MRI segmentation based on region growing with robust estimation

L. Gonzalez-Santos, R. Rojas, J. H. Sossa-Azuela, F. A. Barrios

Research output: Contribution to conferenceArticle

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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 a 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.
Original languageAmerican English
Pages880-885
Number of pages791
StatePublished - 1 Jan 1999
Externally publishedYes
EventProceedings of SPIE - The International Society for Optical Engineering -
Duration: 31 Aug 2007 → …

Conference

ConferenceProceedings of SPIE - The International Society for Optical Engineering
Period31/08/07 → …

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Cite this

Gonzalez-Santos, L., Rojas, R., Sossa-Azuela, J. H., & Barrios, F. A. (1999). MRI segmentation based on region growing with robust estimation. 880-885. Proceedings of SPIE - The International Society for Optical Engineering, .