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Authors: Iman Avazpour 1 ; Raja Syamsul Azmir Raja Abdullah 1 ; Abdul Jalil Nordin 2 and M. Iqbal Saripan 1

Affiliations: 1 Faculty of Engineering and Universiti Putra Malaysia, Malaysia ; 2 Faculty of Medicine and Health Sciences and Universiti Putra Malaysia, Malaysia

Keyword(s): Computed Tomography, Positron Emission Tomography, segmentation, dual modality imaging, Extra-pulmonary Tuberculosis.

Abstract: Medical image segmentation has always relied on evaluation and processing of the target image. In this paper we are using PET/CT dual imaging modality data to start and guide segmentation of regions of interest on CT image. The aim is to improved current semi-automatic techniques to become fully automatics. The images are acquired for extra pulmonary tuberculosis (EPTB) to indicate the area of infections. Two segmentation algorithms have been examined and tested; Seeded Region Growing (SRG) and Watershed using this technique and their results have been evaluated considering segmentation accuracy and time consumption. Overall, adopting the proposed approach for boundary maximum gray value in SRG yields the best results in terms of the accuracy, and acceptable time computation.

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Paper citation in several formats:
Avazpour, I.; Raja Abdullah, R.; Nordin, A. and Saripan, M. (2011). Image Segmentation Guidance using Pet Information on CT Images in PET/CT Dual Modality . In Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2011) - MIAD; ISBN 978-989-8425-38-6, SciTePress, pages 75-81. DOI: 10.5220/0003302700750081

@conference{miad11,
author={Iman Avazpour. and Raja Syamsul Azmir {Raja Abdullah}. and Abdul Jalil Nordin. and M. Iqbal Saripan.},
title={Image Segmentation Guidance using Pet Information on CT Images in PET/CT Dual Modality },
booktitle={Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2011) - MIAD},
year={2011},
pages={75-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003302700750081},
isbn={978-989-8425-38-6},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2011) - MIAD
TI - Image Segmentation Guidance using Pet Information on CT Images in PET/CT Dual Modality
SN - 978-989-8425-38-6
AU - Avazpour, I.
AU - Raja Abdullah, R.
AU - Nordin, A.
AU - Saripan, M.
PY - 2011
SP - 75
EP - 81
DO - 10.5220/0003302700750081
PB - SciTePress

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