Cardiac Shape Analysis Use Case


As a cardiac imaging researcher, I want to:

  • To learn normal myocardial shape at different age ranges
  • To determine shape features that may identify patients at risk for developing sudden cardiac death
  • To differentiate between cardiac disease states with overlapping phenotype (hypertensive heart disease vs. hypertrophic cardiomyopathy)
  • To quantify response to treatment by measuring shape alterations after treatment intervention


These needs/desires serve as the basis for the design of the CAWorks tool and its underlying infrastructure.  Within CAWorks, users can:

  • Download a fully-functional image analysis tool
  • Analyze mask images of left-ventricular myocardium from computed tomography (high-resolution image volumes) and/or cardiac MRI cross-sections
  • Access large diffeomorphic metric mapping (LDDMM)-based cardiac shape analysis within the tool

CAWorks Benefits:

  • Provide a research environment without costs associated with building and maintaining the infrastructure
  • Provide quantitative metrics at high spatial resolution independent of imaging plane of acquisition
  • Export results to any labeling convention including, but not limited to, AHA 17-segments

Pipeline for shape analysis of high-resolution CT images

Pipeline for shape analysis of MRI cross-sections

Learn More

Additional information on CAWorks can be found in the tools section here.