Impact of the calculation algorithm on biexponential fitting of diffusion-weighted MRI in upper abdominal organs

Published on May 1, 2016in Magnetic Resonance in Medicine4.668
· DOI :10.1002/MRM.25765
Sebastiano Barbieri14
Estimated H-index: 14
,
Olivio F. Donati29
Estimated H-index: 29
(UZH: University of Zurich)
+ 1 AuthorsHarriet C. Thoeny51
Estimated H-index: 51
Sources
Abstract
PURPOSE: To compare the variability, precision, and accuracy of six different algorithms (Levenberg-Marquardt, Trust-Region, Fixed-Dp , Segmented-Unconstrained, Segmented-Constrained, and Bayesian-Probability) for computing intravoxel-incoherent-motion-related parameters in upper abdominal organs. METHODS: Following the acquisition of abdominal diffusion-weighted magnetic resonance images of 10 healthy men, six distinct algorithms were employed to compute intravoxel-incoherent-motion-related parameters in the left and right liver lobe, pancreas, spleen, renal cortex, and renal medulla. Algorithms were evaluated regarding inter-reader and intersubject variability. Comparability of results was assessed by analyses of variance. The algorithms' precision and accuracy were investigated on simulated data. RESULTS: A Bayesian-Probability based approach was associated with very low inter-reader variability (average Intraclass Correlation Coefficients: 96.5-99.6%), the lowest inter-subject variability (Coefficients of Variation [CV] for the pure diffusion coefficient Dt : 3.8% in the renal medulla, 6.6% in the renal cortex, 10.4-12.1% in the left and right liver lobe, 15.3% in the spleen, 15.8% in the pancreas; for the perfusion fraction Fp : 15.5% on average; for the pseudodiffusion coefficient Dp : 25.8% on average), and the highest precision and accuracy. Results differed significantly (P < 0.05) across algorithms in all anatomical regions. CONCLUSION: The Bayesian-Probability algorithm should be preferred when computing intravoxel-incoherent-motion-related parameters in upper abdominal organs. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.
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#1Moritz C. Wurnig (UZH: University of Zurich)H-Index: 22
#2Olivio F. Donati (UZH: University of Zurich)H-Index: 29
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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 anal...
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#1Andrew R. Hoy (UW: University of Wisconsin-Madison)H-Index: 9
#2Cheng Guan Koay (UW: University of Wisconsin-Madison)H-Index: 9
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Abstract Diffusion tensor imaging is used to measure the diffusion of water in tissue. The diffusion properties carry information about the relative organization and structure of the underlying tissue. In the case of a single voxel containing both tissue and a fast diffusing component such as free water, a single diffusion tensor is no longer appropriate. A two-tensor free water elimination model has previously been proposed to correct for the case of volume mixing. Here, this model was implemen...
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#1Olivio F. Donati (UZH: University of Zurich)H-Index: 29
#2Asim Afaq (NIHR: National Institute for Health Research)H-Index: 14
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Purpose To investigate whether tumor volume derived from apparent diffusion coefficient (ADC) maps (VolumeADC) and tumor mean ADC value (ADCmean) are independent predictors of prostate tumor Gleason score (GS). Materials and Methods Tumor volume and GS were recorded from whole-mount histopathology for 131 men (median age, 60) who underwent endorectal diffusion-weighted magnetic resonance imaging for local staging of prostate cancer before prostatectomy. VolumeADC and ADCmean were derived from AD...
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#1Olivio F. Donati (UZH: University of Zurich)H-Index: 29
#2Daniel G. Q. Chong (University of Bern)H-Index: 5
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The particular vendor of an MR imager influences apparent diffusion coefficient values in the upper abdomen to a lesser extent at 1.5 T than at 3.0 T.
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Intravoxel incoherent motion diffusion-weighted MR imaging may provide a noninvasive diagnostic option for differentiation of early stage nonalcoholic steatohepatitis from simple steatosis and determination of the severity of nonalcoholic fatty liver disease.
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#1Koung Mi Kang (SNU: Seoul National University)H-Index: 17
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Intravoxel incoherent motion can be applied for liver fibrosis detection with good image quality and acceptable reproducibility by using a respiratory-triggered bipolar diffusion-weighted sequence and has potential to enable users to distinguish between healthy subjects and patients with a fibrotic liver.
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Diffusion-weighted imaging (DWI) is sensitive to the mobility of water molecule at cellular and macromolecular level, much smaller than the spatial resolution of the images. It is commonly based on single shot echo-planar imaging sequence with the addition of motion-probing gradient pulses and fat suppression. DWI is increasingly incorporated into routine body magnetic resonance imaging protocols. However, the liver is particularly affected by physiological motions such as respiration; the left ...
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Diffusion weighted imaging (DWI) and intravoxel incoherent motion (IVIM) have been explored to assess liver tumors and diffused liver diseases. IVIM reflects the microscopic translational motions that occur in voxels in magnetic resonance (MR) DWI. In biologic tissues, molecular diffusion of water and microcirculation of blood in the capillary network can be assessed using IVIM DWI. The most commonly applied model to describe the DWI signal is a bi-exponential model, with a slow compartment of d...
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