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Zurich Open Repository and Archive 

Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-32884

Stolzmann, P; Alkadhi, H; Scheffel, H; Hennemuth, A; Kuehnel, C; Baumueller, S; Kozerke, S; Falk, V; Marincek, B; Donati, O F (2010). Image fusion of coronary CT angiography and cardiac perfusion MRI: a pilot study. European Radiology, 20(5):1174-1179.

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Abstract

OBJECTIVE: To develop a tool for the image fusion of computed tomography coronary angiography (CTCA) and cardiac magnetic resonance imaging (CMR). METHODS: Surface representations and volume-rendered images from fused CTCA/CMR data of five patients with significant coronary artery disease (CAD) on CTCA and perfusion deficits on CMR were generated using a newly developed software prototype. The spatial relationship of significant coronary artery stenosis at CTCA and myocardial defects at CMR was evaluated. RESULTS: Registration of CTCA and CMR images was possible in all patients. The comprehensive three-dimensional visualisation of fused CTCA and CMR data accurately demonstrated the relationship between coronary artery stenoses and myocardial defects in all patients. CONCLUSION: The introduced tool enables image fusion of CTCA and CMR data sets and allows for correct superposition of the coronary arteries derived from CTCA onto the corresponding myocardial segments derived from CMR. The method facilitates the comprehensive assessment of the functionally relevant CAD by the exact allocation of culprit coronary stenoses to corresponding myocardial defects at a low radiation dose.

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Cardiovascular Surgery
04 Faculty of Medicine > University Hospital Zurich > Clinic for Diagnostic and Interventional Radiology
04 Faculty of Medicine > Institute of Biomedical Engineering
DDC:170 Ethics
610 Medicine & health
Language:English
Date:May 2010
Deposited On:21 Mar 2010 11:24
Last Modified:01 Dec 2013 22:12
Publisher:Springer
ISSN:0938-7994
Publisher DOI:10.1007/s00330-010-1746-2
PubMed ID:20204639
Citations:Web of Science®. Times Cited: 5
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Scopus®. Citation Count: 5

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