Deep-Learning Image Reconstruction in CCTA

NACompletedINTERVENTIONAL
Enrollment

50

Participants

Timeline

Start Date

May 8, 2019

Primary Completion Date

June 20, 2019

Study Completion Date

June 20, 2019

Conditions
Coronary Artery Disease
Interventions
DEVICE

TrueFidelity

"TrueFidelity (Deep Learning Image Reconstruction, DLIR) software by GE Healthcare.~The medical device in question is a novel reconstruction algorithm for raw CT data which is based on artificial intelligence approaches, namely deep-learning iterative reconstruction (DLIR). This DLIR algorithm will be installed on the console of the CT Revolution scanning device, which is in routine clinical use for cardiac CT scans at the Department of Nuclear Medicine at the University Hospital Zurich. Purpose of this installation is the assessment of the performance of the DLIR algorithm during a limited time span of six weeks.~The algorithm will be CE-marked at the time of installation and use (statement by GE Healthcare provided separately). Its intended use is the reconstruction of CT datasets.~Of note, the novel DLIR algorithm will not substitute any clinical routine procedures currently in use. That is, diagnosis will still be made using the standard reconstruction algorithms."

Trial Locations (1)

8091

University Hospital, Zurich

All Listed Sponsors
lead

University of Zurich

OTHER

NCT03980470 - Deep-Learning Image Reconstruction in CCTA | Biotech Hunter | Biotech Hunter