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.
|Number of pages||9|
|Journal||Chinese Journal of Medical and Biological Engineering|
|Publication status||Published - 1998|
All Science Journal Classification (ASJC) codes