Elimination of RF inhomogeneity effects in segmentation.
There are various methods proposed for the segmentation and analysis of MR images. However the efficiency of these techniques is effected by various artifacts that occur in the imaging system. One of the most encountered problems is the intensity variation across an image. To overcome this problem different methods are used. In this paper we propose a method for the elimination of intensity artifacts in segmentation of MRI images. Inter imager variations are also minimized to produce the same tissue segmentation for the same patient. A well-known multivariate classification algorithm, maximum likelihood is employed to illustrate the enhancement in segmentation.
Agus
Onur
O
Bogazici University Institute of Biomedical Engineering Bebek, Istanbul, Turkey. onur.agus@boun.edu.tr
Ozkan
Mehmed
M
Aydin
Kubilay
K
D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation* / Q000379:methods; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000295:instrumentation* / Q000379:methods; D015233:Models, Statistical; D016011:Normal Distribution; D010363:Pattern Recognition, Automated; D019047:Phantoms, Imaging; D011846:Radio Waves; D011856:Radiographic Image Enhancement / Q000295:instrumentation* / Q000379:methods; D012680:Sensitivity and Specificity