In cardiovascular disease, relating a coronary stenosis to a cardiac perfusion defect is of importance for selecting and planning the proper treatment. However, this is challenging owing to the high anatomical variability of the coronary arteries between patients. Anatomical and functional imaging is routinely obtained from multiple imaging modalities. The goal of the work described in this thesis is to develop and evaluate techniques to quantify cardiac and coronary geometry from computed tomography angiography (CTA), and to combine this anatomical information with functional information extracted from either perfusion magnetic resonance imaging (MRI) or single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI) to support diagnosis and therapy planning in coronary artery disease (CAD). In the remainder of this chapter, the cardiac anatomy and pathologies will be introduced (Section 1.1 and 1.2), and the imaging techniques currently used to assess coronary artery disease will be presented in Section 1.3, with a highlight on hybrid imaging. Following the introduction, an outline of this thesis is proposed in Section 1.4

, , , , ,
The work in this thesis was conducted at the Departments of Radiology and Medical Informatics of the Erasmus MC, University Medical Center, Rotterdam, The Netherlands and was financially supported by the Dutch Ministry of Economic Affairs (AgentschapNL) under the title "‘Het Hart in Drie Dimensies"’ (PID06003). Financial support by Cardialysis BV (Rotterdam, the Netherlands) Medis medical imaging systems BV (Leiden, the Netherlands) Ecole du Ski Français Chamonix (Chamonix-Mont-Blanc, France) for the publication of this thesis is gratefully acknowledged. Additional financial support for the publication of this thesis was generously provided by the Department of Radiology, Erasmus MC; Erasmus University Rotterdam and the ASCI graduate school.
W.J. Niessen (Wiro) , J.H.C. Reiber (Johan)
Erasmus University Rotterdam
ASCI dissertation series
Erasmus MC: University Medical Center Rotterdam

Kirisli, H. (2013, June 14). CTA Quantification and Multi-modal Visualization for Assessing Coronary Artery Disease (No. 274). ASCI dissertation series. Retrieved from