Difference between revisions of "Digital Medical Ultrasound Imaging"

Revision as of 13:27, 13 June 2022

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Ultrasound Imaging System

Digital ultrasound probe

Ultra-low power Ultrasound

At IIS, we are exploring the next generation of medical ultrasound imaging systems:

• LightProbe: a programmable ultrasound transducer head, which incorporates the entire analog frontend and directly outputs the captured digital samples. This allows the LightProbe to be directly connected to any commodity hardware (phone, tablet, workstation) for post-processing over a standard digital link as simple as a standard peripheral, like a camera.
• LightABVS: a high-end ultrasound probe, evolution of LightProbe, which incorporates 192 channels and communicates with a host PC via two 100G Ethernet optical links
• TinyProbe: a reduced number of channels (32), compact, wireless probe for wearable applications
• ULP-probe: an ultra-low power (20mW) probe for long-term monitoring

Ultrasound systems have two main challenges: the high data-rates produced by the frontend (which need to be processed and transported off-head), and the power/thermal constraints of such devices.

This is an ongoing project at our lab and we are looking for motivated students to contribute on the following topics:

• Implementation of processing subunits: Hardware design FPGA/ASIC (VHDL/HLS)
• Programming of software functions: Microcontroller Programming / Processing system programming (C/C++/CUDA)
• System level design: Hardware software interactions, multi FPGA system, high bandwidth links (VIVADO/IP/HW-SW Codesign)
• Power/Thermal optimization: Modelling, Control, Task Scheduling (Matlab)
• Machine Learning (Python, FPGA)
• Ultrasond imaging algorithm development/improvements/tailoring for implementation (Matlab)
• PCB Design

If you are interested in any of the above topics, contact us.

Highlights of Past Projects

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  Ultra-low power Ultrasound dot, sub-20mW PCB - Semester Thesis Sebastian Frey

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  LightProbe+, Highspeed (12.5GHz) PCB - Master Thesis Raphael Strebel

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  Pennation angle tracking of human muscles - Semester Thesis Soley Hafthorsdottir

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  Wireless Ultrasound Imaging - Master Thesis Matthias Brägger

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  High-speed (200fps) bubble tracking - Semester Thesis Pascal Jud

Open Projects

This is a fast-evolving project area. If you are interested in the topic and want to do something in the areas mentioned above, come to see us to discuss up-to-date project opportunities! Showing up with your own project ideas is also very appreciated.

• Skin Coupling Media Characterization For Fitness Tracker Applications (1 B/S)
• Integrating Ultrasound Technology into a Fitness Tracking Device (1M, 2 B/S)
• Adaptively Controlled Polarization And Hysteresis Curve Tracing For Polymer Piezoelectrics (1 S/B)
• Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)
• Ultrasound image data recycler
• Design of combined Ultrasound and PPG systems
• Improving datarate and efficiency of ultra low power wearable ultrasound
• Battery indifferent wearable Ultrasound
• Wearable Ultrasound for Artery monitoring
• Ultrasound Doppler system development
• Machine Learning for extracting Muscle features from Ultrasound raw data
• Automatic unplugging detection for Ultrasound probes
• Machine Learning on Ultrasound Images
• Visualizing Functional Microbubbles using Ultrasound Imaging

Projects in Progress

No pages meet these criteria.

Completed Projects

• Ultrasound based hand gesture recognition
• Design of combined Ultrasound and Electromyography systems
• Ultra low power wearable ultrasound probe
• Machine Learning for extracting Muscle features using Ultrasound 2
• Ultrasound Low power WiFi with IMX7
• Ultrasound signal processing acceleration with CUDA
• Minimum Variance Beamforming for Wearable Ultrasound Probes
• Machine Learning for extracting Muscle features using Ultrasound
• Compression of Ultrasound data on FPGA
• LightProbe - 200G Remote DMA for GPU FPGA Data Transfers
• Time Gain Compensation for Ultrasound Imaging
• LightProbe - WIFI extension (PCB)
• LightProbe - Implementation of compressed-sensing algorithms

Contacts

If you are interested in the topic, please contact us: Sergei Vostrikov, Andrea Cossettini