Method to segment the brain automatically applied to a magnetic resonance imaging sequence

Vianney Le Thuc; Abdelmalik Taleb-Ahmed; Xavier Leclerc; T. Saint Michel

doi:10.1117/1.1580832

1 July 2003 Method to segment the brain automatically applied to a magnetic resonance imaging sequence

Vianney Le Thuc, Abdelmalik Taleb-Ahmed, Xavier Leclerc, T. Saint Michel

Author Affiliations +

Optical Engineering, Vol. 42, Issue 7, (July 2003). https://doi.org/10.1117/1.1580832

The purpose of this preliminary study is to segment the brain on magnetic resonance (MR) images by using a robust and fully automatic method. A 2-D T2-weighted MR sequence is used as a reference for imaging the brain. Our segmentation technique could segment the brain in each slice taken from different MR scanners using different image resolutions and MR sequences. This method is based on an integrated approach that uses image processing techniques and a priori knowledge. The originality of our work is to integrate the 3-D information of the sequence in the geometrical approach, to adapt this method for other MR imaging modalities, and to use only one MR sequence to segment the whole brain. This is a multistage process requiring the background noise to be removed, and the head mask is then obtained thanks to the combination of a recursive filling technique and geometrical properties of the brain. We describe the main features of the method, and give results for some brain studies.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Vianney Le Thuc, Abdelmalik Taleb-Ahmed, Xavier Leclerc, and T. Saint Michel "Method to segment the brain automatically applied to a magnetic resonance imaging sequence," Optical Engineering 42(7), (1 July 2003). https://doi.org/10.1117/1.1580832

Published: 1 July 2003

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