Technology ID

System for Automated Anatomical Structures Segmentation of Contrast-Enhanced Cardiac Computed Tomography Images

Lead Inventor
Bui, Vy
Hsu, Li-Yueh (NHLBI)
Chen, Marcus (NHLBI)
Benovoy, Mitchel (Circle Cardiovascular Imaging Inc)
Software / Apps
Therapeutic Areas
Development Stages
Pre-clinical (in vivo)
Research Products
Computational models/software
Lead IC

This technology includes a fully automatic 3D image processing system to segment the heart as well as other organs from contrast-enhanced cardiac computed tomography (CCT) images. Our method detects four cardiac chambers including left ventricle, right ventricle, left atrium, right atrium, as well as the ascending aorta and left ventricular myocardium. It also classifies noncardiac tissue structures in the CCT images such as lung, chest wall, spine, descending aorta, and liver. This automated system is based on computer vision algorithms to improve commonly used multi-atlas approach for automated segmentation of both cardiac and non-cardiac structures.

Commercial Applications
The methods can be incorporated into commercial medical imaging diagnostic workstations to assist the detection of structural anomalies or to evaluate disease progression and treatment effects.

Competitive Advantages
The proposed methods can be applied to standard contrast-enhanced CCT image studies to provide automated and complementary assessment of different cardiac chamber sizes, great vessel diameters, and hounsfield unit measurements in different organs, and can be extended to measure cardiac chamber size among different phases of dynamic CCT imaging to provide functional assessment.
Licensing Contact:
Shmilovich, Michael