Literature DB >> 26646306

Minimizing the Acquisition Time for Intravoxel Incoherent Motion Magnetic Resonance Imaging Acquisitions in the Liver and Pancreas.

Oliver J Gurney-Champion1, Martijn Froeling, Remy Klaassen, Jurgen H Runge, Arjan Bel, Hanneke W M van Laarhoven, Jaap Stoker, Aart J Nederveen.   

Abstract

OBJECTIVES: The aim of this study was to determine the combination of b-values and signal averages for diffusion-weighted image acquisitions that render the minimum acquisition time necessary to obtain values of the intravoxel incoherent motion (IVIM) model parameters in vivo in the pancreas or liver with acceptable reproducibility.
MATERIALS AND METHODS: For 16 volunteers, diffusion-weighted images, with 14 b-values and 9 acquisitions per b-value, were acquired in 2 scan sessions. The IVIM model was fitted to data from lesion-sized regions of interest (ROIs) (1.7 cm(3)) as well as organ-sized ROIs in the pancreas and liver. By deleting data during analyzes, the IVIM model parameters, D and f, could be determined as a function of the number of b-values as well as the number of measurements per b-value taken along. For the IVIM model parameters, we examined the behavior reproducibility, in the form of the within-subject coefficient of variation (CVw), as a function of the amount of data taken along in the fits. Finally, we determined the minimum acquisition time required as a function of CVw. RESULT: For the lesion-sized ROI, the intersession CVws were 8%/46% and 13%/55% for D/f in the pancreas and liver, respectively, when all data were taken along. For 1.2 times larger CVws, acquisition in the pancreas could be done in 5:15 minutes using 9 acquisitions per b-value at b = 0, 30, 50, 65, 100, 375, and 500 mm(-2)s and for the liver in 2:15 using 9 acquisitions per b-value at b = 0, 40, and 500 mm(-2)s.
CONCLUSIONS: Acquiring 7 b-values in the pancreas and 3 b-values in the liver only decreases the reproducibility by 20% compared with an acquisition with 14 b-values. The understanding of the behavior of reproducibility as a function of b-values and acquisitions per b-values scanned will help researchers select the shortest IVIM protocol.

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Mesh:

Year:  2016        PMID: 26646306     DOI: 10.1097/RLI.0000000000000225

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  12 in total

Review 1.  Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation.

Authors:  Yáo T Li; Jean-Pierre Cercueil; Jing Yuan; Weitian Chen; Romaric Loffroy; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2017-02

2.  Scan time reduction in diffusion-weighted imaging of the pancreas using a simultaneous multislice technique with different acceleration factors: How fast can we go?

Authors:  Jana Taron; Petros Martirosian; Thomas Kuestner; Nina F Schwenzer; Ahmed Othman; Jakob Weiß; Mike Notohamiprodjo; Konstantin Nikolaou; Christina Schraml
Journal:  Eur Radiol       Date:  2017-11-13       Impact factor: 5.315

3.  Cardiac-gated intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for the investigation of intracranial cerebrospinal fluid dynamics in the lateral ventricle: a feasibility study.

Authors:  Eddie Surer; Cristina Rossi; Anton S Becker; Tim Finkenstaedt; Moritz C Wurnig; Antonios Valavanis; Sebastian Winklhofer
Journal:  Neuroradiology       Date:  2018-02-22       Impact factor: 2.804

Review 4.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

5.  The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy.

Authors:  Rutger H J Fick; Demian Wassermann; Rachid Deriche
Journal:  Front Neuroinform       Date:  2019-10-15       Impact factor: 4.081

6.  Principal component analysis fosr fast and model-free denoising of multi b-value diffusion-weighted MR images.

Authors:  Oliver J Gurney-Champion; David J Collins; Andreas Wetscherek; Mihaela Rata; Remy Klaassen; Hanneke W M van Laarhoven; Kevin J Harrington; Uwe Oelfke; Matthew R Orton
Journal:  Phys Med Biol       Date:  2019-05-17       Impact factor: 3.609

7.  Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients.

Authors:  Oliver J Gurney-Champion; Remy Klaassen; Martijn Froeling; Sebastiano Barbieri; Jaap Stoker; Marc R W Engelbrecht; Johanna W Wilmink; Marc G Besselink; Arjan Bel; Hanneke W M van Laarhoven; Aart J Nederveen
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

8.  Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience.

Authors:  Remy Klaassen; Anne Steins; Oliver J Gurney-Champion; Maarten F Bijlsma; Geertjan van Tienhoven; Marc R W Engelbrecht; Casper H J van Eijck; Mustafa Suker; Johanna W Wilmink; Marc G Besselink; Olivier R Busch; Onno J de Boer; Marc J van de Vijver; Gerrit K J Hooijer; Joanne Verheij; Jaap Stoker; Aart J Nederveen; Hanneke W M van Laarhoven
Journal:  Mol Oncol       Date:  2020-06-23       Impact factor: 6.603

9.  Optimal acquisition scheme for flow-compensated intravoxel incoherent motion diffusion-weighted imaging in the abdomen: An accurate and precise clinically feasible protocol.

Authors:  Oliver J Gurney-Champion; Susanne S Rauh; Kevin Harrington; Uwe Oelfke; Frederik B Laun; Andreas Wetscherek
Journal:  Magn Reson Med       Date:  2019-09-30       Impact factor: 4.668

10.  An optimal acquisition and post-processing pipeline for hybrid IVIM-DKI in head and neck.

Authors:  Nienke D Sijtsema; Steven F Petit; Dirk H J Poot; Gerda M Verduijn; Aad van der Lugt; Mischa S Hoogeman; Juan A Hernandez-Tamames
Journal:  Magn Reson Med       Date:  2020-08-31       Impact factor: 4.668

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