Boundary based movement correction of functional MR data using a genetic algorithm

This paper describes a novel image registration method for movementcorrection of fMR time-series. It is important to align the fMR images in the time-series before time-dependent analyses. This registration method aligns the boundaries of brains extracted from the functional images. It uses a genetic algorithm to minimize the distance function obtained from the chamfer distance transform. The global search nature of genetic algorithm makes this method robust to the presence of local minima.

• Type: Conference
• Year: 2000
• Where: ESANN
• Authors: Guojun Bao, Jagath C. Rajapakse
• Keywords: ESANN 2000, ESANN 2007, FMR Time-series, Genetic Algorithm, Registration Method