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  • Advanced Tools for Quality and Dosimetry of Digital Imaging in Radiology

    Closed for Proposals

    Project Type

    Coordinated Research Project

    Project Code

    E24025

    CRP

    2202

    Approved Date

    24/02/2021

    Project Status

    Active - Ongoing

    Start Date

    28/07/2021

    Expected End Date

    30/09/2026

    Participating Countries

    Argentina, Brazil, France, Ghana, Greece, Hungary, Ireland, Mexico, Malaysia, Oman, Philippines, Qatar, Saudi Arabia, Sudan, Slovenia, Uruguay

    Description

    ?Guidance publications in the field of digital technologies for image quality assessment and dosimetry in diagnostic radiology.

    ?Software tools for quality assessment and dosimetry in diagnostic radiology available to all Member States.

    Objectives

    The overall objective of this project is to enhance quality control in radiography and mammography through the implementation of a remote and automated quality control programme

    Specific Objectives

    To apply the methodology in clinical practice for different imaging modalities (computed radiography, digital radiography, mammography, etc) in different types of facilities.

    To investigate the correlation of the image quality (IQ) metrics with equipment performance, including the establishment of typical reference values and acceptable ranges of variation.

    To create an international network of medical physicists that can interact and support each other in clinical practice through implementation of the remote automated QC program.

    To apply the methodology in clinical practice for different imaging modalities (computed radiography, digital radiography, mammography, etc) in different types of facilities.

    To investigate the correlation of the image quality (IQ) metrics with equipment performance, including the establishment of typical reference values and acceptable ranges of variation.

    To create an international network of medical physicists that can interact and support each other in clinical practice through implementation of the remote automated QC program.

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