Image Segmentation Guidance using Pet Information on CT Images in PET/CT Dual Modality

Iman Avazpour, Raja Syamsul Azmir Raja Abdullah, Abdul Jalil Nordin, M. Iqbal Saripan

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 Harvard Style

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 - Volume 1: MIAD, (BIOSTEC 2011) ISBN 978-989-8425-38-6, pages 75-81. DOI: 10.5220/0003302700750081


in Bibtex Style

@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 - Volume 1: MIAD, (BIOSTEC 2011)},
year={2011},
pages={75-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003302700750081},
isbn={978-989-8425-38-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)
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