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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Betancur, J. Simon, A. Tavard, F. Langella, B. Leclercq, C. Garreau, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Centre Cardio-Pneumologique, CHU, Rennes, France (Langella, B.) || INSERM, U 1099, Rennes, France (Betancur, J.; Simon, A.; Tavard, F.; Leclercq, C.; Garreau, M.) |
| Abstract | The purpose of this work is to include tissue and dynamic information from cardiac magnetic resonance (CMR) sequences in a previously proposed fusion framework aiming to optimize Cardiac Resynchronization Therapy (CRT). To do so, the 3D iconic registration between 3D+t cardiac MR and 3D+t cardiac computed tomography (CT) sequences is explored. Two rigid registration approaches have been evaluated: end-diastole (ED) images registration and dynamical time warping (DTW) based registration. DTW is used to align both sequences in time. They are tested on five patients that underwent for CRT. Quantitative evaluation has been performed using the dice score between ED delineations of left ventricle (LV). An average error of 4.71% (std 4.58%) is obtained for ED registration. For DTW registration, an average error of 2.68% (std 2.76%) is obtained using the normalized correlation curves of MR and CT sequences. These results demonstrate the feasibility to perform a 3D registration of MR and CT sequences without the need of temporal interpolation. |
| Starting Page | 701 |
| Ending Page | 704 |
| File Size | 1043547 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467320764 |
| ISSN | 2325887X |
| e-ISBN | 9781467320771 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-09 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Creative Commons Attribution License 2.5 (CCAL) |
| Subject Keyword | Computed tomography Measurement Transforms Medical treatment Optimization Heart Electrocardiography |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Cardiology and Cardiovascular Medicine |
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