Title:
Segmentation of the Endocardial Wall of the Left Atrium using Local Region-Based Active Contours and Statistical Shape Learning
Segmentation of the Endocardial Wall of the Left Atrium using Local Region-Based Active Contours and Statistical Shape Learning
| dc.contributor.author | Gao, Yi | |
| dc.contributor.author | Gholami, Behnood | |
| dc.contributor.author | MacLeod, Robert S. | |
| dc.contributor.author | Blauer, Joshua | |
| dc.contributor.author | Haddad, Wassim M. | |
| dc.contributor.author | Tannenbaum, Allen R. | |
| dc.contributor.corporatename | Georgia Institute of Technology. Dept. of Biomedical Engineering | |
| dc.contributor.corporatename | Emory University. Dept. of Biomedical Engineering | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Aerospace Engineering | |
| dc.contributor.corporatename | University of Utah. Scientific Computing and Imaging Institute | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | |
| dc.date.accessioned | 2010-04-26T18:26:48Z | |
| dc.date.available | 2010-04-26T18:26:48Z | |
| dc.date.issued | 2010-02-14 | |
| dc.description | ©2010 SPIE--The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1117/12.844321 | en_US |
| dc.description | DOI: 10.1117/12.844321 | |
| dc.description | Presented at Medical Imaging 2010: Image Processing, 14 February 2010, San Diego, California, USA | |
| dc.description.abstract | Atrial fibrillation, a cardiac arrhythmia characterized by unsynchronized electrical activity in the atrial chambers of the heart, is a rapidly growing problem in modern societies. One treatment, referred to as catheter ablation, targets specific parts of the left atrium for radio frequency ablation using an intracardiac catheter. Magnetic resonance imaging has been used for both pre- and and post-ablation assessment of the atrial wall. Magnetic resonance imaging can aid in selecting the right candidate for the ablation procedure and assessing post-ablation scar formations. Image processing techniques can be used for automatic segmentation of the atrial wall, which facilitates an accurate statistical assessment of the region. As a first step towards the general solution to the computer-assisted segmentation of the left atrial wall, in this paper we use shape learning and shape-based image segmentation to identify the endocardial wall of the left atrium in the delayed-enhancement magnetic resonance images. | en_US |
| dc.identifier.citation | Yi Gao, Behnood Gholami, Robert S. MacLeod, Joshua Blauer, Wassim M. Haddad,and Allen R. Tannenbaum, "Segmentation of the Endocardial Wall of the Left Atrium using Local Region-Based Active Contours and Statistical Shape Learning," Medical Imaging 2010: Image Processing, Benoit M. Dawant, David R. Haynor, editors, Proc. SPIE, Vol. 7623, 76234Z (2010) | en_US |
| dc.identifier.issn | 0277-786X | |
| dc.identifier.uri | http://hdl.handle.net/1853/32756 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | International Society for Optical Engineering | |
| dc.subject | Atrial fibrillation | en_US |
| dc.subject | Active contours | en_US |
| dc.subject | Shape-based segmentation | en_US |
| dc.subject | Ablation therapy | en_US |
| dc.title | Segmentation of the Endocardial Wall of the Left Atrium using Local Region-Based Active Contours and Statistical Shape Learning | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Haddad, Wassim M. | |
| local.contributor.corporatename | Wallace H. Coulter Department of Biomedical Engineering | |
| relation.isAuthorOfPublication | 6a6bf54c-ea0c-48c2-b93e-80351c6262d7 | |
| relation.isOrgUnitOfPublication | da59be3c-3d0a-41da-91b9-ebe2ecc83b66 |