Publication: Zeng, A., Mi, C., Pan, D., Lu, Q., & Xu, X. (2022, December). Imagealcapa: A 3d computed tomography image dataset for automatic segmentation of anomalous left coronary artery from pulmonary artery. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1800-1803). IEEE.
 
Scanner: SOMATOM Definition Flash CT
 
Number of Patients: N=30
 
Hospital: Guangdong Provincial Peoples’ Hospital
 
Timeline: June 17, 2016, to August 8, 2021
 
Description: All the images are pre-operative Anamalous Left Coronary Artery from Pulmonary Artery (ALCAPA) CTA images whose top and bottom are around the neck and the brachiocephalic vessels, respectively, in the axial view. The segmentation labeling is performed by a team of two cardiovascular radiologists who have extensive experience in ALCAPA. For each image, one radiologist fulfills the labelling while the other verifies it afterwards. The segmentation includes seven substructures: Myo, LV, RV, PA, Ao, LCA, and RCA, and the labelling of each image goes by 1-1.5 hours.