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An Online Repository for Pre-Clinical Imaging Protocols (PIPs).

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Summary
This summary is machine-generated.

Researchers can now use new protocol templates for positron emission tomography (PET), X-ray computed tomography (CT), and magnetic resonance imaging (MRI). These templates facilitate detailed, open-access sharing of quantitative imaging methods on protocols.io.

Keywords:
consortiaquantitative imagingreproducibilitytemplates

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Area of Science:

  • Quantitative imaging
  • Biomedical research
  • Scientific methodology

Background:

  • Traditional peer-reviewed journals often lack sufficient detail for complex methods, particularly in imaging.
  • Existing specialized journals may not adequately cover instrument validation or extensive statistical analysis.
  • Researchers face time constraints, limiting their ability to document methods thoroughly.

Purpose of the Study:

  • To introduce standardized protocol templates for positron emission tomography (PET), X-ray computed tomography (CT), and magnetic resonance imaging (MRI).
  • To provide a platform for quantitative imaging experts to self-publish detailed experimental protocols.
  • To enhance the accessibility, searchability, and reproducibility of imaging research methods.

Main Methods:

  • Development of protocol templates tailored for PET, CT, and MRI.
  • Leveraging the protocols.io platform for self-publishing detailed protocols.
  • Encouraging authors to link detailed protocols to their peer-reviewed publications.

Main Results:

  • Creation of easily usable, accessible, and searchable protocol templates.
  • Establishment of an open-access resource for detailed imaging protocols.
  • Protocols are designed to be editable and citable, fostering community feedback.

Conclusions:

  • The new templates address the need for detailed methods in quantitative imaging, balancing depth with researcher time.
  • This initiative promotes open science principles by making detailed protocols readily available.
  • The protocol templates aim to improve the reproducibility and transparency of imaging research.