The effect of motion correction interpolation on quantitative T1 mapping with MRI

Amitay Nachmani, Roey Schurr, Leo Joskowicz, Aviv A. Mezer*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Quantitative magnetic resonance imaging (qMRI) is a technique for mapping the physical properties of the underlying tissue using several MR images with different contrasts. To overcome subject motion between the acquired images, it is necessary to register the images to a common reference frame. A drawback of registration is the use of interpolation and resampling techniques, which can introduce artifacts into the interpolated data. These artifacts could have unfavorable effects on the accuracy of the estimated tissue's physical properties. Here, we quantified the error of interpolation and resampling on T1-weighted images and studied its effects on the mapping of the longitudinal relaxation time (T1) using variable flip angles. We simulated T1-weighted images and calculated the transformation error resulting from interpolation and resampling. We found that the error is a function of the image contrast (i.e., flip angle) and of the translation and rotation of the image. Furthermore, we found that the error in the T1-weighted images has a substantial effect on the T1 estimation, of the order of 10% of the signal in the brain's gray and white matter. Hence, minimizing the registration error can enable more accurate in vivo modeling of brain microstructure.

Original languageAmerican English
Pages (from-to)119-127
Number of pages9
JournalMedical Image Analysis
Volume52
DOIs
StatePublished - Feb 2019

Bibliographical note

Publisher Copyright:
© 2018

Keywords

  • Interpolation and resampling error
  • Motion
  • Quantitative magnetic resonance imaging
  • Registration
  • T1 map

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