This section describes the classification problem, defines terms, states assumptions made about the imaging data to be classified, and sketches the algorithm and its derivation. Sections 3-6 give more information on each part of the process, with detailed derivations in Sections 8 and 9. Section 7 shows results of the application of the algorithm to simulated MR data and to real MR data of a human brain, hand, and tooth. Some limitations and future extensions are discussed in Section 10 and a summary and conclusion are made in Section 11.

Was this article helpful?

0 0

Post a comment