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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Georg, M. Souvenir, R. Hope, A. Pless, R. |
| Copyright Year | 2008 |
| Description | Author affiliation: Washington Univ., St. Louis, MO (Georg, M.) |
| Abstract | Modeling the dynamics of heart and lung tissue is challenging because the tissue deforms between data acquisitions. To reconstruct complete volumes, sample data captured at different times and locations must be combined. This paper presents a novel end-to-end, data driven framework for the complete reconstruction of deforming tissue volumes. This framework is a joint optimization over an undeformed tissue volume, a deformation map that describes tissue motion forgiven pose parameters (i.e. breathing and heartbeat), and an estimate of those parameters for each data acquisition. Tissue motion is modeled by deforming a reference volume with a cubic B-spline free form deformation, and we use Isomap to derive initial estimates of the pose of sample data. An iterative method is used to simultaneously solve for the reference volume and deformation map while updating the pose estimates. This same process is demonstrated on 4D CT lung data and heart/lung MR data. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1030235 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422425 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2008.4587740 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lungs Motion estimation Computed tomography Deformable models Slabs Image reconstruction Data acquisition Heart beat Parameter estimation Spline |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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