Co-PIs:

  • Ender Konukogklu (ETH Zürich)
  • Anne Bonnin (PSI)

Problem:

Improving state-of-the-art in micro-CT image analysis for studying tissue microstructure and disease related alterations in the heart

Improve segmentation and quantification models

User interaction in CNN based approaches

Improve robustness to artifacts

Solution:

Data curation

Development and benchmarking of advanced segmentation approaches

Developing interaction methods in CNN-based segmentation

Quantification of tissue composition in the heart

Scientific publications and tools dissemination

Impact:

Micron-scale CT images are essential in studying tissue microstructure and alterations. Image analysis plays an important role for quantitative analysis. Better automatic / semi-automatic tools would allow high throughput and more accurate analysis.

 

 

C17-04