Title :
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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537519
