Title :
Accurate segmentation of 3-D magnetic resonance images of the head using a directional watershed transform
Author :
Warscotte, Vincent ; Macq, Benoît ; Thiran, Jean-Philippe ; Michel, Cotsaftis
Author_Institution :
Telecommun. & Remote Sensing Lab., Katholieke Univ., Leuven, Belgium
Abstract :
A new algorithm for automatic and accurate segmentation of 3-D magnetic resonance images (MRI) is presented. It improves the classical watershed transformation (WST) whose results are inaccurate when applied on 3-D noisy data. It uses directional information and is less sensitive to noise since it does not require the gradient image. Initial results are presented
Keywords :
biomedical NMR; brain; image segmentation; mathematical morphology; medical image processing; 3-D magnetic resonance images; 3-D noisy data; MRI; accurate segmentation; automatic segmentation; brain; directional watershed transform; gradient image; head; Biomedical imaging; Image edge detection; Image segmentation; Magnetic heads; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Optical imaging; Spatial resolution; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575215
