. RESULTS: The system was tested in two independent clinical trials on 263 studies and demonstrated 0.95/0.91 correlation between the CS computed from cCTA and the standard Agatston score derived from unenhanced CS CT. The mean absolute percent difference (MAPD) of 36/39 % between the two scores lies within the error range of the standard CS CT (15-65 %). CONCLUSIONS: High diagnostic performance, combined with the benefits of the fully automatic solution, suggests that the proposed technique can be used to eliminate the need in a separate CS CT scan as part of the cCTA examination, thus reducing the radiation exposure and simplifying the procedure.
Authors: James M Otton; Jacob T Lønborg; David Boshell; Michael Feneley; Andrew Hayen; Neville Sammel; Ken Sesel; Lourens Bester; Jane McCrohon Journal: J Cardiovasc Comput Tomogr Date: 2011-11-20
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Authors: Ullrich Ebersberger; Dov Eilot; Roman Goldenberg; Alon Lev; J Reid Spears; Garrett W Rowe; Nicholas Y Gallagher; William T Halligan; Philipp Blanke; Marcus R Makowski; Aleksander W Krazinski; Justin R Silverman; Fabian Bamberg; Alexander W Leber; Ellen Hoffmann; U Joseph Schoepf Journal: Eur Radiol Date: 2012-09-16 Impact factor: 5.315
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