Texture analysis of MR images of minocycline treated MS patients

Yunyan Zhang; Hongmei Zhu; Ricardo Ferrari; Xingchang Wei; Michael Eliasziw; Luanne M. Metz; J. Ross Mitchell

doi:10.1007/978-3-540-39899-8_96

Texture analysis of MR images of minocycline treated MS patients

Yunyan Zhang, Hongmei Zhu, Ricardo Ferrari, Xingchang Wei, Michael Eliasziw, Luanne M. Metz, J. Ross Mitchell

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6 Scopus citations

Abstract

Texture analysis was applied to 3T brain MR images of 5 relapsing remitting MS patients before and after minocycline treatment. Texture features were used to quantify pathological changes that may be undetectable by conventional MR techniques. Active, inactive lesions and NAWM were chosen from MR images of MS patients one month before and six months after treatment. Texture features changed in all of the selected ROIs. Texture change in active lesions was greater than that in inactive lesions and NAWM. There was close relationship between texture changes in active lesions and NAWM. This preliminary work suggests that it may be possible to predict therapeutic response of MS patients using MRI texture analysis.

Original language	English (US)
Pages (from-to)	786-793
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2878
DOIs	https://doi.org/10.1007/978-3-540-39899-8_96
State	Published - 2003

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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title = "Texture analysis of MR images of minocycline treated MS patients",

abstract = "Texture analysis was applied to 3T brain MR images of 5 relapsing remitting MS patients before and after minocycline treatment. Texture features were used to quantify pathological changes that may be undetectable by conventional MR techniques. Active, inactive lesions and NAWM were chosen from MR images of MS patients one month before and six months after treatment. Texture features changed in all of the selected ROIs. Texture change in active lesions was greater than that in inactive lesions and NAWM. There was close relationship between texture changes in active lesions and NAWM. This preliminary work suggests that it may be possible to predict therapeutic response of MS patients using MRI texture analysis.",

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T1 - Texture analysis of MR images of minocycline treated MS patients

AU - Zhang, Yunyan

AU - Zhu, Hongmei

AU - Ferrari, Ricardo

AU - Wei, Xingchang

AU - Eliasziw, Michael

AU - Metz, Luanne M.

AU - Mitchell, J. Ross

PY - 2003

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N2 - Texture analysis was applied to 3T brain MR images of 5 relapsing remitting MS patients before and after minocycline treatment. Texture features were used to quantify pathological changes that may be undetectable by conventional MR techniques. Active, inactive lesions and NAWM were chosen from MR images of MS patients one month before and six months after treatment. Texture features changed in all of the selected ROIs. Texture change in active lesions was greater than that in inactive lesions and NAWM. There was close relationship between texture changes in active lesions and NAWM. This preliminary work suggests that it may be possible to predict therapeutic response of MS patients using MRI texture analysis.

AB - Texture analysis was applied to 3T brain MR images of 5 relapsing remitting MS patients before and after minocycline treatment. Texture features were used to quantify pathological changes that may be undetectable by conventional MR techniques. Active, inactive lesions and NAWM were chosen from MR images of MS patients one month before and six months after treatment. Texture features changed in all of the selected ROIs. Texture change in active lesions was greater than that in inactive lesions and NAWM. There was close relationship between texture changes in active lesions and NAWM. This preliminary work suggests that it may be possible to predict therapeutic response of MS patients using MRI texture analysis.

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Texture analysis of MR images of minocycline treated MS patients

Abstract

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