A new method for quantitative analysis of multiple scelerosis using MR images

D. Chen, Wei Huang, C. Christodoulou, L. Li, H. Qian, L. Krupp, Z. Liang

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

3 Citations (Scopus)

Abstract

A method for quantitative analysis of multiple sclerosis (MS) was presented. An automatic self-adaptive image segmentation algorithm was first employed to classify voxels in multi-spectral magnetic resonance (MR) images. The segmentation results from multi-spectral MR images were then combined to obtain reliable results. The volumes of brain tissues and cerebral spinal fluid (CSF) were finally extracted. Since it is fully automated, the results of the segmentation algorithm are completely reproducible. The repeatability of the presented method was evaluated on volunteer data sets. The variation is less than 0.2% for the intra-cranial volume, the whole brain volume, the central CSF, the white matter (WM) and the gray matter (GM). The variation of 3% for the entire CSF is mainly due to the peripheral CSF part, which has more partial volume effect and is less important than the central one. Methods for minimizing this variation are under investigation. These measurements demonstrate the potential for study on whole brain atrophy and cerebral atrophy. Feasibility studies on 14 MS patients were performed. The results are promising.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsC. Chen, A.V. Clough
Pages375-380
Number of pages6
Volume4321
DOIs
StatePublished - 2001
Externally publishedYes
EventMedical Imaging 2001: Physiology and Function from Multidimensional Images - Sandiego, CA, United States
Duration: Feb 18 2001Feb 20 2001

Other

OtherMedical Imaging 2001: Physiology and Function from Multidimensional Images
CountryUnited States
CitySandiego, CA
Period2/18/012/20/01

Fingerprint

Magnetic resonance
quantitative analysis
magnetic resonance
atrophy
brain
Brain
Fluids
fluids
Chemical analysis
Image segmentation
Tissue

Keywords

  • Adaptive segmentation
  • Brain atrophy
  • Multi-spectral MRI
  • Multipl sclerosis
  • Quantative analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Chen, D., Huang, W., Christodoulou, C., Li, L., Qian, H., Krupp, L., & Liang, Z. (2001). A new method for quantitative analysis of multiple scelerosis using MR images. In C. Chen, & A. V. Clough (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4321, pp. 375-380) https://doi.org/10.1117/12.428160

A new method for quantitative analysis of multiple scelerosis using MR images. / Chen, D.; Huang, Wei; Christodoulou, C.; Li, L.; Qian, H.; Krupp, L.; Liang, Z.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / C. Chen; A.V. Clough. Vol. 4321 2001. p. 375-380.

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

Chen, D, Huang, W, Christodoulou, C, Li, L, Qian, H, Krupp, L & Liang, Z 2001, A new method for quantitative analysis of multiple scelerosis using MR images. in C Chen & AV Clough (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 4321, pp. 375-380, Medical Imaging 2001: Physiology and Function from Multidimensional Images, Sandiego, CA, United States, 2/18/01. https://doi.org/10.1117/12.428160
Chen D, Huang W, Christodoulou C, Li L, Qian H, Krupp L et al. A new method for quantitative analysis of multiple scelerosis using MR images. In Chen C, Clough AV, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4321. 2001. p. 375-380 https://doi.org/10.1117/12.428160
Chen, D. ; Huang, Wei ; Christodoulou, C. ; Li, L. ; Qian, H. ; Krupp, L. ; Liang, Z. / A new method for quantitative analysis of multiple scelerosis using MR images. Proceedings of SPIE - The International Society for Optical Engineering. editor / C. Chen ; A.V. Clough. Vol. 4321 2001. pp. 375-380
@inproceedings{0dd5d832ce3047529e691bd937249d16,
title = "A new method for quantitative analysis of multiple scelerosis using MR images",
abstract = "A method for quantitative analysis of multiple sclerosis (MS) was presented. An automatic self-adaptive image segmentation algorithm was first employed to classify voxels in multi-spectral magnetic resonance (MR) images. The segmentation results from multi-spectral MR images were then combined to obtain reliable results. The volumes of brain tissues and cerebral spinal fluid (CSF) were finally extracted. Since it is fully automated, the results of the segmentation algorithm are completely reproducible. The repeatability of the presented method was evaluated on volunteer data sets. The variation is less than 0.2{\%} for the intra-cranial volume, the whole brain volume, the central CSF, the white matter (WM) and the gray matter (GM). The variation of 3{\%} for the entire CSF is mainly due to the peripheral CSF part, which has more partial volume effect and is less important than the central one. Methods for minimizing this variation are under investigation. These measurements demonstrate the potential for study on whole brain atrophy and cerebral atrophy. Feasibility studies on 14 MS patients were performed. The results are promising.",
keywords = "Adaptive segmentation, Brain atrophy, Multi-spectral MRI, Multipl sclerosis, Quantative analysis",
author = "D. Chen and Wei Huang and C. Christodoulou and L. Li and H. Qian and L. Krupp and Z. Liang",
year = "2001",
doi = "10.1117/12.428160",
language = "English (US)",
volume = "4321",
pages = "375--380",
editor = "C. Chen and A.V. Clough",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - A new method for quantitative analysis of multiple scelerosis using MR images

AU - Chen, D.

AU - Huang, Wei

AU - Christodoulou, C.

AU - Li, L.

AU - Qian, H.

AU - Krupp, L.

AU - Liang, Z.

PY - 2001

Y1 - 2001

N2 - A method for quantitative analysis of multiple sclerosis (MS) was presented. An automatic self-adaptive image segmentation algorithm was first employed to classify voxels in multi-spectral magnetic resonance (MR) images. The segmentation results from multi-spectral MR images were then combined to obtain reliable results. The volumes of brain tissues and cerebral spinal fluid (CSF) were finally extracted. Since it is fully automated, the results of the segmentation algorithm are completely reproducible. The repeatability of the presented method was evaluated on volunteer data sets. The variation is less than 0.2% for the intra-cranial volume, the whole brain volume, the central CSF, the white matter (WM) and the gray matter (GM). The variation of 3% for the entire CSF is mainly due to the peripheral CSF part, which has more partial volume effect and is less important than the central one. Methods for minimizing this variation are under investigation. These measurements demonstrate the potential for study on whole brain atrophy and cerebral atrophy. Feasibility studies on 14 MS patients were performed. The results are promising.

AB - A method for quantitative analysis of multiple sclerosis (MS) was presented. An automatic self-adaptive image segmentation algorithm was first employed to classify voxels in multi-spectral magnetic resonance (MR) images. The segmentation results from multi-spectral MR images were then combined to obtain reliable results. The volumes of brain tissues and cerebral spinal fluid (CSF) were finally extracted. Since it is fully automated, the results of the segmentation algorithm are completely reproducible. The repeatability of the presented method was evaluated on volunteer data sets. The variation is less than 0.2% for the intra-cranial volume, the whole brain volume, the central CSF, the white matter (WM) and the gray matter (GM). The variation of 3% for the entire CSF is mainly due to the peripheral CSF part, which has more partial volume effect and is less important than the central one. Methods for minimizing this variation are under investigation. These measurements demonstrate the potential for study on whole brain atrophy and cerebral atrophy. Feasibility studies on 14 MS patients were performed. The results are promising.

KW - Adaptive segmentation

KW - Brain atrophy

KW - Multi-spectral MRI

KW - Multipl sclerosis

KW - Quantative analysis

UR - http://www.scopus.com/inward/record.url?scp=0034864378&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034864378&partnerID=8YFLogxK

U2 - 10.1117/12.428160

DO - 10.1117/12.428160

M3 - Conference contribution

AN - SCOPUS:0034864378

VL - 4321

SP - 375

EP - 380

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Chen, C.

A2 - Clough, A.V.

ER -