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Automatic Coronary CT Angiography Analysis System Detects Abnormalities Immediately

By MedImaging International staff writers
Posted on 21 Jan 2009
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A new coronary computed tomography (CT) angiography analysis system performs a fully automatic analysis of coronary CT angiography (CCTA) studies. It segments the coronary artery tree, labels major arteries, and detects significant lesions--all without human interaction.

Rcadia Medical Imaging Ltd.'s (Haifa, Israel) COR Analyzer's newest version automatically generates curved multiplanar reformated (MPR) images of analyzed vessels with marked pathologies. The MPR images can be automatically exported to any picture archiving and communication systems (PACS) or workstation and used as part of the physician's typical workflow. The analyzer has received U.S. Food and Drug Administration (FDA) clearance.

Another new feature is an automatic report that includes patient data, a summary of findings and snapshots of the curved MPR images with marked pathologies. Physicians can easily edit this information to produce the final clinical report. "Rcadia's COR Analyzer significantly improves the overall workflow in our practice by automatically triaging and diagnosing coronary CTA cases immediately following scanning with a high degree of accuracy. It eliminates the need for routine multi-phase reconstruction of coronary CTA studies. The new version of COR Analyzer with its automatic report generation template will further enhance the efficiency of the reporting physician,” commented Dr. Michael Poon, professor of radiology at Stony Brook School of Medicine (Stony Brook, NY, USA).

The new version of COR Analyzer is being tested in a number of sites throughout the United States and Israel.

Rcadia Medical Imaging is the principal developer of automatic image processing software for blood vessel analysis. The COR Analyzer is aimed at triaging patients in the emergency department (ED), improving workflow in radiology and cardiology departments, and serves as ‘second eye reader' to prevent miss reading of severe lesions in CCTA studies.

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