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1995 International Conference on Image Processing (ICIP'95) - Volume 2
A data fusion approach to tumor delineation
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
ASCII Text
x 
 
R. Wasserman, R. Acharya, C. Sibata, K.H. Shin, "A data fusion approach to tumor delineation," Image Processing, International Conference on, vol. 2, pp. 2476, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995.
 
 
BibTex
x
 
@article{ 10.1109/ICIP.1995.537519,
author = {R. Wasserman and R. Acharya and C. Sibata and K.H. Shin},
title = {A data fusion approach to tumor delineation},
journal ={Image Processing, International Conference on},
volume = {2},
year = {1995},
isbn = {0-8186-7310-9},
pages = {2476},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537519},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Processing, International Conference on
TI - A data fusion approach to tumor delineation
SN - 0-8186-7310-9
SP
EP
A1 - R. Wasserman,
A1 - R. Acharya,
A1 - C. Sibata,
A1 - K.H. Shin,
PY - 1995
KW - edge detection; radiation therapy; positron emission tomography; biomedical NMR; computerised tomography; medical image processing; image segmentation; data fusion approach; tumor delineation; MRI; CT; PET; mathematically optimal tumor boundary; tumor contours; radiation therapy treatment planning process; tumors localization; fuzzy edges; integrated edge map; region based analysis; tumor segmenting model
VL - 2
JA - Image Processing, International Conference on
ER -
 
R. Wasserman, Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
R. Acharya, Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
C. Sibata, Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
K.H. Shin, Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
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.
Index Terms:
edge detection; radiation therapy; positron emission tomography; biomedical NMR; computerised tomography; medical image processing; image segmentation; data fusion approach; tumor delineation; MRI; CT; PET; mathematically optimal tumor boundary; tumor contours; radiation therapy treatment planning process; tumors localization; fuzzy edges; integrated edge map; region based analysis; tumor segmenting model
Citation:
R. Wasserman, R. Acharya, C. Sibata, K.H. Shin, "A data fusion approach to tumor delineation," icip, vol. 2, pp.2476, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995
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