Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image distortions caused by eddy current and patient motion have been two major sources of the mis-registration issues in diffusion tensor imaging (DTI). Numerous registration methods have been proposed to correct them. However, quality control of DTI remains an important issue, because we rarely report how much mis-registration existed and how well they were corrected. In this paper, we propose a method for quantitative reporting of DTI data quality. This registration method minimizes a cost function based on mean square tensor fitting errors. Registration with twelve-parameter full affine transformation is used. From the registration result, distortion and motion parameters are estimated. Because the translation parameters involve both eddy-current-induced image translation and the patient motion, by analyzing the transformation model, we separate them by removing the contributions that are linearly correlated with diffusion gradients. We define the metrics measuring the amounts of distortion, rotation, translation. We tested our method on a database with 64 subjects and found the statistics of each of metrics. Finally we demonstrate that how these statistics can be used for assessing the data quality quantitatively in several examples.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2012
Subtitle of host publicationImage Processing
DOIs
StatePublished - May 14 2012
EventMedical Imaging 2012: Image Processing - San Diego, CA, United States
Duration: Feb 6 2012Feb 9 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8314
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2012: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/6/122/9/12

Keywords

  • Affine
  • Diffusion tensor imaging
  • Distortion
  • Eddy current
  • Motion
  • Registration

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Li, Y., Jiang, H., & Mori, S. (2012). Quantitative assessment of mis-registration issues of diffusion tensor imaging (DTI). In Medical Imaging 2012: Image Processing [83141Y] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8314). https://doi.org/10.1117/12.911129