DocumentCode
724933
Title
Cardiac MRI derived epicardial fat maps to assist VT ablation procedures for subjects with implantable devices
Author
Zimmermann, Judith ; Rashid, Shams ; Peng Hu ; Katouzian, Amin ; Navab, Nassir ; Ennis, Daniel B.
Author_Institution
Dept. of Radiol. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear
2015
fDate
16-19 April 2015
Firstpage
747
Lastpage
750
Abstract
Cardiac electroanatomical mapping (EAM) to locate myocardial scar substrate during ventricular tachycardia (VT) ablation therapy is currently faced with a major limitation. The presence of epicardial fat leads to false-positive low-voltage maps that may interpreted as myocardial scar. Pre-procedural cardiac magnetic resonance (CMR) imaging can produce images of the heart in which both cardiac geometry and epicardial fat are particularly conspicuous. The goal of the present work is to build CMR based geometric models composed of a shell of the cardiac anatomy and epicardial fat. Herein, we first defined a black-blood imaging protocol that is feasible in patients with implanted devices. Then a semi-automated image segmentation method was developed and applied to extract ventricular surface anatomy and epicardial fat maps from which three-dimensional surfaces were built. The results suggest that deriving maps of epicardial fat from MRI data is feasible, accurate when compared to expert observers, and suitable for integration in a clinical catheter-based ablation procedure.
Keywords
biomedical MRI; blood; cardiology; catheters; fats; image segmentation; medical image processing; radiation therapy; black-blood imaging protocol; cardiac MRI derived epicardial fat maps; cardiac electroanatomical mapping; cardiac geometry; clinical catheter-based ablation procedure; false-positive low-voltage maps; implantable devices; myocardial scar substrate; preprocedural cardiac magnetic resonance imaging; semiautomated image segmentation method; three-dimensional surfaces; ventricular surface anatomy; ventricular tachycardia ablation therapy; Blood; Image segmentation; Low voltage; Magnetic resonance imaging; Myocardium; Protocols; Cardiac MRI; Epicardial Fat; Image Based Modeling; Image Segmentation; Implantable Cardioverter Defibrillators;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location
New York, NY
Type
conf
DOI
10.1109/ISBI.2015.7163980
Filename
7163980
Link To Document