Multimodal imaging for ischemia detection


This area of research tackles image acquisition, processing, fusion and presentation as a horizontal activity in the CCI. There is an increasing need for combining multiple information modalities and visualize these in an intuitive manner for both diagnostic use and for intra procedural guidance. Today’s interventional procedures are heavily relying on imaging, acquired both before and during the procedure. Images are important for planning, monitoring, guidance, navigation and evaluation.


Ultra-fast ultrasound imaging

Ultra-fast ultrasound imaging can be performed by transmitting a wide (un-focused) ultrasound beam into tissue instead of many narrow beams. One type of wide beam is a diverging wave. The implementation of this method may be limited by the configuration of clinical 3D ultrasound probes. We tested diverging wave imaging in a commercial ultrasound system and tried to estimate velocities after off-line beam forming of the received signals. We were able to estimate tissue velocities with acceptable accuracy by optimizing the trade-off between image quality and frame rate.

Automatic image interpretation of the left atrium

For diagnosis, treatment planning and intra-operative guidance, it is important to have tools that can automatically interpret image features such as boundaries between blood and tissue. Such features can be used to extract morphological and functional information such as volumes and volume changes over the cardiac cycle.

We have developed image segmentation tools for the left atrium (LA), that can be applied to 3D ultrasound images of the LA acquired throughout the cardiac cycle. Our method is able to reliably detect and track the boundaries of the atrium, allowing not only its easy visualization in 3D, but also to derive relevant LA functional indices. The method is also capable of quantifying the coupling between the left atrium and the left ventricle.

Heart SFI