SIGNAL AND IMAGE PROCESSING

Our research activities in the medical imaging field are mainly focused on ultrasound diagnostic imaging. We work on signal processing and imaging methods for ultrasound B-mode image reconstruction, such as non-linear, coherence-based beamforming algorithms, high-frame rate imaging techniques, micro-beamforming strategies for 4D  imaging. The objective is to study and develop novel advanced beamforming methods able to generate ultrasound images with a higher quality for an enhanced diagnosis, also improving the frame rate at the same time e.g. for cardiac applications.

In the framework of the European project DeNeCoR, we are involved in the design of novel advanced probes for 3D ultrasound imaging of the brain, with transducers based on the emerging CMUT (Capacitive Micromachined Ultrasonic Transducers) technology. We are also working on the desing of experimental protocols for the testing of such probes, including the development of procedures for US brain images acquisition with motion tracking systems, and fusion with MR images (in cooperation with the Computer Vision and Multimedia Lab-University of Pavia, University of Florence, University Roma Tre and STM).

These research activities aim at developing software tools to support the design of the front-end electronics  integrated in new probes for 3D/4D ultrasound imaging, based on 2D arrays of transducers. Such tools allow the designers to further analyze how design parameters influence the generated ultrasound-beam shape and image quality, providing a precious system-level feedback through simulations.

Tho main objective of activity is to develop a novel imaging system based on the use of micro/millimeter-waves for the detection of breast cancer. This research is carried out in cooperation with the European Institue of Oncology and Microwae Lab. – University of Pavia. Our focus is maily on sytem-level simulation analyses, development and testing of image reconstruction algorithms.