Feature extraction and supervised classification of MR images to support proton radiation therapy of eye tumors.
Proton therapy has the potential for high-precision radiotherapy of retinal tumors. However, the standardized eye models currently used do not fully account for the patient's individual anatomy. To better exploit the data provided by MR images, a model-based approach was used based on a database of eye models. A face recognition algorithm was advanced to define similarity criteria between the reference image and the actual image. After building a high-dimensional feature vector and using a training data set, the reference model was selected by using the minimum Mahalanobis distance between the image to be classified and the reference images.
Department of Medical Informatics, Institute of Medical Informatics, Biostatistics, and Epidemiology, Benjamin Franklin Medical Center, University Hospital Benjamin Franklin, Freie Universität Berlin, Hindenburgdamm 30, D-12200 Berlin, Germany.
Holger
H
Kunz
Claus
C
Derz
Thomas
T
Tolxdorff
Johannes
J
Bernarding
D005134:Eye Neoplasms / Q000473:pathology / Q000532:radiotherapy*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000145:classification* / Q000379:methods; D011522:Protons
D011522:Protons