| dc.contributor.author | Depa, Michal | |
| dc.contributor.author | Sabuncu, Mert R. | |
| dc.contributor.author | Holmvang, Godtfred | |
| dc.contributor.author | Nezafat, Reza | |
| dc.contributor.author | Schmidt, Ehud J. | |
| dc.contributor.author | Golland, Polina | |
| dc.date.accessioned | 2011-04-20T20:33:56Z | |
| dc.date.available | 2011-04-20T20:33:56Z | |
| dc.date.issued | 2010-01 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/62258 | |
| dc.description.abstract | Automatic segmentation of the heart’s left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variability of the left atrium presents significant challenges for atlas-guided segmentation. In this paper, we demonstrate an automatic method for left atrium segmentation using weighted voting label fusion and a variant of the demons registration algorithm adapted to handle images with different intensity distributions. We achieve accurate automatic segmentation that is robust to the high anatomical variations in the shape of the left atrium in a clinical dataset of MRA images. | en_US |
| dc.description.sponsorship | National Alliance for Medical Image Computing (U.S.) (NIH NIBIB NAMIC U54-EB005149) | en_US |
| dc.description.sponsorship | Neuroimaging Analysis Center (U.S.) (NIH NCRR NAC P41-RR13218) | en_US |
| dc.description.sponsorship | National Institute of Neurological Disorders and Stroke (U.S.) (NIH NINDS R01-NS051826) | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (Grant R01EB008743-01A2) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (CAREER grant 0642971) | en_US |
| dc.description.sponsorship | Irwin Mark Jacobs and Joan Klein Jacobs Presidential Fellowship | en_US |
| dc.description.sponsorship | Julie Payette-NSERC Research Scholarship | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Springer | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1007/978-3-642-15835-3_9 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike 3.0 | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | Robust atlas-based segmentation of highly variable anatomy: left atrium segmentation | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Depa, Michal et al. “Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation.” Statistical Atlases and Computational Models of the Heart. (Lecture notes in computer science, v. 6364) Springer Berlin / Heidelberg, 2010. 85-94. Copyright © 2010, Springer | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.approver | Golland, Polina | |
| dc.contributor.mitauthor | Depa, Michal | |
| dc.contributor.mitauthor | Golland, Polina | |
| dc.relation.journal | Statistical atlases and computational models of the heart (Lecture notes in computer science, v. 6364) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| dspace.orderedauthors | Depa, Michal; Sabuncu, Mert R.; Holmvang, Godtfred; Nezafat, Reza; Schmidt, Ehud J.; Golland, Polina | en |
| dc.identifier.orcid | https://orcid.org/0000-0003-2516-731X | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |
