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A Set of Methods to Calcualte Image Metrics that when they may be used to provide statistical quality control

MATLAB 30.06% Mathematica 0.98% HTML 12.08% Makefile 0.53% Java 14.70% M4 9.21% C 11.13% Python 6.10% C++ 14.04% C# 1.16% M 0.01%

dicometrics's Introduction

drawing

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

2019-01-09

@Author Yang Ding, the dude who is not sure what he is doing but trying to cobble together some of image metric methods gather for all over the Internet mostly compiled in Matlab.

The goal of this script compilation is to provide useful image quantitative measurements for people to be able to effectively train models to combine them so such that a statistical distribution of these variable based on image sets can be inferred and quality control can be established based on these parameters.

Sponsored by Dr. Gregory Lodygensky from St. Justine Hospital as a part of the Canadian Neonatal Brain Platform.

Open Source Work/Matlab Works Previous Research Incorporated:

  1. Said Pertuz's Image Focus Measutre Metric Toosl Publicly available here: https://www.mathworks.com/matlabcentral/fileexchange/27314-focus-measure

  2. SANTIAGO AJA-FERNANDEZ's noise estimator for MRI data. Publicly available here: https://www.mathworks.com/matlabcentral/fileexchange/36769-noise-estimators-for-mri-data-toolbox

  3. Matlab's implementation of grade level covariance matrix: https://www.mathworks.com/help/images/ref/graycoprops.html

  4. U of Texas LIVE lab: All sourced from http://live.ece.utexas.edu/research/quality/index.htm on 2017-03-13

A. Mittal's Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE) Chaofeng li's GRNN based No Reference image Quality Index (GRNN-NRQI) A. K. Moorthy's Blind Image Quality Index (BIQI). A. K. Moorthy's Distortion Identification-based Image Verity and INtegrity Evaluation (DIIVINE) Index*

  1. Avinash Uppuluri's FLCM texture features: https://www.mathworks.com/matlabcentral/fileexchange/22187-glcm-texture-features

The accompanying publication of the proof of concept is at https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.24449

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