ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
ITEA 4 page header azure circular

Visual Scoring Tool

Project
16016 STARLIT
Type
New standard
Description
  • Flexible creation of visual scoring experiments between various types of medical images, including CT scans, MRI scans, perfusion images, and 4D MRI scans
  • Arbitrary experiment creation including custom experiment parameters, and the option to select single image assessment, and absolute and relative scoring between two images
  • The resulting experiment .csv file includes a large variety of metrics including the image scores, required time to perform the scoring for each image, and the image slice and/or timepoint that was shown when the rating was performed
  • By performing image quality assessments using the Visual Scoring Tool, image tuning parameters can be optimized, including image acquisition parameters between different imaging techniques
Contact
Jorrit Glastra
Email
j.glastra@quantib.com
Technical features

Input(s):

  • Medical Images
  • Experiment rating parameters

Main feature(s):

  • Create a visual scoring experiment using user-defined parameters to assess and compare medical image quality
  • Perform the visual scoring experiment

Output(s):

  • A .csv file containing a comprehensive set of experiment results
Integration constraints
  • No other libraries needed for use
  • Installation is performed using a provided executable
  • License necessary for use
Targeted customer(s)

Users of medical images, including radiologists, radiation oncologists, medical physicists and researchers, looking to perform objective comparisons of medical image quality. These comparisons can be used to further tune and optimize the image acquisition parameters.

Conditions for reuse

Licensing

Confidentiality
Public
Publication date
04-09-2020
Involved partners
Quantib BV (NLD)