Difference between revisions of "Digital Medical Ultrasound Imaging"
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==Our Activities== | ==Our Activities== | ||
− | + | At IIS, we are exploring the next generation of medical ultrasound system. Our Flagship projects are: | |
− | |||
− | At IIS, we are exploring the next generation of medical ultrasound | ||
− | |||
* 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 | * 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 | * TinyProbe: a reduced number of channels (32), compact, wireless probe for wearable applications | ||
− | * | + | * WULPUS: an ultra-low power (20mW) probe for long-term monitoring |
− | + | Main challenges in ultrasound systems designs are: | |
+ | ** high data-rates produced by the frontend (which need to be processed and transported off-head), | ||
+ | ** power and thermal constraints of such devices | ||
+ | ** ridgid and large form-factors and their applicability on human anatomy. | ||
[[File:USdevelopment_addressing_constraints.png|800px]] | [[File:USdevelopment_addressing_constraints.png|800px]] |
Revision as of 22:51, 21 July 2023
(scroll down for open projects)
Our Activities
At IIS, we are exploring the next generation of medical ultrasound system. Our Flagship projects are:
- 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
- WULPUS: an ultra-low power (20mW) probe for long-term monitoring
Main challenges in ultrasound systems designs are:
- high data-rates produced by the frontend (which need to be processed and transported off-head),
- power and thermal constraints of such devices
- ridgid and large form-factors and their applicability on human anatomy.
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 for hardware-software interactions, multi FPGA system, high bandwidth links (VIVADO/IP/HW-SW Codesign)
- Power/Thermal optimization: Modelling, Control, Task Scheduling (Matlab)
- Design of physiological experiments and data analyses (Python)
- Machine Learning (Python, MCU, FPGA)
- Ultrasond imaging algorithm development/improvements/tailoring for implementation (Matlab)
- Fusion of ultrasound with other biosignals: system, circuit, and algorithm design (Spice, Altium, Python)
- PCB Design (Altium, Ansys SIwave)
If you are interested in any of the above topics, contact us.
Who are we
Dr. Andrea Cossettini
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Dr. Christoph Leitner
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Sergei Vostrikov
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Federico Villani
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Sebastian Frey
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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.
Firmware Development (FPGA, MCU)
- Development Of An FPGA-Based Optoacoustic Image Reconstruction Platform for Clinical Applications
- 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
- Automatic unplugging detection for Ultrasound probes
Hardware Development (PCB Design)
- Ultrasound measurement of microbubble stiffness for in situ detection of protease activity in clinical settings
- Integrating Ultrasound Technology into a Fitness Tracking Device (1M, 2 B/S)
- Design of combined Ultrasound and PPG systems
- Battery indifferent wearable Ultrasound
Mixed Signals, Electro-Mechanical Testbeds, Characterization
- Skin Coupling Media Characterization For Fitness Tracker Applications (1 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)
- Design of combined Ultrasound and PPG systems
- Wearable Ultrasound for Artery monitoring
Ultrasound Signal Processing and ML
- Development Of An FPGA-Based Optoacoustic Image Reconstruction Platform for Clinical Applications
- Ultrasound measurement of microbubble stiffness for in situ detection of protease activity in clinical settings
- Ultrasound image data recycler
- Wearable Ultrasound for Artery monitoring
- Machine Learning for extracting Muscle features from Ultrasound raw data
- Machine Learning on Ultrasound Images
- Visualizing Functional Microbubbles using Ultrasound Imaging
All projects are annotated with one or more possible project types (M/S/B/G) and a number of students (1 to 3).
- M: Master's thesis: 26 weeks full-time (6 months) for one student only
- S: Semester project: 14 weeks half-time (1 semester lecture period) or 7 weeks full-time for 1-3 students
- B: Bachelor's thesis: 14 weeks half-time (1 semester lecture period) for one student only
- G: Group project: 14 weeks part-time (1 semester lecture period) for 2-3 students
Usually, these are merely suggestions from our side; proposals can often be reformulated to fit students' needs.
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