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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chunliang Wang Smedby, O. |
| Copyright Year | 2014 |
| Description | Author affiliation: Center for Med. Imaging Sci. & Visualization(CMIV), Linkoping Univ., Linkoping, Sweden (Chunliang Wang; Smedby, O.) |
| Abstract | An automatic multi-organ segmentation method using hierarchical-shape-prior guided level sets is proposed. The hierarchical shape priors are organized according to the anatomical hierarchy of the human body, so that major structures with less population variety are at the top and smaller structures with higher irregularities are linked at a lower level. The segmentation is performed in a top-down fashion, where major structures are first segmented with higher confidence, and their location information is then passed down to the lower level to initialize the segmentation, while boundary information from higher-level structures also provides extra cues to guide the segmentation of the lower-level structures. The proposed method was combined with a novel coherent propagating level set method, which is capable to detect local convergence and skip calculation in those parts, therefore significantly reducing computation time. Preliminary experiment results on a small number of clinical datasets are encouraging, the proposed method yielded a Dice coefficient above 90% for most major organs within a reasonable processing time without any user intervention. |
| Starting Page | 3327 |
| Ending Page | 3332 |
| File Size | 363438 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.574 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Level set Cavity resonators Computed tomography Image segmentation Biomedical imaging Liver level sets multi-organ segmentation shape priors statistical model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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