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Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing

Sarah A Mattonen1,2,3, Dev Gude1, Sebastian Echegaray1

  • 1Stanford University, Department of Radiology, Stanford, California, United States.

Journal of Medical Imaging (Bellingham, Wash.)
|March 25, 2020
PubMed
Summary
This summary is machine-generated.

Quantitative image features (QIFP) offer valuable cancer biomarkers but lack accessible tools. The QIFP provides an open-source, web-based GUI for image analysis, enabling biomarker development without coding expertise.

Keywords:
feature extractionmachine learningmedical image analysisprocessing pipelineradiomics

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Area of Science:

  • Medical imaging analysis
  • Radiomics
  • Computational pathology

Background:

  • Quantitative image features serve as biomarkers for cancer biology, treatment response, and clinical outcomes.
  • Clinical implementation of these biomarkers is hindered by a lack of shared software, tools for model evaluation, and the need for programming expertise.

Purpose of the Study:

  • To introduce the Quantitative Image Feature Pipeline (QIFP), an open-source, web-based graphical user interface (GUI).
  • To provide researchers and clinicians with a code-free solution for processing and analyzing medical images.
  • To facilitate the development and validation of new imaging biomarkers for clinical trials.

Main Methods:

  • Developed an open-source, web-based GUI (QIFP) for configurable quantitative image-processing pipelines.
  • Integrated tools for data uploading (imaging, segmentation, clinical data) and access to public datasets.
  • Included a library of algorithms for file conversion, segmentation, feature extraction, and machine learning.
  • Provided an interface for uploading custom algorithms via Docker containers.

Main Results:

  • The QIFP enables GUI-driven image processing and analysis, eliminating the need for programming skills.
  • Users can leverage integrated or custom algorithms for comprehensive image biomarker assessment.
  • Facilitates the use of imaging biomarkers in single and multicenter clinical trials.

Conclusions:

  • The QIFP democratizes the use of quantitative image features for biomarker discovery and validation.
  • It addresses the technical barriers in developing and implementing imaging biomarkers in clinical research.
  • Empowers researchers to advance the field of precision oncology through accessible medical image analysis.