Title :
Atlas-free brain segmentation in 3D proton-density-like MRI images
Author :
Schmitter, Daniel ; Delgado-Gonzalo, Ricard ; Krueger, Gunnar ; Unser, Michael
Author_Institution :
Biomed. Imaging Group, Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fDate :
April 29 2014-May 2 2014
Abstract :
We present a new method for the atlas-free brain segmentation of proton-density-like 3D MRI images. We show how steerable filters can be efficiently combined with parametric spline surfaces to produce a fast and robust 3D brain segmentation algorithm. The novelty lies in the computation of brain edge maps through optimal steerable surface detectors which provide efficient energies for the rapid optimization of snakes. Our experimental results show the promising potential of the method for fast and accurate brain extraction.
Keywords :
biomedical MRI; brain; feature extraction; filtering theory; image segmentation; medical image processing; splines (mathematics); 3D brain segmentation; 3D proton-density-like MRI images; atlas-free brain segmentation; brain edge maps; brain extraction; parametric spline surfaces; steerable filters; steerable surface detectors; Detectors; Image edge detection; Image segmentation; Optimization; Robustness; Splines (mathematics); Three-dimensional displays; active contours; atlas-free; brain segmentation; spline snake; steerable filter;
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
DOI :
10.1109/ISBI.2014.6867949
