Brain portion segmentation from Magnetic Resonance Images(MRI) of human head scan using Richardson Lucy deconvolution and intensity thresholding

K Somasundaram,P A Kalaividya

doi:10.1109/icsec.2016.7859865

Brain portion segmentation from Magnetic Resonance Images(MRI) of human head scan using Richardson Lucy deconvolution and intensity thresholding

K Somasundaram, P A Kalaividya

https://doi.org/10.1109/icsec.2016.7859865

Copy DOI

Publication Date: Dec 1, 2016

Citations: 5

Affiliation: Gandhigram Rural Institute

#Richardson-Lucy Algorithm #Brain Portion + Show 8 more

Abstract
Full-Text
Similar Papers

Abstract

This article suggests a new scheme to extract brain portion from T1-W Coronal Magnetic Resonance Images (MRI) of human head scans. We propose that the Richardson-Lucy (RL) deconvolution algorithm can be employed to improve the boundary detection. Gaussian type point spread function(PSF) is assumed for the RL algorithm. The improved image is then subjected to binarization, morphological erosion and dilation, largest connected area to isolate the brain portion. Experiments with this scheme on 12 volumes of dataset collected from Internet Brain Segmentation Repository(IBSR) show that it performs better than the widely used Brain Surface Extractor(BSE) and Brain Extraction Tool(BET) methods.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.