A Multicriteria Method for Cervical Tumor Segmentation in Positron Emission Tomography

Author

Resende Monteiro, Andre Luis ; Manso Correa Machado, Alexei ; Mamede Lewer, Marcelo Henrique

Author_Institution

Pontifical Catholic Univ. of Minas Gerais, Belo Horizonte, Brazil

fYear

2014

fDate

27-29 May 2014

Firstpage

205

Lastpage

208

Abstract

Accurate delineation of tumors is a fundamental requirement for proper planning and subsequent cancer treatment. In this paper, we propose to model the process of tumor segmentation as a multicriteria decision making problem, considering the information embedded in both Positron Emission Tomography (PET) and Computed tomography (CT) images. A set of images of cervical tumors were semi-automated segmented and the results compared with a manual delineation. The results show that using a multiple criteria approach in the segmentation process can improve sensitivity, and the utilization of both PET and CT images may be a factor for improving precision.

Keywords

cancer; computerised tomography; decision making; image segmentation; medical image processing; operations research; positron emission tomography; tumours; CT images; PET images; cancer treatment planning; cervical tumor segmentation; computed tomography; manual delineation; multicriteria decision making problem; positron emission tomography; semiautomated segmentation; tumor delineation; Computed tomography; Image segmentation; Magnetic resonance imaging; Positron emission tomography; Prototypes; Sensitivity; Tumors; image segmentation; medical image analysis; positron emission tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on

Conference_Location

New York, NY

Type

conf

DOI

10.1109/CBMS.2014.52

Filename

6881877