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Three-dimensional simulation of medical ultrasound
Finite-difference time-domain, high-performance clusters. We have developed and patented a hand-held ultrasound technology, which is able to reconstruct speed of sound and acoustic attenuation, both of which are highly sensitive to cancer.
Winning project Spark Award 2016 as the most promising ETH invention.
Breast cancer comprises 22.9% of all cancers in women. Survival rates can be greatly improved with early detection of a growing tumor, which can be screened routinely and hazard-free with medical ultrasound (US). However, detection with conventional B-mode imaging is challenging. We have developed and patented a hand-held ultrasound technology, which is able to reconstruct speed of sound and acoustic attenuation, both of which are highly sensitive to cancer.
More information:
https://youtu.be/_cfzUU1oayQ
This technology is now to be evaluated for the first time in clinical trials at University Hospital Zurich.
For this opportunity we are looking for student working on GUI development QT/C++, embedded sensor systems.
Winning project Spark Award 2016 as the most promising ETH invention.
Breast cancer comprises 22.9% of all cancers in women. Survival rates can be greatly improved with early detection of a growing tumor, which can be screened routinely and hazard-free with medical ultrasound (US). However, detection with conventional B-mode imaging is challenging. We have developed and patented a hand-held ultrasound technology, which is able to reconstruct speed of sound and acoustic attenuation, both of which are highly sensitive to cancer.
More information: https://youtu.be/_cfzUU1oayQ
This technology is now to be evaluated for the first time in clinical trials at University Hospital Zurich.
For this opportunity we are looking for student working on GUI development QT/C++, embedded sensor systems.
Extension of available finite-difference time-domain software in Matlab® to High-Performance Computing Clusters (HPC) available in our lab, and to ETH central cluster resources (Brutus/Euler). Simulation of real ultrasound arrays and validation with experimental data.
Extension of available finite-difference time-domain software in Matlab® to High-Performance Computing Clusters (HPC) available in our lab, and to ETH central cluster resources (Brutus/Euler). Simulation of real ultrasound arrays and validation with experimental data.
Dr. Sergio Sanabria, Prof. Dr. Orcun Goksel
ssanabria@ethz.ch
Student project offer_160901.pdf
