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Atlas-Based Ventricular Shape Analysis for Understanding Congenital Heart Disease
Genevieve Farrar1, Avan Suinesiaputra2, Kathleen Gilbert2
1Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Progress in Pediatric Cardiology
|January 14, 2017
Summary
Atlas-based shape analysis reveals specific ventricular abnormalities in congenital heart disease (CHD) patients. This method links abnormal ventricular shape, like increased sphericity, to impaired heart wall motion, aiding CHD management.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Congenital heart disease (CHD) is linked to abnormal ventricular shape, impacting cardiac function and long-term outcomes.
- Understanding ventricular geometry and mechanics is crucial for managing single-ventricle physiology, such as in tricuspid atresia and Fontan procedures.
Purpose of the Study:
- To quantify ventricular geometry and wall motion abnormalities in CHD patients using atlas-based shape analysis.
- To explore relationships between altered ventricular shape and myocardial wall motion in CHD.
- To assess the potential of shape analysis as a tool for CHD patient management.
Main Methods:
- Parametric shape analysis of ventricular geometries from eight adolescent/adult single-ventricle CHD patients.
- Comparison of patient geometries against an atlas of asymptomatic volunteers to derive z-scores quantifying deviations.
- Correlation of shape analysis scores with clinical functional parameters and physician observations.
Main Results:
- Atlas-based shape analysis identified specific, quantifiable abnormalities in ventricular geometry and wall motion in all CHD subjects.
- Significant relationships were found between increased ventricular sphericity and decreased long-axis wall motion.
- The study demonstrated the potential to link specific shape alterations to functional deficits.
Conclusions:
- Atlas-based ventricular shape analysis is a promising tool for characterizing geometric and functional abnormalities in CHD.
- This technique can identify relationships between shape and wall motion, reflecting underlying pathophysiology and remodeling.
- Shape analysis may aid in the clinical management of CHD patients at risk for impaired ventricular mechanics.

