Title:
Semi-Automatic Lymph Node Segmentation in LN-MRI
Semi-Automatic Lymph Node Segmentation in LN-MRI
| dc.contributor.author | Unal, Gozde | |
| dc.contributor.author | Slabaugh, Gregory G. | |
| dc.contributor.author | Ess, Andreas | |
| dc.contributor.author | Yezzi, Anthony | |
| dc.contributor.author | Tong, Fang | |
| dc.contributor.author | Tyan, Jason | |
| dc.contributor.author | Requardt, Martin | |
| dc.contributor.author | Krieg, Robert | |
| dc.contributor.author | Seethamraju, Ravi T. | |
| dc.contributor.author | Harisinghani, Mukesh | |
| dc.contributor.author | Weissleder, Ralph | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |
| dc.contributor.corporatename | Eidgenössische Technische Hochschule Zürich | en_US |
| dc.contributor.corporatename | Massachusetts General Hospital. Center For Molecular Imaging Research | en_US |
| dc.contributor.corporatename | Siemens Aktiengesellschaft. Medical Solutions | en_US |
| dc.contributor.corporatename | Siemens Corporate Research | en_US |
| dc.date.accessioned | 2013-09-18T13:41:38Z | |
| dc.date.available | 2013-09-18T13:41:38Z | |
| dc.date.issued | 2006-10 | |
| dc.description | © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.description | Presented at the 2006 IEEE International Conference on Image Processing (ICIP 2006), 8-11 October 2006, Atlanta, GA. | |
| dc.description | DOI: 10.1109/ICIP.2006.312366 | |
| dc.description.abstract | Accurate staging of nodal cancer still relies on surgical exploration because many primary malignancies spread via lymphatic dissemination. The purpose of this study was to utilize nanoparticle-enhanced lymphotropic magnetic resonance imaging (LN-MRI) to explore semi-automated noninvasive nodal cancer staging. We present a joint image segmentation and registration approach, which makes use of the problem specific information to increase the robustness of the algorithm to noise and weak contrast often observed in medical imaging applications. The effectiveness of the approach is demonstrated with a given lymph node segmentation problem in post-contrast pelvic MRI sequences | en_US |
| dc.embargo.terms | null | en_US |
| dc.identifier.citation | Unal, G.; Slabaugh, G.; Ess, A.; Yezzi, A.; Fang, T.; Tyan, J.; Requardt, M.; Krieg, R.; Seethamraju, R.; Harisinghani, M.; & Weissleder, R. (2006). "Semi-Automatic Lymph Node Segmentation in LN-MRI”. Proceedings of the 2006 IEEE International Conference on Image Processing (ICIP 2006), (October 2006), pp.77-80. | en_US |
| dc.identifier.doi | 10.1109/ICIP.2006.312366 | |
| dc.identifier.isbn | 1-4244-0480-0 | |
| dc.identifier.issn | 1522-4880 | |
| dc.identifier.uri | http://hdl.handle.net/1853/48965 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | |
| dc.subject | Biomedical image processing | en_US |
| dc.subject | Biomedical magnetic resonance imaging | en_US |
| dc.subject | Image segmentation | en_US |
| dc.subject | Medical diagnosis | en_US |
| dc.title | Semi-Automatic Lymph Node Segmentation in LN-MRI | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Yezzi, Anthony | |
| local.contributor.corporatename | School of Electrical and Computer Engineering | |
| local.contributor.corporatename | College of Engineering | |
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