Multilevel block matching technique with the use of generalized partial volume interpolation for nonlinear intersubject registration of MRI brain images
| Název česky | Mnohoúrovňová technika srovnávání podobrazů s využitím zobecněné interpolace částečných objemů pro nelineární registraci obrazů mozku z MRI od různých subjektů |
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| Autoři | |
| Rok publikování | 2008 |
| Druh | Článek ve sborníku |
| Konference | 16th European Signal Processing Conference EUSIPCO 2008 |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Využití počítačů, robotika a její aplikace |
| Klíčová slova | image processing;image registration;interpolation |
| Popis | Spatial normalization of MRI brain images by nonlinear image registration is an essential task for many applications in the field of computational neuroanatomy. Here, a multilevel block matching technique adapted to the problem of intersubject registration is presented. The concept of generalized partial volume (GPV) interpolation, which was originally used in joint intensity histogram computation, is used here in regional similarity matching. The influence of kernel function selected for GPV interpolation on the quality of registration is studied in experiments which include simulated brain images and synthetic deformations. |
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