Title :
Using an artificial neural network to define the planning target volume in radiotherapy
Author :
Kaspari, N. ; Gademann, G. ; Michaelis, B.
Author_Institution :
Inst. for Meas. Technol. & Electron., Magdeburg Univ., Germany
Abstract :
A neural network is designed and tested for prediction of the planning target volume in radiotherapy from the shape of the detected tumor. The proposed neural network is able to generalize a doctor´s knowledge and to predict the planning target volume from a 3-dimensional image of the detected tumor. The first results are presented
Keywords :
computerised tomography; medical image processing; neural nets; patient treatment; planning (artificial intelligence); radiation therapy; stereo image processing; 3D image; artificial neural network; generalized doctor knowledge; planning target volume prediction; radiotherapy; tumor shape; Artificial neural networks; Biological neural networks; Biomedical imaging; Computed tomography; Electronic equipment testing; Intelligent networks; Neoplasms; Shape measurement; Technology planning; Uncertainty;
Conference_Titel :
Computer-Based Medical Systems., 1997. Proceedings., Tenth IEEE Symposium on
Conference_Location :
Maribor
Print_ISBN :
0-8186-7928-X
DOI :
10.1109/CBMS.1997.596422
