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Physical and digital phantoms for validating tractography and assessing artifacts.

Ivana Drobnjak1, Peter Neher2, Cyril Poupon3

  • 1Center for Medical Image Computing, Department of Computer Science, University College London, UK.

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|November 8, 2021
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Summary

Synthetic phantoms are crucial for validating fiber tractography, a key technique in diffusion-weighted magnetic resonance imaging (dMRI). This overview explores current dMRI phantom technologies and their role in advancing neuroscience and clinical applications.

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Fiber tractography, utilizing diffusion-weighted magnetic resonance imaging (dMRI), is essential for mapping white-matter bundles in vivo.
  • Validating tractography methods is challenging due to the indirect estimation of fiber tracts and the absence of a non-invasively observable ground truth in complex brain microstructures.
  • Synthetic phantoms serve as a critical substitute for in vivo data, enabling the validation of fiber tractography techniques.

Purpose of the Study:

  • To provide a comprehensive overview of the state-of-the-art in physical and digital dMRI phantoms for fiber tractography validation.
  • To address key questions regarding the utility, ideal characteristics, and availability of dMRI phantoms and associated tools.
  • To discuss the limitations and future potential of dMRI phantoms in neuroimaging research.

Main Methods:

  • Review and synthesis of current literature on dMRI phantoms for fiber tractography.
  • Analysis of existing physical and digital phantom types, datasets, and creation tools.
  • Discussion of the challenges and opportunities associated with dMRI phantom development and application.

Main Results:

  • Identification of synthetic phantoms as a widely employed and successful approach for validating fiber tractography.
  • Categorization and description of various dMRI phantom types and their applications.
  • Highlighting the availability of specific phantoms, datasets, and tools for the research community.

Conclusions:

  • dMRI phantoms are indispensable for rigorous validation of fiber tractography methods in both basic and clinical neuroscience.
  • Continued development of sophisticated phantoms is necessary to overcome current validation limitations.
  • Future research should focus on advancing phantom design, data generation, and tool development to enhance the reliability of in vivo tractography.