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A concept for holistic whole body MRI data analysis, Imiomics

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  • Robin Strand
  • Filip Malmberg
  • Lars Johansson
  • Lars Lind
  • Magnus Sundbom
  • Håkan Ahlström
  • Joel Kullberg

Abstract

Purpose: To present and evaluate a whole-body image analysis concept, Imiomics (imaging–omics) and an image registration method that enables Imiomics analyses by deforming all image data to a common coordinate system, so that the information in each voxel can be compared between persons or within a person over time and integrated with non-imaging data. Methods: The presented image registration method utilizes relative elasticity constraints of different tissue obtained from whole-body water-fat MRI. Results: The image registration method evaluation on 128 subjects shows low inverse consistency errors and high Dice coefficients. Also, the statistical atlas with fat content intensity values shows low standard deviation values, indicating successful deformations to the common coordinate system. Conclusions: The registration method is well-suited for Imiomics analyses, which enable analyses of relationships to non-imaging data, e.g. clinical data, in new types of holistic targeted and untargeted big-data analysis.

Suggested Citation

  • Robin Strand & Filip Malmberg & Lars Johansson & Lars Lind & Magnus Sundbom & Håkan Ahlström & Joel Kullberg, 2017. "A concept for holistic whole body MRI data analysis, Imiomics," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-17, February.
    • Handle: RePEc:plo:pone00:0169966
    DOI: 10.1371/journal.pone.0169966
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