A comparative study of Powell's and Downhill Simplex algorithms for a fastmultimodal surface matching in brain imaging

Multimodal images registration can be very helpful for diagnostic applicati ons. However, even if a lot of registration algorithms exist, only a few re ally work in clinical routines. We developed a method based on surface matc hing and compared two minimization algorithms: Powell's and Downhill Simple x. We studied the influence of some factors (chamfer map computation, numbe r and order of parameters to determine, minimization criteria) on the final accuracy of the algorithm. Using this comparison, we improved some process ing steps to allow a clinical use, and selected the simplex algorithm which presented the best results. (C) 2001 Elsevier Science Ltd. All rights rese rved.