Probabilistic Atlas Based Segmentation Using Affine Moment Descriptors and Graph-Cuts

Platero Dueñas, Carlos and Rodrigo Cordoba, Victor and Tobar Puente, M. del Carmen and Sanguino Botella, Fco. Javier and Velasco Manuel, Olga and Poncela Pardo, Jose Manuel (2011). Probabilistic Atlas Based Segmentation Using Affine Moment Descriptors and Graph-Cuts. In: "14th International Conference, CAIP 2011", 29/08/2011 - 31/08/2011, Sevilla, España. ISBN 978-3-642-23671-6. pp. 144-151. https://doi.org/10.1007/978-3-642-23672-3_18.

Description

Title: Probabilistic Atlas Based Segmentation Using Affine Moment Descriptors and Graph-Cuts
Author/s:
  • Platero Dueñas, Carlos
  • Rodrigo Cordoba, Victor
  • Tobar Puente, M. del Carmen
  • Sanguino Botella, Fco. Javier
  • Velasco Manuel, Olga
  • Poncela Pardo, Jose Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th International Conference, CAIP 2011
Event Dates: 29/08/2011 - 31/08/2011
Event Location: Sevilla, España
Title of Book: Proceedings of 14th International Conference, CAIP 2011. Lecture Notes in Computer Science
Date: 2011
ISBN: 978-3-642-23671-6
Volume: 6854
Subjects:
Faculty: E.U.I.T. Industrial (UPM)
Department: Electrónica, Automática e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We show a procedure for constructing a probabilistic atlas based on affine moment descriptors. It uses a normalization procedure over the labeled atlas. The proposed linear registration is defined by closed-form expressions involving only geometric moments. This procedure applies both to atlas construction as atlas-based segmentation. We model the likelihood term for each voxel and each label using parametric or nonparametric distributions and the prior term is determined by applying the vote-rule. The probabilistic atlas is built with the variability of our linear registration. We have two segmentation strategy: a) it applies the proposed affine registration to bring the target image into the coordinate frame of the atlas or b) the probabilistic atlas is non-rigidly aligning with the target image, where the probabilistic atlas is previously aligned to the target image with our affine registration. Finally, we adopt a graph cut - Bayesian framework for implementing the atlas-based segmentation.

More information

Item ID: 13028
DC Identifier: http://oa.upm.es/13028/
OAI Identifier: oai:oa.upm.es:13028
DOI: 10.1007/978-3-642-23672-3_18
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-23672-3_18
Deposited by: Memoria Investigacion
Deposited on: 11 Dec 2012 08:42
Last Modified: 21 Apr 2016 12:20
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