The characterisation of mammalian tissue with 2D relaxation methods

Joshua Warner; Simon Donell; Kevin Wright; Luca Venturi; Brian Hills

doi:10.1016/j.mri.2010.03.015

The characterisation of mammalian tissue with 2D relaxation methods

Joshua Warner, Simon Donell, Kevin Wright, Luca Venturi, Brian Hills

Norwich Medical School

Research output: Contribution to journal › Article

10 Citations (Scopus)

Abstract

The potential of two-dimensional (2D) relaxometry for characterising mammalian tissue is explored on samples of liver, kidney (cortex, medulla and ureter) as well as cartilage. Significant differences are found between the T(1)-T(2) spectra of healthy and diseased human cartilage which suggests that 2D relaxometry could have potential use in clinical diagnosis. The effect of reducing the recovery delay on the T(1)-T(2) spectrum is explored to try to identify the optimum balance between speed and accuracy.

Original language	English
Pages (from-to)	971-981
Number of pages	11
Journal	Magnetic Resonance Imaging
Volume	28
Issue number	7
DOIs	https://doi.org/10.1016/j.mri.2010.03.015
Publication status	Published - Sep 2010

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10.1016/j.mri.2010.03.015

Cite this

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title = "The characterisation of mammalian tissue with 2D relaxation methods",

abstract = "The potential of two-dimensional (2D) relaxometry for characterising mammalian tissue is explored on samples of liver, kidney (cortex, medulla and ureter) as well as cartilage. Significant differences are found between the T(1)-T(2) spectra of healthy and diseased human cartilage which suggests that 2D relaxometry could have potential use in clinical diagnosis. The effect of reducing the recovery delay on the T(1)-T(2) spectrum is explored to try to identify the optimum balance between speed and accuracy.",

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AU - Wright, Kevin

AU - Venturi, Luca

AU - Hills, Brian

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AB - The potential of two-dimensional (2D) relaxometry for characterising mammalian tissue is explored on samples of liver, kidney (cortex, medulla and ureter) as well as cartilage. Significant differences are found between the T(1)-T(2) spectra of healthy and diseased human cartilage which suggests that 2D relaxometry could have potential use in clinical diagnosis. The effect of reducing the recovery delay on the T(1)-T(2) spectrum is explored to try to identify the optimum balance between speed and accuracy.

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DO - 10.1016/j.mri.2010.03.015

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