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Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts.

Publication ,  Journal Article
Wang, Y; Catindig, JA; Hilal, S; Soon, HW; Ting, E; Wong, TY; Venketasubramanian, N; Chen, C; Qiu, A
Published in: Neuroimage
May 1, 2012

Cerebral abnormalities such as white matter hyperintensity (WMH), cortical infarct (CI), and lacunar infarct (LI) are of clinical importance and frequently present in patients with stroke and dementia. Up to date, there are limited algorithms available to automatically delineate these cerebral abnormalities partially due to their complex appearance in MR images. In this paper, we describe an automated multi-stage segmentation approach for labeling the WMH, CI, and LI using multi-modal MR images. We first automatically segment brain tissues (white matter, gray matter, and CSF) based on the T1-weighted image and then identify hyperintense voxels based on the fluid attenuated inversion recovery (FLAIR) image. We finally label the WMH, CI, and LI based on the T1-weighted, T2-weighted, and FLAIR images. The segmentation accuracy is evaluated using a community-based sample of 272 old adults. Our results show that the automated segmentation of the WMH, CI, and LI is comparable with manual labeling in terms of spatial location, volume, and the number of lacunes. Additionally, the WMH volume is highly correlated with the visual grading score based on the Age-Related White Matter Changes (ARWMC) protocol. The evaluations against the manual labeling and ARWMC visual grading suggest that our algorithm provides reasonable segmentation accuracy for the WMH, CI, and LI.

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Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

May 1, 2012

Volume

60

Issue

4

Start / End Page

2379 / 2388

Location

United States

Related Subject Headings

  • Stroke, Lacunar
  • Stroke
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Cerebrovascular Disorders
 

Citation

APA
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MLA
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Wang, Y., Catindig, J. A., Hilal, S., Soon, H. W., Ting, E., Wong, T. Y., … Qiu, A. (2012). Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts. Neuroimage, 60(4), 2379–2388. https://doi.org/10.1016/j.neuroimage.2012.02.034
Wang, Yanbo, Joseree Ann Catindig, Saima Hilal, Hock Wei Soon, Eric Ting, Tien Yin Wong, Narayanaswamy Venketasubramanian, Christopher Chen, and Anqi Qiu. “Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts.Neuroimage 60, no. 4 (May 1, 2012): 2379–88. https://doi.org/10.1016/j.neuroimage.2012.02.034.
Wang Y, Catindig JA, Hilal S, Soon HW, Ting E, Wong TY, et al. Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts. Neuroimage. 2012 May 1;60(4):2379–88.
Wang, Yanbo, et al. “Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts.Neuroimage, vol. 60, no. 4, May 2012, pp. 2379–88. Pubmed, doi:10.1016/j.neuroimage.2012.02.034.
Wang Y, Catindig JA, Hilal S, Soon HW, Ting E, Wong TY, Venketasubramanian N, Chen C, Qiu A. Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts. Neuroimage. 2012 May 1;60(4):2379–2388.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

May 1, 2012

Volume

60

Issue

4

Start / End Page

2379 / 2388

Location

United States

Related Subject Headings

  • Stroke, Lacunar
  • Stroke
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Cerebrovascular Disorders