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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tavard, F. Simon, A. Hernandez, A.I. Betancur, J. Donal, E. Garreau, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: INSERM, U1099, Rennes, F-35000, France (Tavard, F.; Simon, A.; Hernandez, A.I.; Betancur, J.; Donal, E.; Garreau, M.) |
| Abstract | Cardiac Resynchronization Therapy (CRT) can be optimized by the fusion of anatomical, functional and electrical information in a unified framework in order to identify the most effective pacing sites. The aim of this work is to perform a registration between dynamic CT and ultrasound (US) images (2D speckle tracking mode). The proposed registration approach is based on a contour to surface scheme, decomposed in four steps: (1) the temporal synchronization of data; (2) the segmentation of the left ventricle endocardial surface from the 3D+t CT data; (3) the segmentation and tracking of the myocardium from the 2D+t US data; (4) the registration of US contour with the CT surface. The originality of the method relies on the use of Fourier descriptors and Dynamic Time Warping (DTW) to handle different spatial and temporal resolutions as well as dissimilar cardiac rhythms between CT and US data. An evaluation on simulated data is described as well as results obtained on three patient databases. |
| Starting Page | 198 |
| Ending Page | 203 |
| File Size | 810574 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467325851 |
| ISSN | 2154512X |
| e-ISBN | 9781467325844 |
| DOI | 10.1109/IPTA.2012.6469516 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-15 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Image segmentation 2D US speckle tracking Computed tomography Multimodal registration Fourier descriptors cardiac imaging Speckle Dynamic Time Warping Spatial resolution 3D dynamic CT Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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