Title :
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
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;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/CBMS.2014.52
