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Geometric distortion correction in prostate diffusion-weighted MRI and its effect on quantitative apparent diffusion

Gabriel Nketiah1, Kirsten M Selnaes1,2, Elise Sandsmark1

  • 1Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.

Magnetic Resonance in Medicine
|September 2, 2017
PubMed
Summary
This summary is machine-generated.

Geometric distortion correction in diffusion-weighted imaging improves apparent diffusion coefficient (ADC) analysis for multiparametric prostate MRI. This enhancement aids in better spatial representation and accurate classification of prostate tissues.

Keywords:
MRIapparent diffusion coefficientdistortion correctionecho-planar diffusion-weighted imagingmultiparametric MRIprostate

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Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Multiparametric MRI (mpMRI) is crucial for prostate cancer detection and characterization.
  • Echo-planar imaging (EPI) sequences are susceptible to B0 inhomogeneity, causing geometric distortions.
  • Accurate quantitative analysis, such as apparent diffusion coefficient (ADC) mapping, is vital for reliable diagnosis.

Purpose of the Study:

  • To assess the impact of correcting B0 inhomogeneity-induced geometric distortion in EPI diffusion-weighted imaging (DWI).
  • To evaluate the effect of this correction on quantitative ADC analysis in multiparametric prostate MRI.

Main Methods:

  • Geometric distortion correction was applied to EPI DWI datasets (b=0, 50, 400, 800 s/mm²) from 28 patients.
  • Histology-matched tumor and healthy tissue regions of interest (ROIs) were mapped to corrected and uncorrected datasets.
  • ADC values were calculated at volume and voxel levels, and statistical models assessed the impact of correction on quantification and classification.

Main Results:

  • Without coregistration, significant associations were found between tumor ADC differences and distortion distance.
  • With coregistration, no significant associations were observed, indicating improved accuracy.
  • Distortion correction led to significantly better classification of healthy versus tumor voxels, especially in patients with rectal gas artifacts.

Conclusions:

  • Geometric distortion correction in DWI can enhance quantitative ADC analysis in multiparametric prostate MRI.
  • This correction improves spatial accuracy and aids in differentiating prostate tissues.
  • The findings suggest that distortion correction is a valuable step for robust ADC quantification in prostate MRI.