MRI segmentation based on region growing with robust estimation

Leopoldo Gonzalez-Santos; Rafael R. Rojas; Juan H. Sossa-Azuela; Fernando A. Barrios

doi:10.1117/12.348646

21 May 1999 MRI segmentation based on region growing with robust estimation

Leopoldo Gonzalez-Santos, Rafael R. Rojas, Juan H. Sossa-Azuela, Fernando A. Barrios

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348646
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

An image segmentation algorithm based on region growing with robust estimation, using the mode of the region elements, is presented. With this algorithm it is possible to do brain MRI segmentation with reasonable results and speed, specially in connected regions in which region growing methods are well suited. Head MRI from eight normal volunteers were used to run the segmentation program and the result was validated by an MR neuroradiologist. Border elements can be included doing a small correction, white and gray matter were segmented easily and more complex functional areas can be obtained too.

Citation Download Citation

Leopoldo Gonzalez-Santos, Rafael R. Rojas, Juan H. Sossa-Azuela, and Fernando A. Barrios "MRI segmentation based on region growing with robust estimation", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348646

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