CardIAc

CardIAc quantifies myocardial strain from left ventricular short-axis cardiac magnetic resonance (CMR) images for research applications.

Key Features:

• Motion tracking strategies: Implements multiple motion tracking strategies for myocardial motion estimation.
• Data and segmentation loading: Supports loading of image data and segmentations for analysis.
• 3D heart modeling: Constructs 3D heart models from short-axis CMR data for strain computation.
• Myocardial strain computation: Computes circumferential, radial, and longitudinal strain metrics.
• Visualization: Offers multiple visualization options for myocardial strain results.
• Validation datasets: Evaluated using the Cardiac Motion Analysis Challenge-STACOM 2011 public dataset and a synthetic dataset derived from that cohort.
• Quantitative performance: Reported a median motion estimation error of 3.66 mm on the real dataset and mean global errors on the synthetic dataset of 4.07% circumferential, 7.76% radial, and 8.18% longitudinal strain.

Scientific Applications:

• Myocardial strain quantification: Quantifying left ventricular myocardial strain in research studies using short-axis CMR.
• Motion tracking benchmarking: Comparing and benchmarking motion tracking strategies using the STACOM 2011 dataset and synthetic data.
• Strain metric validation: Validating circumferential, radial, and longitudinal strain measurements in healthy cohorts.
• Simulation-based evaluation: Assessing measurement errors and method performance using synthetic datasets derived from real CMR data.

Methodology:

Computational steps explicitly include data and segmentation loading, application of motion tracking strategies for myocardial motion estimation, 3D heart modeling, computation of circumferential/radial/longitudinal strain, visualization of strain, and validation on the Cardiac Motion Analysis Challenge-STACOM 2011 dataset and a synthetic dataset with reported error metrics.