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A method for dynamic subtraction MR imaging of the liver

BACKGROUND: 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...

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Autores principales: Mainardi, Luca T, Passera, Katia M, Lucesoli, Agnese, Potepan, Paolo, Setti, Ernesto, Musumeci, Renato
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1564010/
https://www.ncbi.nlm.nih.gov/pubmed/16759378
http://dx.doi.org/10.1186/1471-2342-6-5
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author Mainardi, Luca T
Passera, Katia M
Lucesoli, Agnese
Potepan, Paolo
Setti, Ernesto
Musumeci, Renato
author_facet Mainardi, Luca T
Passera, Katia M
Lucesoli, Agnese
Potepan, Paolo
Setti, Ernesto
Musumeci, Renato
author_sort Mainardi, Luca T
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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 t-test) and by a further 23% (0.096 ± 0.035 vs. 0.078 ± 0.031, p < 0.001, paired t-test) after non-rigid realignment. The overall average NMI increase was 31%. CONCLUSION: This new method for realigning dynamic contrast-enhanced 3D MR volumes of liver leads to subtraction images that enhance diagnostic possibilities for liver lesions.
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spelling pubmed-15640102006-09-14 A method for dynamic subtraction MR imaging of the liver Mainardi, Luca T Passera, Katia M Lucesoli, Agnese Potepan, Paolo Setti, Ernesto Musumeci, Renato BMC Med Imaging Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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 t-test) and by a further 23% (0.096 ± 0.035 vs. 0.078 ± 0.031, p < 0.001, paired t-test) after non-rigid realignment. The overall average NMI increase was 31%. CONCLUSION: This new method for realigning dynamic contrast-enhanced 3D MR volumes of liver leads to subtraction images that enhance diagnostic possibilities for liver lesions. BioMed Central 2006-06-07 /pmc/articles/PMC1564010/ /pubmed/16759378 http://dx.doi.org/10.1186/1471-2342-6-5 Text en Copyright © 2006 Mainardi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mainardi, Luca T
Passera, Katia M
Lucesoli, Agnese
Potepan, Paolo
Setti, Ernesto
Musumeci, Renato
A method for dynamic subtraction MR imaging of the liver
title 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_short A method for dynamic subtraction MR imaging of the liver
title_sort method for dynamic subtraction mr imaging of the liver
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1564010/
https://www.ncbi.nlm.nih.gov/pubmed/16759378
http://dx.doi.org/10.1186/1471-2342-6-5
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