Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries

TL;DR

This paper introduces a publicly available dataset of CTCA images with detailed annotations, including centrelines and segmentations, for both normal and diseased coronary arteries, facilitating research and development in cardiovascular imaging.

Contribution

The authors provide the first comprehensive public dataset of CTCA images with full coronary tree annotations, including centrelines, segmentations, and associated clinical data.

Findings

Dataset includes 40 cases with normal and diseased arteries.

Annotations were created through expert consensus, ensuring accuracy.

The dataset supports diverse applications like segmentation algorithm development and medical training.

Abstract

Computed Tomography Coronary Angiography (CTCA) is a non-invasive method to evaluate coronary artery anatomy and disease. CTCA is ideal for geometry reconstruction to create virtual models of coronary arteries. To our knowledge there is no public dataset that includes centrelines and segmentation of the full coronary tree. We provide anonymized CTCA images, voxel-wise annotations and associated data in the form of centrelines, calcification scores and meshes of the coronary lumen in 20 normal and 20 diseased cases. Images were obtained along with patient information with informed, written consent as part of Coronary Atlas (https://www.coronaryatlas.org/). Cases were classified as normal (zero calcium score with no signs of stenosis) or diseased (confirmed coronary artery disease). Manual voxel-wise segmentations by three experts were combined using majority voting to generate the final annotations. Provided data can be used for a variety of research purposes, such as 3D printing patient-specific models, development and validation of segmentation algorithms, education and training of medical personnel and in-silico analyses such as testing of medical devices.