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Proceedings Paper

Midbrain volume segmentation using active shape models and LBPs
Author(s): Jimena Olveres; Rodrigo Nava; Boris Escalante-Ramírez; Gabriel Cristóbal; Carla María García-Moreno
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Paper Abstract

In recent years, the use of Magnetic Resonance Imaging (MRI) to detect different brain structures such as midbrain, white matter, gray matter, corpus callosum, and cerebellum has increased. This fact together with the evidence that midbrain is associated with Parkinson’s disease has led researchers to consider midbrain segmentation as an important issue. Nowadays, Active Shape Models (ASM) are widely used in literature for organ segmentation where the shape is an important discriminant feature. Nevertheless, this approach is based on the assumption that objects of interest are usually located on strong edges. Such a limitation may lead to a final shape far from the actual shape model. This paper proposes a novel method based on the combined use of ASM and Local Binary Patterns for segmenting midbrain. Furthermore, we analyzed several LBP methods and evaluated their performance. The joint-model considers both global and local statistics to improve final adjustments. The results showed that our proposal performs substantially better than the ASM algorithm and provides better segmentation measurements.

Paper Details

Date Published: 26 September 2013
PDF: 11 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88561F (26 September 2013); doi: 10.1117/12.2024396
Show Author Affiliations
Jimena Olveres, Univ. Nacional Autónoma de México (Mexico)
Rodrigo Nava, Univ. Nacional Autónoma de México (Mexico)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)
Gabriel Cristóbal, Consejo Superior de Investigaciones Científicas (Spain)
Carla María García-Moreno, Hospital Ángeles Lomas (Mexico)

Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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