Coronary calcium scoring assessment
Principal Investigator
Name
Hunter GAO
Degrees
M.D.
Institution
Philips
Position Title
Software Engineer
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-784
Initial CDAS Request Approval
Apr 21, 2021
Title
Coronary calcium scoring assessment
Summary
Quantification of Coronary Artery Calcium (CAC), i.e. Calcium Scoring, is typically performed in dedicated non-contrast-enhanced ECG-synchronized cardiac CT or chest CT scans. At present, in clinical application, calcium scoring is performed by experts who manually identify CAC in CT image slices. This is tedious and time-consuming work. In order to improve the efficiency of clinical work, we want to develop an automatic calcium scoring method with deep learning approaches.
Aims
The project aims at developing an automatic calcium scoring method with deep learning approaches, this can make quantification of non-contrast-enhanced cardiac CT or chest CT scans as quick as possible, and then assist doctors to assess the risk of cardiovascular disease to some extent.
Collaborators
None