Automatic Segmentation of the Left and Right Ventricles of a 4D Cardiac MRI

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Cardiovascular disease (CVD) is the leading cause of death in the USA, and an estimated 17.3 million people die from CVD each year according to the WHO (World Health Organization). Proper inspections of heart conditions and thorough evaluations of ventricular structures and functions are important for the management of most cardiac disorders, such as pulmonary hypertension, coronary heart disease, dysplasia and cardiomyopathies.The cardiac contractile function can be quantified through ventricle volumes, masses and ejection fraction by segmenting the left (LV) and right (RV) ventricles from MR images. However, manual segmentation is a time-consuming and tedious process, requiring around 20 minutes per ventricle by a clinician. Although some commercial software packages such as QMASS MR (Medis, Leiden, the Netherlands), syngo Argus 4D VF (Siemens Medical Systems, Germany) and CMR42 (Circle CVI, Canada) have been made available for LV segmentation, these mostly fail on RV mainly because of the complex motion and anatomy of RV, which can be highly variable, crescent shapes, thin, and with an ill-defined border.This innovative system offers a solution for the automatic segmentation of RV and LV from 4D cardiac MRI data that not only increases the efficiency of this highly complex process but also reduces the time, manpower and required.

Key Benefits

Automatic Segmentation of Left Ventricle (LV) of 4D Cardiac MRI
      • Fast & Batch Processing
Automatic Segmentation of Right Ventricle (RV) of 4D Cardiac MRI
            • Fast & Batch Processing

Target Applications

This innovative solution is targeted at hospitals, medical centers, and other facilities carrying out cardiovascular disease related activities


Title: Image Segmentation System and Operating Method Thereof
EconomyPatent NumberStatus

Target Cooperation Model

        • Nonexclusive Licensing
        • Exclusive Licensing
        • Patent Transaction
        • Turnkey Solution


Professor Ching-Wei Wang National Taiwan University of Science & Technology Graduate Institute of Biomedical Engineering 43 Keelung Road, Section 4, Taipei 10607 Email: