A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients

Joseph Ross Mitchell, P. Gareau, S. Karlik, B. Rutt

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

1 Citation (Scopus)

Abstract

We present a new method to extract data from multispectral MR exams of patients with Multiple Sclerosis. Our technique produces images of “spectral phase” relative to cerebro-spinal fluid (CSF-SP images). It provides a convenient way of reducing multispectral MR exams to a single, intuitive image with contrast characteristics similar to anatomical photographs. Our new images provide better tissue contrast than that found in any of the MR images. Contrast between CSF and white matter (WM) was increased from a maximum of 19.5 in the T1w MR image to 56 in the CSF-SP image (+187%). Contrast between CSF and gray matter (GM) increased from a maximum of 14.5 in the T1w image to 35.2 in the CSF-SP image (+143%). Finally, contrast between WM and GM increased from a maximum of 7.5 in the T2w image to 11.5 in the CSF-SP image (+53%). The additional contrast in CSF-SP images may aid the quantification and analysis of lesion activity in MR exams of MS patients.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages218-226
Number of pages9
Volume1679
ISBN (Print)354066503X, 9783540665038
StatePublished - 1999
Externally publishedYes
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: Sep 19 1999Sep 22 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1679
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
CountryUnited Kingdom
CityCambridge
Period9/19/999/22/99

Fingerprint

Post-processing
Tissue
Fluid
Fluids
Processing
Multiple Sclerosis
Quantification
Intuitive

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mitchell, J. R., Gareau, P., Karlik, S., & Rutt, B. (1999). A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1679, pp. 218-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679). Springer Verlag.

A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients. / Mitchell, Joseph Ross; Gareau, P.; Karlik, S.; Rutt, B.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1679 Springer Verlag, 1999. p. 218-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679).

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

Mitchell, JR, Gareau, P, Karlik, S & Rutt, B 1999, A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1679, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1679, Springer Verlag, pp. 218-226, 2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999, Cambridge, United Kingdom, 9/19/99.
Mitchell JR, Gareau P, Karlik S, Rutt B. A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1679. Springer Verlag. 1999. p. 218-226. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Mitchell, Joseph Ross ; Gareau, P. ; Karlik, S. ; Rutt, B. / A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1679 Springer Verlag, 1999. pp. 218-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{91ac0abb7de14ea086a0c35918d2c93f,
title = "A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients",
abstract = "We present a new method to extract data from multispectral MR exams of patients with Multiple Sclerosis. Our technique produces images of “spectral phase” relative to cerebro-spinal fluid (CSF-SP images). It provides a convenient way of reducing multispectral MR exams to a single, intuitive image with contrast characteristics similar to anatomical photographs. Our new images provide better tissue contrast than that found in any of the MR images. Contrast between CSF and white matter (WM) was increased from a maximum of 19.5 in the T1w MR image to 56 in the CSF-SP image (+187{\%}). Contrast between CSF and gray matter (GM) increased from a maximum of 14.5 in the T1w image to 35.2 in the CSF-SP image (+143{\%}). Finally, contrast between WM and GM increased from a maximum of 7.5 in the T2w image to 11.5 in the CSF-SP image (+53{\%}). The additional contrast in CSF-SP images may aid the quantification and analysis of lesion activity in MR exams of MS patients.",
author = "Mitchell, {Joseph Ross} and P. Gareau and S. Karlik and B. Rutt",
year = "1999",
language = "English (US)",
isbn = "354066503X",
volume = "1679",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "218--226",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - A post-processing technique to suppress fluid signal and increase contrast in multispectral MR exams of MS patients

AU - Mitchell, Joseph Ross

AU - Gareau, P.

AU - Karlik, S.

AU - Rutt, B.

PY - 1999

Y1 - 1999

N2 - We present a new method to extract data from multispectral MR exams of patients with Multiple Sclerosis. Our technique produces images of “spectral phase” relative to cerebro-spinal fluid (CSF-SP images). It provides a convenient way of reducing multispectral MR exams to a single, intuitive image with contrast characteristics similar to anatomical photographs. Our new images provide better tissue contrast than that found in any of the MR images. Contrast between CSF and white matter (WM) was increased from a maximum of 19.5 in the T1w MR image to 56 in the CSF-SP image (+187%). Contrast between CSF and gray matter (GM) increased from a maximum of 14.5 in the T1w image to 35.2 in the CSF-SP image (+143%). Finally, contrast between WM and GM increased from a maximum of 7.5 in the T2w image to 11.5 in the CSF-SP image (+53%). The additional contrast in CSF-SP images may aid the quantification and analysis of lesion activity in MR exams of MS patients.

AB - We present a new method to extract data from multispectral MR exams of patients with Multiple Sclerosis. Our technique produces images of “spectral phase” relative to cerebro-spinal fluid (CSF-SP images). It provides a convenient way of reducing multispectral MR exams to a single, intuitive image with contrast characteristics similar to anatomical photographs. Our new images provide better tissue contrast than that found in any of the MR images. Contrast between CSF and white matter (WM) was increased from a maximum of 19.5 in the T1w MR image to 56 in the CSF-SP image (+187%). Contrast between CSF and gray matter (GM) increased from a maximum of 14.5 in the T1w image to 35.2 in the CSF-SP image (+143%). Finally, contrast between WM and GM increased from a maximum of 7.5 in the T2w image to 11.5 in the CSF-SP image (+53%). The additional contrast in CSF-SP images may aid the quantification and analysis of lesion activity in MR exams of MS patients.

UR - http://www.scopus.com/inward/record.url?scp=22844455477&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=22844455477&partnerID=8YFLogxK

M3 - Conference contribution

SN - 354066503X

SN - 9783540665038

VL - 1679

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 218

EP - 226

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -