A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate

Abstract A computational algorithm was designed to produce a measure of DW image distortion across the prostate. This algorithm was tested and validated on virtual phantoms incorporating known degrees and distributions of distortion. A study was then carried out on DW image volumes from three sets o...

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Autores principales:	Andrew B. Gill, Marcin Czarniecki, Ferdia A. Gallagher, Tristan Barrett
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1cd0e49613004a1c8a3d807a7b30f763
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spelling	oai:doaj.org-article:1cd0e49613004a1c8a3d807a7b30f7632021-12-02T15:05:39ZA method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate10.1038/s41598-017-13097-62045-2322https://doaj.org/article/1cd0e49613004a1c8a3d807a7b30f7632017-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-13097-6https://doaj.org/toc/2045-2322Abstract A computational algorithm was designed to produce a measure of DW image distortion across the prostate. This algorithm was tested and validated on virtual phantoms incorporating known degrees and distributions of distortion. A study was then carried out on DW image volumes from three sets of 10 patients who had been imaged previously. These volumes had been radiologically assessed to have, respectively, ‘no distortion’ or ‘significant distortion’ or the potential for ‘significant distortion’ due to susceptibility effects from hip prostheses. Prostate outlines were drawn on a T2-weighted (T2W) image ‘gold-standard’ volume and on an ADC image volume derived from DW images acquired over the same region. The algorithm was then applied to these outlines to quantify and map image distortion. The proposed method correctly reproduced known distortion values and distributions in virtual phantoms. It also successfully distinguished between the three groups of patients: mean distortion in ‘non-distorted’ image volumes, 1.942 ± 0.582 mm; ‘distorted’, 4.402 ± 1.098 mm; and ‘hip patients’ 8.083 ± 4.653 mm; P < 0.001. This work has demonstrated and validated a means of quantifying and mapping image distortion in clinical prostate MRI cases.Andrew B. GillMarcin CzarnieckiFerdia A. GallagherTristan BarrettNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andrew B. Gill Marcin Czarniecki Ferdia A. Gallagher Tristan Barrett A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
description	Abstract A computational algorithm was designed to produce a measure of DW image distortion across the prostate. This algorithm was tested and validated on virtual phantoms incorporating known degrees and distributions of distortion. A study was then carried out on DW image volumes from three sets of 10 patients who had been imaged previously. These volumes had been radiologically assessed to have, respectively, ‘no distortion’ or ‘significant distortion’ or the potential for ‘significant distortion’ due to susceptibility effects from hip prostheses. Prostate outlines were drawn on a T2-weighted (T2W) image ‘gold-standard’ volume and on an ADC image volume derived from DW images acquired over the same region. The algorithm was then applied to these outlines to quantify and map image distortion. The proposed method correctly reproduced known distortion values and distributions in virtual phantoms. It also successfully distinguished between the three groups of patients: mean distortion in ‘non-distorted’ image volumes, 1.942 ± 0.582 mm; ‘distorted’, 4.402 ± 1.098 mm; and ‘hip patients’ 8.083 ± 4.653 mm; P < 0.001. This work has demonstrated and validated a means of quantifying and mapping image distortion in clinical prostate MRI cases.
format	article
author	Andrew B. Gill Marcin Czarniecki Ferdia A. Gallagher Tristan Barrett
author_facet	Andrew B. Gill Marcin Czarniecki Ferdia A. Gallagher Tristan Barrett
author_sort	Andrew B. Gill
title	A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
title_short	A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
title_full	A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
title_fullStr	A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
title_full_unstemmed	A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
title_sort	method for mapping and quantifying whole organ diffusion-weighted image distortion in mr imaging of the prostate
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/1cd0e49613004a1c8a3d807a7b30f763
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A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate

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