Software architecture and manual for novel versatile CT image analysis toolbox -- AnatomyArchive

• URL: http://arxiv.org/abs/2507.13901v1
• Date: Fri, 18 Jul 2025 13:28:32 GMT
• Title: Software architecture and manual for novel versatile CT image analysis toolbox -- AnatomyArchive
• Authors: Lei Xu, Torkel B Brismar,
• Abstract summary: We have developed a novel CT image analysis package named AnatomyArchive, built on top of the recent full body segmentation model TotalSegmentator.<n>It provides automatic target volume selection and deselection capabilities according to user-configured anatomies.<n>It has a knowledge graph-based and time efficient tool for anatomy segmentation mask management and medical image database maintenance.
• Score: 2.4313767693803623
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: We have developed a novel CT image analysis package named AnatomyArchive, built on top of the recent full body segmentation model TotalSegmentator. It provides automatic target volume selection and deselection capabilities according to user-configured anatomies for volumetric upper- and lower-bounds. It has a knowledge graph-based and time efficient tool for anatomy segmentation mask management and medical image database maintenance. AnatomyArchive enables automatic body volume cropping, as well as automatic arm-detection and exclusion, for more precise body composition analysis in both 2D and 3D formats. It provides robust voxel-based radiomic feature extraction, feature visualization, and an integrated toolchain for statistical tests and analysis. A python-based GPU-accelerated nearly photo-realistic segmentation-integrated composite cinematic rendering is also included. We present here its software architecture design, illustrate its workflow and working principle of algorithms as well provide a few examples on how the software can be used to assist development of modern machine learning models. Open-source codes will be released at https://github.com/lxu-medai/AnatomyArchive for only research and educational purposes.

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