Literature DB >> 25832079

Spatially constrained incoherent motion method improves diffusion-weighted MRI signal decay analysis in the liver and spleen.

Vahid Taimouri1, Onur Afacan1, Jeannette M Perez-Rossello2, Michael J Callahan2, Robert V Mulkern2, Simon K Warfield1, Moti Freiman1.   

Abstract

PURPOSE: To evaluate the effect of the spatially constrained incoherent motion (SCIM) method on improving the precision and robustness of fast and slow diffusion parameter estimates from diffusion-weighted MRI in liver and spleen in comparison to the independent voxel-wise intravoxel incoherent motion (IVIM) model.
METHODS: We collected diffusion-weighted MRI (DW-MRI) data of 29 subjects (5 healthy subjects and 24 patients with Crohn's disease in the ileum). We evaluated parameters estimates' robustness against different combinations of b-values (i.e., 4 b-values and 7 b-values) by comparing the variance of the estimates obtained with the SCIM and the independent voxel-wise IVIM model. We also evaluated the improvement in the precision of parameter estimates by comparing the coefficient of variation (CV) of the SCIM parameter estimates to that of the IVIM.
RESULTS: The SCIM method was more robust compared to IVIM (up to 70% in liver and spleen) for different combinations of b-values. Also, the CV values of the parameter estimations using the SCIM method were significantly lower compared to repeated acquisition and signal averaging estimated using IVIM, especially for the fast diffusion parameter in liver (CVIV IM = 46.61 ± 11.22, CVSCIM = 16.85 ± 2.160, p < 0.001) and spleen (CVIV IM = 95.15 ± 19.82, CVSCIM = 52.55 ± 1.91, p < 0.001).
CONCLUSIONS: The SCIM method characterizes fast and slow diffusion more precisely compared to the independent voxel-wise IVIM model fitting in the liver and spleen.

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Year:  2015        PMID: 25832079      PMCID: PMC4376755          DOI: 10.1118/1.4915495

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  31 in total

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Authors:  Dow-Mu Koh; David J Collins; Matthew R Orton
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3.  Active Crohn's disease in the small bowel: evaluation by diffusion weighted imaging and quantitative dynamic contrast enhanced MR imaging.

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5.  Intravoxel incoherent motion diffusion-weighted MR imaging of the liver: effect of triggering methods on regional variability and measurement repeatability of quantitative parameters.

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7.  Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study.

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Authors:  Moti Freiman; Jeannette M Perez-Rossello; Michael J Callahan; Mark Bittman; Robert V Mulkern; Athos Bousvaros; Simon K Warfield
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9.  The effect of low b-values on the intravoxel incoherent motion derived pseudodiffusion parameter in liver.

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10.  Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases.

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  5 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.  Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion.

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Journal:  MAGMA       Date:  2017-11-06       Impact factor: 2.310

3.  Self-supervised IVIM DWI parameter estimation with a physics based forward model.

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Journal:  Magn Reson Med       Date:  2021-10-22       Impact factor: 4.668

4.  Intravoxel Incoherent Motion Model in Differentiating the Pathological Grades of Esophageal Carcinoma: Comparison of Mono-Exponential and Bi-Exponential Fit Model.

Authors:  Nian Liu; Xiongxiong Yang; Lixing Lei; Ke Pan; Qianqian Liu; Xiaohua Huang
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5.  Optimal acquisition scheme for flow-compensated intravoxel incoherent motion diffusion-weighted imaging in the abdomen: An accurate and precise clinically feasible protocol.

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Journal:  Magn Reson Med       Date:  2019-09-30       Impact factor: 4.668

  5 in total

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