Quantitative analysis of brain tissues from magnetic resonance images

Smitha Sunil Kumaran Nair, K. Revathy

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

4 Citations (Scopus)

Abstract

This paper deals with an automatic and relatively efficient method for estimating intracranial volume from MR brain images. The proposed method consists of mainly three steps, namely skull removal, image segmentation and volume calculation. The present method uses morphological operations followed by 3D connected component labeling and image subtraction for extracting the brain mask from the original brain slices. The skull stripped images are then segmented into the three tissues namely Gray Matter, White Matter and Cerebrospinal fluid using an efficient clustering technique namely, Weighted k-means clustering algorithm followed by Expectation Maximization algorithm. Finally the volume of the segmented tissues is calculated using Cavalier's estimator of morphometric volume method and some sample results are presented. The proposed method gives reliable results for making quantitative analysis and diagnosis of tissues from Magnetic Resonance brain image slices.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009
Pages57-61
Number of pages5
DOIs
Publication statusPublished - 18-11-2009
Externally publishedYes
Event2009 International Conference on Digital Image Processing - Bangkok, Thailand
Duration: 07-03-200909-03-2009

Conference

Conference2009 International Conference on Digital Image Processing
CountryThailand
CityBangkok
Period07-03-0909-03-09

Fingerprint

Magnetic resonance
Brain
Tissue
Chemical analysis
Cerebrospinal fluid
Image segmentation
Clustering algorithms
Labeling
Masks

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Nair, S. S. K., & Revathy, K. (2009). Quantitative analysis of brain tissues from magnetic resonance images. In Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009 (pp. 57-61). [5190599] https://doi.org/10.1109/ICDIP.2009.34
Nair, Smitha Sunil Kumaran ; Revathy, K. / Quantitative analysis of brain tissues from magnetic resonance images. Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009. 2009. pp. 57-61
@inproceedings{99368e093b244d60ab5a75635fa68f54,
title = "Quantitative analysis of brain tissues from magnetic resonance images",
abstract = "This paper deals with an automatic and relatively efficient method for estimating intracranial volume from MR brain images. The proposed method consists of mainly three steps, namely skull removal, image segmentation and volume calculation. The present method uses morphological operations followed by 3D connected component labeling and image subtraction for extracting the brain mask from the original brain slices. The skull stripped images are then segmented into the three tissues namely Gray Matter, White Matter and Cerebrospinal fluid using an efficient clustering technique namely, Weighted k-means clustering algorithm followed by Expectation Maximization algorithm. Finally the volume of the segmented tissues is calculated using Cavalier's estimator of morphometric volume method and some sample results are presented. The proposed method gives reliable results for making quantitative analysis and diagnosis of tissues from Magnetic Resonance brain image slices.",
author = "Nair, {Smitha Sunil Kumaran} and K. Revathy",
year = "2009",
month = "11",
day = "18",
doi = "10.1109/ICDIP.2009.34",
language = "English",
isbn = "9780769535654",
pages = "57--61",
booktitle = "Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009",

}

Nair, SSK & Revathy, K 2009, Quantitative analysis of brain tissues from magnetic resonance images. in Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009., 5190599, pp. 57-61, 2009 International Conference on Digital Image Processing, Bangkok, Thailand, 07-03-09. https://doi.org/10.1109/ICDIP.2009.34

Quantitative analysis of brain tissues from magnetic resonance images. / Nair, Smitha Sunil Kumaran; Revathy, K.

Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009. 2009. p. 57-61 5190599.

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

TY - GEN

T1 - Quantitative analysis of brain tissues from magnetic resonance images

AU - Nair, Smitha Sunil Kumaran

AU - Revathy, K.

PY - 2009/11/18

Y1 - 2009/11/18

N2 - This paper deals with an automatic and relatively efficient method for estimating intracranial volume from MR brain images. The proposed method consists of mainly three steps, namely skull removal, image segmentation and volume calculation. The present method uses morphological operations followed by 3D connected component labeling and image subtraction for extracting the brain mask from the original brain slices. The skull stripped images are then segmented into the three tissues namely Gray Matter, White Matter and Cerebrospinal fluid using an efficient clustering technique namely, Weighted k-means clustering algorithm followed by Expectation Maximization algorithm. Finally the volume of the segmented tissues is calculated using Cavalier's estimator of morphometric volume method and some sample results are presented. The proposed method gives reliable results for making quantitative analysis and diagnosis of tissues from Magnetic Resonance brain image slices.

AB - This paper deals with an automatic and relatively efficient method for estimating intracranial volume from MR brain images. The proposed method consists of mainly three steps, namely skull removal, image segmentation and volume calculation. The present method uses morphological operations followed by 3D connected component labeling and image subtraction for extracting the brain mask from the original brain slices. The skull stripped images are then segmented into the three tissues namely Gray Matter, White Matter and Cerebrospinal fluid using an efficient clustering technique namely, Weighted k-means clustering algorithm followed by Expectation Maximization algorithm. Finally the volume of the segmented tissues is calculated using Cavalier's estimator of morphometric volume method and some sample results are presented. The proposed method gives reliable results for making quantitative analysis and diagnosis of tissues from Magnetic Resonance brain image slices.

UR - http://www.scopus.com/inward/record.url?scp=70449403663&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449403663&partnerID=8YFLogxK

U2 - 10.1109/ICDIP.2009.34

DO - 10.1109/ICDIP.2009.34

M3 - Conference contribution

SN - 9780769535654

SP - 57

EP - 61

BT - Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009

ER -

Nair SSK, Revathy K. Quantitative analysis of brain tissues from magnetic resonance images. In Proceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009. 2009. p. 57-61. 5190599 https://doi.org/10.1109/ICDIP.2009.34