CardIQ Suite

An integrated suite of CT Cardiac post-processing tools

An integrated suite of CT Cardiac post-processing tools.

Built for automation and workflow efficiency

CardIQ Suite provides an integrated workflow to seamlessly review calcium scoring and CCTA data. The fully automated calcium scoring algorithm identifies coronary calcium burden and location providing a total and per territory score within seconds of loading. Users can immediately move into the CCTA review, using cine capability for motion studies and double oblique tools for viewing the vasculature for a full review of coronary arteries and chambers.

CardIQ Suite*

Deep Learning based automated Calcium Score

The fully automated calcium scoring algorithm is designed to identify the presence and location of coronary artery calcifications providing a total and per territory score within seconds of loading.

CardIQ Suite

An integrated workflow to seamlessly review calcium scoring and CCTA data

dfb

Deep Learning based automated Calcium Score

Deep Learning model automatically labels coronary artery territories.
Deep learning model automatically segments calcifications within the coronary artery territories and provides total and per territory scores.
Deep learning models were developed and trained based on a variety of clinical datasets from a global population, spanning multiple scanners types and vendors.
Ability to assign calcifications to individual coronary artery branches.
Ability to score and label calcifications found in the aorta and cardiac valves.

s-curve-cardiq-deep-learning-calcium-score

CCTA 2D Review

Easily transition from Calcium Scoring to CCTA review through the integrated workflow.
Load multi-phase data for motion analysis of chamber mobility or identification of target phase for coronary review.
Help evaluate coronary artery disease using oblique reference lines to generate views through the arteries.
Easy access to additional rendering modes (MIP, MinIP and Average) for enhanced visualization.
Measurement tools for distance and ROI generation.

Watch Video

Footnotes

*Not available for sale in all regions.
CardIQ Suite runs only on AWS with Enterprise Cockpit (EC) environment installed.

Coronary Calcium Score and Cardiovascular Risk. J Am Coll Cardiol 2018; 72:434–447.
Clinical indications for coronary artery calcium scoring in asymptomatic patients: Expert consensus statement from the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2017 Mar-Apr.
2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2019.
2019 ESC/EAS guidelines for the management of dyslipidaemias: Lipid modification to reduce cardiovascular risk. Atherosclerosis. 2019 Nov.
CAC-DRS: Coronary Artery Calcium Data and Reporting System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), Journal of Cardiovascular Computed Tomography, Volume 2, Issue 3, 2018.

JB19822XX

Thank you!

We received your request for assistance.

A GE Healthcare specialist will be reaching out shortly.

Something went wrong

We will check and get back.

Try Again

JB01119AU

CardIQ Suite

Coronary Artery Calcium Scoring

Role of CACS

Guidelines

CAC-DRS scoring

Deep Learning based automated Calcium Score

>90% Concordance with CACS‑DRS classification grouping. Consistency

>95% Correct identification of the presence of coronary artery calcifications. Identification

>90% Accurately labeled coronary artery territories. Labeling

An integrated workflow to seamlessly review calcium scoring and CCTA data

Deep Learning based automated Calcium Score

CCTA 2D Review

Footnotes

>90% Concordance with CACS‑DRS classification grouping.

Consistency

>95% Correct identification of the presence of coronary artery calcifications.

Identification

>90% Accurately labeled coronary artery territories.

Labeling