A comparative study of Powell's and Downhill Simplex algorithms for a fast multimodal surface matching in brain imaging
✍ Scribed by J.L Bernon; V Boudousq; J.F Rohmer; M Fourcade; M Zanca; M Rossi; D Mariano-Goulart
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 196 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0895-6111
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✦ Synopsis
Multimodal images registration can be very helpful for diagnostic applications. However, even if a lot of registration algorithms exist, only a few really work in clinical routines. We developed a method based on surface matching and compared two minimization algorithms: Powell's and Downhill Simplex. We studied the in¯uence of some factors (chamfer map computation, number and order of parameters to determine, minimization criteria) on the ®nal accuracy of the algorithm. Using this comparison, we improved some processing steps to allow a clinical use, and selected the simplex algorithm which presented the best results.