Medical module for Hyper-Fractal Analysis

Abstract

In Grossu (2022) [1] it was discussed the migration of Hyper-Fractal Analysis from Visual Basic 6 to C# .Net. The main goal of current work was developing a medical module for fractal analysis of computed tomography multi-channel images. A new tool for comparing images by RGB channels superposition was also considered. This could be of particular interest in medical image analysis (e.g. compare native with contrast CT slices). New version program summaryProgram Title: Hyper-Fractal Analysis v06CPC Library link to program files:https://doi.org/10.17632/z9knmny56p.2Licensing provisions: GPLv2Programming language: C# 7.3 /.Net Framework 4.7.1Journal reference of previous version: Computer Physics Communications 271, (2022) 108189Does the new version supersede the previous version?: YesNature of problem: Estimating the fractal dimension of images, multi-dimensional objects, and medical computed tomography images.Solution method: Optimized version of the fuzzy box-counting algorithm.Reasons for the new version: Develop a medical module for fractal analysis of computed tomography multi-channel images.Summary of revisions:•The migration of Hyper-Fractal Analysis from Visual Basic 6 to C# .Net was discussed in [1]. The new SOLID [2] application design is facilitating the development process. Thus, the main goal of current version was adding a medical module for fractal analysis [3-5] of computed tomography (CT) images [6,7].•Hyper-Fractal Analysis v06 allows opening specific csv files (.ct.csv) containing up to three Hounsfield units matrices (CT slices) separated by empty lines. Most commonly, those three “channels” were used for storing the corresponding slices from native, arterial contrast, and venous contrast series.•Each of the previously described CT slices is represented on a different RGB channel [8], which results in highlighting the images differences (Fig. 1).•A new tab (CT Band-Pass) was added to allow specifying the Hounsfield units input parameters for the CT multi-channel fuzzy band-pass filter.