Integrated procedure for segmentation of cortical surface from brain MRI

V. H. Sharva, J. Rajat, P. Pooja, H. Anitha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Integration of multiple modalities like MRI with MEG/EEG plays a key role in localizing the neuronal activity with a given latency. This process is called co-registration. In this work we will discuss a three step procedure to prepare raw MRI data for co-registration. The primary requirement from the brain MR images is the extraction of the cortical surface of the brain. In order to perform cortical surface extraction, the acquired MR images are pre-processed to strip unwanted components, remove noise and avoid partial volume effect. This is achieved with the application of a skull stripping method based on hole-filling, dilation and erosion followed by anisotropic diffusion based filtering of the skull stripped images. Marker-based watershed segmentation is then performed to extract the cortical surface which can then be used for co-registration.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages813-816
Number of pages4
ISBN (Electronic)9781509007745
DOIs
Publication statusPublished - 05-01-2017
Event1st IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Bangalore, India
Duration: 20-05-201621-05-2016

Conference

Conference1st IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016
CountryIndia
CityBangalore
Period20-05-1621-05-16

Fingerprint

Magnetic resonance imaging
Brain
Electroencephalography
Watersheds
Erosion

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Sharva, V. H., Rajat, J., Pooja, P., & Anitha, H. (2017). Integrated procedure for segmentation of cortical surface from brain MRI. In 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings (pp. 813-816). [7807939] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTEICT.2016.7807939
Sharva, V. H. ; Rajat, J. ; Pooja, P. ; Anitha, H. / Integrated procedure for segmentation of cortical surface from brain MRI. 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 813-816
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Sharva, VH, Rajat, J, Pooja, P & Anitha, H 2017, Integrated procedure for segmentation of cortical surface from brain MRI. in 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings., 7807939, Institute of Electrical and Electronics Engineers Inc., pp. 813-816, 1st IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016, Bangalore, India, 20-05-16. https://doi.org/10.1109/RTEICT.2016.7807939

Integrated procedure for segmentation of cortical surface from brain MRI. / Sharva, V. H.; Rajat, J.; Pooja, P.; Anitha, H.

2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 813-816 7807939.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Sharva VH, Rajat J, Pooja P, Anitha H. Integrated procedure for segmentation of cortical surface from brain MRI. In 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 813-816. 7807939 https://doi.org/10.1109/RTEICT.2016.7807939