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.
Kunz
Holger
H
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.
Derz
Claus
C
Tolxdorff
Thomas
T
Bernarding
Johannes
J
D005134:Eye Neoplasms / Q000473:pathology / Q000532:radiotherapy*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000145:classification* / Q000379:methods; D011522:Protons
D011522:Protons