A data fusion approach to tumor delineation

Author

Wasserman, Richard ; Acharya, Raj ; Sibata, Claudio ; Shin, K.H.

Author_Institution

Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

476

Abstract

An improved methodology is presented for the localization of tumors for radiation therapy treatment planning applications. The proposed approach focuses on the integration of MRI, CT, and PET imaging data towards the generation of a mathematically optimal tumor boundary. Fuzzy edges derived from CT and MRI are fused to form an integrated edge map which is employed in conjunction with a region based analysis of the PET scan to guide the evolution of a tumor segmenting model. The presented algorithm yields tumor contours which may be employed directly in the radiation therapy treatment planning process

Keywords

biomedical NMR; computerised tomography; edge detection; image segmentation; medical image processing; positron emission tomography; radiation therapy; CT; MRI; PET; data fusion approach; fuzzy edges; integrated edge map; mathematically optimal tumor boundary; radiation therapy treatment planning process; region based analysis; tumor contours; tumor delineation; tumor segmenting model; tumors localization; Biomedical applications of radiation; Biomedical computing; Biomedical imaging; Computed tomography; Deformable models; Force measurement; Image segmentation; Magnetic resonance imaging; Neoplasms; Positron emission tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537519

Filename

537519