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Authors: Chen-Ping Yu 1 ; Guilherme C. S. Ruppert 2 ; Dan T. D. Nguyen 3 ; Alexandre X. Falcão 4 and Yanxi Liu 1

Affiliations: 1 Pennsylvania State University, United States ; 2 University of Campinas and Renato Archer Center for Information Technology, Brazil ; 3 Penn State Hershey Medical Center, United States ; 4 University of Campinas, Brazil

Keyword(s): Brain Tumor Segmentation, Brain Image Analysis, Computer Aided Diagnosis, Computational Symmetry, MRI Analysis.

Abstract: The precise segmentation of brain tumors from MR images is necessary for surgical planning. However, it is a tedious task for the medical professionals to process manually. The performance of supervised machine learning techniques for automatic tumor segmentation is time consuming and very dependent on the type of the training samples. Brain tumors are statistically asymmetrical blobs with respect to the mid-sagittal plane (MSP) in the brain and we present an asymmetry-based, novel, fast, fully-automatic and unsupervised framework for 3D brain tumor segmentation from MR images. Our approach detects asymmetrical intensity deviation of brain tissues in 4 stages: (1) automatic MSP extraction, (2) asymmetrical slice extraction for an estimated tumor location, (3) region of interest localization, and (4) 3D tumor volume delineation using a watershed method. The method has been validated on 17 clinical MR volumes with a 71.23%+-27.68% mean Jaccard Coefficient.

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Paper citation in several formats:
Yu, C.; C. S. Ruppert, G.; T. D. Nguyen, D.; X. Falcão, A. and Liu, Y. (2012). STATISTICAL ASYMMETRY-BASED BRAIN TUMOR SEGMENTATION FROM 3D MR IMAGES. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - MIAD; ISBN 978-989-8425-89-8; ISSN 2184-4305, SciTePress, pages 527-533. DOI: 10.5220/0003892205270533

@conference{miad12,
author={Chen{-}Ping Yu. and Guilherme {C. S. Ruppert}. and Dan {T. D. Nguyen}. and Alexandre {X. Falcão}. and Yanxi Liu.},
title={STATISTICAL ASYMMETRY-BASED BRAIN TUMOR SEGMENTATION FROM 3D MR IMAGES},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - MIAD},
year={2012},
pages={527-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003892205270533},
isbn={978-989-8425-89-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - MIAD
TI - STATISTICAL ASYMMETRY-BASED BRAIN TUMOR SEGMENTATION FROM 3D MR IMAGES
SN - 978-989-8425-89-8
IS - 2184-4305
AU - Yu, C.
AU - C. S. Ruppert, G.
AU - T. D. Nguyen, D.
AU - X. Falcão, A.
AU - Liu, Y.
PY - 2012
SP - 527
EP - 533
DO - 10.5220/0003892205270533
PB - SciTePress

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