The processing and analysis of computed tomography (CT) imaging is important
for both basic scientific development and clinical applications. In AutoCT, we
provide a comprehensive pipeline that integrates an end-to-end automatic
preprocessing, registration, segmentation, and quantitative analysis of 3D CT
scans. The engineered pipeline enables atlas-based CT segmentation and
quantification leveraging diffeomorphic transformations through efficient
forward and inverse mappings. The extracted localized features from the
deformation field allow for downstream statistical learning that may facilitate
medical diagnostics. On a lightweight and portable software platform, AutoCT
provides a new toolkit for the CT imaging community to underpin the deployment
of artificial intelligence-driven applications.

AutoCT 是一个综合的流水线系统，用于自动预处理、配准、分割和量化分析三维 CT 扫描图像，并通过有效的正向和逆向映射利用差异变形转化实现基于图谱的 CT 分割和量化，从变形场中提取定位特征，从而实施下游的统计学习以促进医疗诊断。AutoCT 是一个轻巧便携的软件平台，为 CT 成像领域提供了一个新的工具集，支持人工智能驱动应用的部署。