A method for dynamic subtraction MR imaging of the liver

<p>Abstract</p> <p>Background</p> <p>Subtraction of Dynamic Contrast-Enhanced 3D Magnetic Resonance (DCE-MR) volumes can result in images that depict and accurately characterize a variety of liver lesions. However, the diagnostic utility of subtraction images depends on...

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Main Authors: Setti Ernesto, Potepan Paolo, Lucesoli Agnese, Passera Katia M, Mainardi Luca T, Musumeci Renato
Format: Article
Language:English
Published: BMC 2006-06-01
Series:BMC Medical Imaging
Online Access:http://www.biomedcentral.com/1471-2342/6/5
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spelling doaj-0be05a8def754460ac8eeb6090ce4eae2020-11-24T22:22:57ZengBMCBMC Medical Imaging1471-23422006-06-0161510.1186/1471-2342-6-5A method for dynamic subtraction MR imaging of the liverSetti ErnestoPotepan PaoloLucesoli AgnesePassera Katia MMainardi Luca TMusumeci Renato<p>Abstract</p> <p>Background</p> <p>Subtraction of Dynamic Contrast-Enhanced 3D Magnetic Resonance (DCE-MR) volumes can result in images that depict and accurately characterize a variety of liver lesions. However, the diagnostic utility of subtraction images depends on the extent of co-registration between non-enhanced and enhanced volumes. Movement of liver structures during acquisition must be corrected prior to subtraction. Currently available methods are computer intensive. We report a new method for the dynamic subtraction of MR liver images that does not require excessive computer time.</p> <p>Methods</p> <p>Nineteen consecutive patients (median age 45 years; range 37–67) were evaluated by VIBE T1-weighted sequences (TR 5.2 ms, TE 2.6 ms, flip angle 20°, slice thickness 1.5 mm) acquired before and 45s after contrast injection. Acquisition parameters were optimized for best portal system enhancement. Pre and post-contrast liver volumes were realigned using our 3D registration method which combines: (a) rigid 3D translation using maximization of normalized mutual information (NMI), and (b) fast 2D non-rigid registration which employs a complex discrete wavelet transform algorithm to maximize pixel phase correlation and perform multiresolution analysis. Registration performance was assessed quantitatively by NMI.</p> <p>Results</p> <p>The new registration procedure was able to realign liver structures in all 19 patients. NMI increased by about 8% after rigid registration (native vs. rigid registration 0.073 ± 0.031 vs. 0.078 ± 0.031, n.s., paired <it>t</it>-test) and by a further 23% (0.096 ± 0.035 vs. 0.078 ± 0.031, p < 0.001, paired <it>t</it>-test) after non-rigid realignment. The overall average NMI increase was 31%.</p> <p>Conclusion</p> <p>This new method for realigning dynamic contrast-enhanced 3D MR volumes of liver leads to subtraction images that enhance diagnostic possibilities for liver lesions.</p> http://www.biomedcentral.com/1471-2342/6/5
collection DOAJ
language English
format Article
sources DOAJ
author Setti Ernesto
Potepan Paolo
Lucesoli Agnese
Passera Katia M
Mainardi Luca T
Musumeci Renato
spellingShingle Setti Ernesto
Potepan Paolo
Lucesoli Agnese
Passera Katia M
Mainardi Luca T
Musumeci Renato
A method for dynamic subtraction MR imaging of the liver
BMC Medical Imaging
author_facet Setti Ernesto
Potepan Paolo
Lucesoli Agnese
Passera Katia M
Mainardi Luca T
Musumeci Renato
author_sort Setti Ernesto
title A method for dynamic subtraction MR imaging of the liver
title_short A method for dynamic subtraction MR imaging of the liver
title_full A method for dynamic subtraction MR imaging of the liver
title_fullStr A method for dynamic subtraction MR imaging of the liver
title_full_unstemmed A method for dynamic subtraction MR imaging of the liver
title_sort method for dynamic subtraction mr imaging of the liver
publisher BMC
series BMC Medical Imaging
issn 1471-2342
publishDate 2006-06-01
description <p>Abstract</p> <p>Background</p> <p>Subtraction of Dynamic Contrast-Enhanced 3D Magnetic Resonance (DCE-MR) volumes can result in images that depict and accurately characterize a variety of liver lesions. However, the diagnostic utility of subtraction images depends on the extent of co-registration between non-enhanced and enhanced volumes. Movement of liver structures during acquisition must be corrected prior to subtraction. Currently available methods are computer intensive. We report a new method for the dynamic subtraction of MR liver images that does not require excessive computer time.</p> <p>Methods</p> <p>Nineteen consecutive patients (median age 45 years; range 37–67) were evaluated by VIBE T1-weighted sequences (TR 5.2 ms, TE 2.6 ms, flip angle 20°, slice thickness 1.5 mm) acquired before and 45s after contrast injection. Acquisition parameters were optimized for best portal system enhancement. Pre and post-contrast liver volumes were realigned using our 3D registration method which combines: (a) rigid 3D translation using maximization of normalized mutual information (NMI), and (b) fast 2D non-rigid registration which employs a complex discrete wavelet transform algorithm to maximize pixel phase correlation and perform multiresolution analysis. Registration performance was assessed quantitatively by NMI.</p> <p>Results</p> <p>The new registration procedure was able to realign liver structures in all 19 patients. NMI increased by about 8% after rigid registration (native vs. rigid registration 0.073 ± 0.031 vs. 0.078 ± 0.031, n.s., paired <it>t</it>-test) and by a further 23% (0.096 ± 0.035 vs. 0.078 ± 0.031, p < 0.001, paired <it>t</it>-test) after non-rigid realignment. The overall average NMI increase was 31%.</p> <p>Conclusion</p> <p>This new method for realigning dynamic contrast-enhanced 3D MR volumes of liver leads to subtraction images that enhance diagnostic possibilities for liver lesions.</p>
url http://www.biomedcentral.com/1471-2342/6/5
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