Robust phase sensitive inversion recovery imaging using a Markov random field model

Ravindra M. Garach; Jim X. Ji; Lei Ying; Jingfei Ma

Robust phase sensitive inversion recovery imaging using a Markov random field model

Ravindra M. Garach, Jim X. Ji, Lei Ying, Jingfei Ma

Imaging Physics

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper presents a novel method for phase sensitive inversion recovery (PSIR) imaging for improved T₁ contrast. This method models the phase of the complex magnetic resonance image using a statistical model based on Markov Random Fields. A computationally efficient optimization method is developed. Computer simulations and in-vivo brain imaging experiments show that the proposed method can produce PSIR images with enhanced T₁ contrast and it is robust against high levels of data noise even when rapid phase variations are presented.

Original language	English (US)
Pages (from-to)	1569-1572
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	26 II
State	Published - 2004
Event	Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004

Keywords

Inversion recovery
Magnetic resonance imaging
Markov random field
Optimization
Phase sensitive inversion recovery

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

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title = "Robust phase sensitive inversion recovery imaging using a Markov random field model",

abstract = "This paper presents a novel method for phase sensitive inversion recovery (PSIR) imaging for improved T1 contrast. This method models the phase of the complex magnetic resonance image using a statistical model based on Markov Random Fields. A computationally efficient optimization method is developed. Computer simulations and in-vivo brain imaging experiments show that the proposed method can produce PSIR images with enhanced T1 contrast and it is robust against high levels of data noise even when rapid phase variations are presented.",

keywords = "Inversion recovery, Magnetic resonance imaging, Markov random field, Optimization, Phase sensitive inversion recovery",

author = "Garach, {Ravindra M.} and Ji, {Jim X.} and Lei Ying and Jingfei Ma",

note = "Copyright: Copyright 2008 Elsevier B.V., All rights reserved.; Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 ; Conference date: 01-09-2004 Through 05-09-2004",

year = "2004",

language = "English (US)",

volume = "26 II",

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T1 - Robust phase sensitive inversion recovery imaging using a Markov random field model

AU - Garach, Ravindra M.

AU - Ji, Jim X.

AU - Ying, Lei

AU - Ma, Jingfei

PY - 2004

Y1 - 2004

N2 - This paper presents a novel method for phase sensitive inversion recovery (PSIR) imaging for improved T1 contrast. This method models the phase of the complex magnetic resonance image using a statistical model based on Markov Random Fields. A computationally efficient optimization method is developed. Computer simulations and in-vivo brain imaging experiments show that the proposed method can produce PSIR images with enhanced T1 contrast and it is robust against high levels of data noise even when rapid phase variations are presented.

AB - This paper presents a novel method for phase sensitive inversion recovery (PSIR) imaging for improved T1 contrast. This method models the phase of the complex magnetic resonance image using a statistical model based on Markov Random Fields. A computationally efficient optimization method is developed. Computer simulations and in-vivo brain imaging experiments show that the proposed method can produce PSIR images with enhanced T1 contrast and it is robust against high levels of data noise even when rapid phase variations are presented.

KW - Inversion recovery

KW - Magnetic resonance imaging

KW - Markov random field

KW - Optimization

KW - Phase sensitive inversion recovery

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JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Robust phase sensitive inversion recovery imaging using a Markov random field model

Abstract

Keywords

ASJC Scopus subject areas

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