The current literature on MRI segmentation methods is reviewed. Partic
ular emphasis is placed on the relative merits of single image versus
multispectral segmentation, and supervised versus unsupervised segment
ation methods. Image pre-processing and registration are discussed, as
well as methods of validation. The application of MRI segmentation fo
r tumor volume measurements during the course of therapy is presented
here as an example, illustrating problems associated with inter- and i
ntra-observer variations inherent to supervised methods.