TY - JOUR
T1 - Neural network assisted Gamma knife radiosurgery treatment planning
T2 - Basic studies
AU - Tseng, Y. J.
AU - Chu, W. C.
AU - Chung, Pau-Choo
AU - Chung, W. Y.
AU - Pan, D. H C
PY - 1998
Y1 - 1998
N2 - Due to the extreme accuracy requirement of Gamma knife stereotactic radiosurgery, the treatment planning procedure has been a time consuming and enduring process for neurosurgeons to uphold. For this reason, we propose using artificial neural network to integrate traditional intricate diagnosing procedures to determine multi-focal shots, focal positions and weightings in an automatic or semi-automatic way. We use error-back-propagation neural network algorithm to train 32 phantom cases and 74 real cases acquired from the Neurological Institute of Veterans General Hospital, Taipei. After pre- processing procedure, tumor lesion data was encoded as input vector and the treatment result as the output vector of the artificial neural network. The program was constructed with an object-oriented programming concept that runs on a PC platform. Partial successes have been obtained for simple-shaped tumors, however, for complex-shaped and/or large tumors, further endeavors are required. Discussions on this are included.
AB - Due to the extreme accuracy requirement of Gamma knife stereotactic radiosurgery, the treatment planning procedure has been a time consuming and enduring process for neurosurgeons to uphold. For this reason, we propose using artificial neural network to integrate traditional intricate diagnosing procedures to determine multi-focal shots, focal positions and weightings in an automatic or semi-automatic way. We use error-back-propagation neural network algorithm to train 32 phantom cases and 74 real cases acquired from the Neurological Institute of Veterans General Hospital, Taipei. After pre- processing procedure, tumor lesion data was encoded as input vector and the treatment result as the output vector of the artificial neural network. The program was constructed with an object-oriented programming concept that runs on a PC platform. Partial successes have been obtained for simple-shaped tumors, however, for complex-shaped and/or large tumors, further endeavors are required. Discussions on this are included.
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M3 - Article
AN - SCOPUS:0031732598
SN - 1019-0465
VL - 18
SP - 97
EP - 105
JO - Chinese Journal of Medical and Biological Engineering
JF - Chinese Journal of Medical and Biological Engineering
IS - 2
ER -