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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bond, S.L. Brady, M. |
| Copyright Year | 2006 |
| Description | Author affiliation: Wolfson Med. Vision Lab., Oxford Univ. (Bond, S.L.; Brady, M.) |
| Abstract | We are developing a system for patient management in colorectal cancer, in which a difficult case of non-rigid registration, namely of pre- and post-therapy images, arises. Numerous non-rigid registration algorithms have been proposed in medical image analysis, and we have applied several leading algorithms to our non-rigid registration problem; but with unpromising results. The fundamental reason appears to be that they lack with knowledge of the particular application. We propose a graphical representation of anatomical knowledge relevant for colorectal cancer, and of the ways in which this anatomy may be predicted to change as a result of chemo and radiotherapy. We show how we interleave this representation with an adaptive registration algorithm to make the non-rigid registration result both robust and accurate |
| Sponsorship | IEEE EMB |
| Starting Page | 2634 |
| Ending Page | 2637 |
| File Size | 233533 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400325 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2006.259991 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Cancer Anatomy Robustness Neoplasms Magnetic resonance imaging Breast Biomedical imaging Lymph nodes Pixel |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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