Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (464kB) | Preview |
A new label fusion method using graph cuts: application to hippocampus segmentation
Citation
Platero Dueñas, Carlos and Tobar Puente, M. del Carmen and Sanguino Botella, Fco. Javier and Velasco Manuel, Olga (2014). A new label fusion method using graph cuts: application to hippocampus segmentation. In: "XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 / MEDICON 2013, 25-28 September 2013, Seville, Spain", 25/09/2013 - 28/09/2013, Sevilla, España. ISBN 978-3-319-00845-5. pp. 174-177. https://doi.org/10.1007/978-3-319-00846-2_43.
Description
| Title: | A new label fusion method using graph cuts: application to hippocampus segmentation |
|---|---|
| Author/s: |
|
| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 / MEDICON 2013, 25-28 September 2013, Seville, Spain |
| Event Dates: | 25/09/2013 - 28/09/2013 |
| Event Location: | Sevilla, España |
| Title of Book: | XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: IFMBE Proceedings |
| Date: | 2014 |
| ISBN: | 978-3-319-00845-5 |
| Volume: | 41 |
| Subjects: | |
| Freetext Keywords: | Label fusion; Atlas-based segmentation; Hippocampus segmentation |
| Faculty: | E.T.S.I. Diseño Industrial (UPM) |
| Department: | Electrónica, Automática e Informática Industrial [hasta 2014] |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associated with the proposed model, using a graph-cut technique. We test different label fusion methods on publicly available MR images of human brains.
More information
| Item ID: | 33313 |
|---|---|
| DC Identifier: | http://oa.upm.es/33313/ |
| OAI Identifier: | oai:oa.upm.es:33313 |
| DOI: | 10.1007/978-3-319-00846-2_43 |
| Official URL: | http://link.springer.com/chapter/10.1007/978-3-319-00846-2_43 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 02 Feb 2015 12:55 |
| Last Modified: | 31 Mar 2015 22:56 |
