Literature DB >> 25360990

Systematic analysis of the intravoxel incoherent motion threshold separating perfusion and diffusion effects: Proposal of a standardized algorithm.

Moritz C Wurnig1, Olivio F Donati1, Erika Ulbrich1, Lukas Filli1, David Kenkel1, Harriet C Thoeny2, Andreas Boss1.   

Abstract

PURPOSE: To systematically evaluate the dependence of intravoxel-incoherent-motion (IVIM) parameters on the b-value threshold separating the perfusion and diffusion compartment, and to implement and test an algorithm for the standardized computation of this threshold.
METHODS: Diffusion weighted images of the upper abdomen were acquired at 3 Tesla in eleven healthy male volunteers with 10 different b-values and in two healthy male volunteers with 16 different b-values. Region-of-interest IVIM analysis was applied to the abdominal organs and skeletal muscle with a systematic increase of the b-value threshold for computing pseudodiffusion D*, perfusion fraction Fp, diffusion coefficient D, and the sum of squared residuals to the bi-exponential IVIM-fit.
RESULTS: IVIM parameters strongly depended on the choice of the b-value threshold. The proposed algorithm successfully provided optimal b-value thresholds with the smallest residuals for all evaluated organs [s/mm2]: e.g., right liver lobe 20, spleen 20, right renal cortex 150, skeletal muscle 150. Mean D* [10(-3) mm(2)/s], Fp [%], and D [10(-3) mm(2)/s] values (±standard deviation) were: right liver lobe, 88.7 ± 42.5, 22.6 ± 7.4, 0.73 ± 0.12; right renal cortex: 11.5 ± 1.8, 18.3 ± 2.9, 1.68 ± 0.05; spleen: 41.9 ± 57.9, 8.2 ± 3.4, 0.69 ± 0.07; skeletal muscle: 21.7 ± 19.0; 7.4 ± 3.0; 1.36 ± 0.04.
CONCLUSION: IVIM parameters strongly depend upon the choice of the b-value threshold used for computation. The proposed algorithm may be used as a robust approach for IVIM analysis without organ-specific adaptation.
© 2014 Wiley Periodicals, Inc.

Keywords:  diffusion-weighted imaging; intravoxel incoherent motion; magnetic resonance; pseudodiffusion

Mesh:

Year:  2014        PMID: 25360990     DOI: 10.1002/mrm.25506

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  26 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

Review 2.  Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.

Authors:  Yi Xiang J Wang; Hua Huang; Cun-Jing Zheng; Ben-Heng Xiao; Olivier Chevallier; Wei Wang
Journal:  Am J Nucl Med Mol Imaging       Date:  2021-04-15

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

4.  Precision of region of interest-based tri-exponential intravoxel incoherent motion quantification and the role of the Intervoxel spatial distribution of flow velocities.

Authors:  Gregory Simchick; Diego Hernando
Journal:  Magn Reson Med       Date:  2022-08-15       Impact factor: 3.737

5.  Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors.

Authors:  Gene Young Cho; Linda Moy; Sungheon G Kim; Steven H Baete; Melanie Moccaldi; James S Babb; Daniel K Sodickson; Eric E Sigmund
Journal:  Eur Radiol       Date:  2015-11-28       Impact factor: 5.315

6.  Intravoxel incoherent motion analysis of abdominal organs: computation of reference parameters in a large cohort of C57Bl/6 mice and correlation to microvessel density.

Authors:  Christian Eberhardt; Moritz C Wurnig; Andrea Wirsching; Cristina Rossi; Markus Rottmar; Pinar S Özbay; Lukas Filli; Mickael Lesurtel; Andreas Boss
Journal:  MAGMA       Date:  2016-04-19       Impact factor: 2.310

7.  High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis.

Authors:  Hua Huang; Nazmi Che-Nordin; Li-Fei Wang; Ben-Heng Xiao; Olivier Chevallier; Yong-Xing Yun; Sheng-Wen Guo; Yì Xiáng J Wáng
Journal:  Ann Transl Med       Date:  2019-02

Review 8.  Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop.

Authors:  Bachir Taouli; Ambros J Beer; Thomas Chenevert; David Collins; Constance Lehman; Celso Matos; Anwar R Padhani; Andrew B Rosenkrantz; Amita Shukla-Dave; Eric Sigmund; Lawrence Tanenbaum; Harriet Thoeny; Isabelle Thomassin-Naggara; Sebastiano Barbieri; Idoia Corcuera-Solano; Matthew Orton; Savannah C Partridge; Dow-Mu Koh
Journal:  J Magn Reson Imaging       Date:  2016-02-19       Impact factor: 4.813

Review 9.  Non-Invasive Evaluation of Cerebral Microvasculature Using Pre-Clinical MRI: Principles, Advantages and Limitations.

Authors:  Bram Callewaert; Elizabeth A V Jones; Uwe Himmelreich; Willy Gsell
Journal:  Diagnostics (Basel)       Date:  2021-05-21

10.  Spleen and splenic vascular involvement in acute pancreatitis: an MRI study.

Authors:  Chao-Lian Xie; Mao Zhang; Yong Chen; Ran Hu; Meng-Yue Tang; Tian-Wu Chen; Hua-Dan Xue; Zheng-Yu Jin; Xiao-Ming Zhang
Journal:  Quant Imaging Med Surg       Date:  2018-04
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