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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eckl, J. Daum, V. Hornegger, J. Pohl, K.M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Pattern Recognition Lab (Eckl, J.; Daum, V.; Hornegger, J.) || Department of Radiology, University of Pennsylvania (Pohl, K.M.) |
| Abstract | Registration methods frequently rely on prior information in order to generate anatomical meaningful transformations between medical scans. In this paper, we propose a novel intensity based non-rigid registration framework, which is guided by landmarks and a regularizer based on Principle Component Analysis (PCA). Unlike existing methods in this domain, the computational complexity of our approach reduces with the number of landmarks. Furthermore, our PCA is invariant to translations. The additional regularizer is based on the outcome of this PCA. We register a skull CT scan to MR scans aquired by a MR/PET hybrid scanner. This aligned CT scan can then be used to gain an attenuation map for PET reconstruction. As a result we have a Dice coefficient for bone areas at 0.71 and a Dice coefficient for bone and soft issue areas at 0.97. |
| Starting Page | 704 |
| Ending Page | 707 |
| File Size | 157608 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457718571 |
| ISSN | 19457928 |
| e-ISBN | 9781457718588 |
| DOI | 10.1109/ISBI.2012.6235645 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-02 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Principal component analysis Computed tomography Positron emission tomography Bones Biomedical imaging Mathematical model Educational institutions regularizer based on PCA non-rigid registration landmarks |
| Content Type | Text |
| Resource Type | Article |
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