Title :
Fast and Robust Segmentation of Head in T1-weighted Magnetic Resonance Volumes
Author :
Hu, Qingmao ; Qian, Guoyu ; Nowinski, Wieslaw L.
Author_Institution :
Biomed. Imaging Lab, Agency for Sci., Technol. & Res., Singapore
Abstract :
A fast and robust algorithm to segment the head from T1-weighted magnetic resonance (MR) volumes is presented based on robust determination of threshold from combination of the original volume (through employing the fuzzy c-means clustering which is insensitive to intensity inhomogeneity) and the average axial image (which suppresses the intensity noise), efficient connected component analysis through iterative recursion and fast implementation of morphological operations via decomposition of structuring elements. The algorithm has been validated against 101 data sets with various artifacts
Keywords :
biomedical MRI; fuzzy set theory; image segmentation; iterative methods; mathematical morphology; medical image processing; pattern clustering; principal component analysis; T1-weighted magnetic resonance volumes; axial image; component analysis; fuzzy c-means clustering; head; image segmentation; intensity inhomogeneity; intensity noise; iterative recursion; magnetic resonance imaging; morphological operation; structuring element decomposition; Algorithm design and analysis; Clustering algorithms; Image analysis; Image segmentation; Magnetic analysis; Magnetic heads; Magnetic noise; Magnetic resonance; Morphological operations; Noise robustness; Head; Magnetic Resonance Imaging; Robust Segmentation;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345356
