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A whole-body diffusion MRI normal atlas: development, evaluation and initial use.

Therese Sjöholm1, Sambit Tarai1, Filip Malmberg2

  • 1Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

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|September 14, 2023
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Summary
This summary is machine-generated.

Whole-body diffusion atlases at 1.5T and 3T were developed for healthy volunteers. These atlases improve automated tumor segmentation by incorporating healthy tissue variations, aiding in medical imaging analysis.

Keywords:
ADCAutomated segmentationLymphomaNormal atlasPrecisionVoxel-wise analysisWhole-body DWI

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Statistical atlases are crucial for analyzing healthy and patient populations in medical imaging.
  • Developing whole-body diffusion atlases at 1.5T and 3T magnetic resonance imaging (MRI) fields is essential for comprehensive analysis.
  • Evaluating these atlases by establishing normal Apparent Diffusion Coefficient (ADC) values and assessing healthy tissue deviations is key for clinical applications.

Purpose of the Study:

  • To create whole-body diffusion atlases from healthy volunteers scanned at 1.5T and 3T.
  • To establish whole-body Apparent Diffusion Coefficient (ADC) values for healthy tissues.
  • To integrate healthy tissue deviation data into automated tumor segmentation.

Main Methods:

  • Acquired multi-station whole-body Diffusion Weighted Imaging (DWI) and water-fat MRI from 45 healthy volunteers at 1.5T and 3T.
  • Utilized deformable image registration to create normal atlases and measured healthy tissue ADCmean with test-retest reliability.
  • Assessed effects of age, sex, and scanner on ADC, and applied atlases in an automated tumor segmentation task using a 3D U-Net architecture.

Main Results:

  • Developed sex- and Body Mass Index (BMI)-stratified whole-body DWI and ADC normal atlases at 1.5T and 3T.
  • Healthy tissue ADCmean repeatability coefficients (%RC) varied (4-48% at 1.5T, 6-70% at 3T), with measurable sex differences in specific tissues.
  • Age showed varying associations with ADC in liver, bone, and brain tissue; incorporating healthy tissue deviation data improved automated tumor segmentation metrics.

Conclusions:

  • Successfully created whole-body Diffusion Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) normal atlases at 1.5T and 3T.
  • Demonstrated the utility of these atlases in whole-body voxel-wise analyses, including automated tumor segmentation.
  • The developed atlases provide a valuable resource for quantitative MRI analysis in healthy populations and disease states.