Abstract
In this paper we address the problem of segmentation propagation from one example onto similar images in an on-line and real-time fashion. As suggested in [1], we consider segmentation as a process consisting of two stages: the localization of the anatomy of interest and its boundary delineation. For each stage we identify and evaluate different potential candidate methods. All methods are applied on a dataset of 22 three dimensional (3-D) Magnetic Resonance (MR) images of the prostate. The high variation of appearance of the prostate across individuals is a challenging feature, which affects the repeatability of frameworks that leverage prior knowledge from one image example. Our observation is that the repeatability of the framework is improved, when a two stage processing strategy is realized, based on the deformable registration of [6,7], followed by Graph-Cuts [11,12] based segmentation. © 2011 IEEE.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Symposium on Biomedical Imaging|IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn. |
| Publisher | IEEE |
| Pages | 1472-1475 |
| Number of pages | 3 |
| ISBN (Print) | 9781424441280 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL Duration: 1 Jul 2011 → … |
Conference
| Conference | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
|---|---|
| City | Chicago, IL |
| Period | 1/07/11 → … |
Keywords
- 3-D Medical Images
- Graph-Cuts
- Image Registration
- Image Segmentation
- Performance Evaluation
- Prostate Segmentation