Compressive Deconvolution in Medical Ultrasound Imaging
Event details
| Date | 26.01.2017 |
| Hour | 11:00 |
| Speaker | Dr. Zhouye Chen, Heriot Watt University, Edinburgh |
| Location | |
| Category | Conferences - Seminars |
In this talk, I will present my thesis work in the area of Ultrasound imaging. To begin with, the ultrasound imaging will be simply introduced. Once the explanation to compressive sampling and deconvolution, including their direct model, theory and application to Ultrasound imaging, are done, the proposed framework of Compressive Deconvolution adjusted to Ultrasound imaging will then be described as a second stage. Afterward, two novel algorithms to reconstruct the target image in this framework will be detailed. One of them is based on Alternative Direction Method of Multipliers (ADMM) and the other is based on Simultaneous Direction Method of Multipliers (SDMM). Finally, I will show the results on both simulated Ultrasound images and in vivo data.
Bio: Zhouye Chen is a Research Associate in the Biomedical and Astronomical Signal Processing (BASP) group at Heriot Watt University, Edinburgh, UK. She received her Ph.D. degree in Signal, Image and Acoustics Processing from University Paul Sabatier Toulouse 3 in October 2016, M.Sc degree from the University of Chinese Academy of Sciences, China in June 2013 and B.Sc degree in Electrical Engineering from Dalian University of Technology, China in June 2010. Her thesis has been focused on the inverse problems of ultrasound image processing, particularly deconvolution and compressive sampling. Her paper "Joint Compressive Sampling and Deconvolution in Ultrasound Medical Imaging" was selected as one of the best student paper finalists in IEEE International Ultrasonics Symposium 2015. She is currently working on projects “compressive quantitative MR imaging” with Prof. Yves Wiaux.
Bio: Zhouye Chen is a Research Associate in the Biomedical and Astronomical Signal Processing (BASP) group at Heriot Watt University, Edinburgh, UK. She received her Ph.D. degree in Signal, Image and Acoustics Processing from University Paul Sabatier Toulouse 3 in October 2016, M.Sc degree from the University of Chinese Academy of Sciences, China in June 2013 and B.Sc degree in Electrical Engineering from Dalian University of Technology, China in June 2010. Her thesis has been focused on the inverse problems of ultrasound image processing, particularly deconvolution and compressive sampling. Her paper "Joint Compressive Sampling and Deconvolution in Ultrasound Medical Imaging" was selected as one of the best student paper finalists in IEEE International Ultrasonics Symposium 2015. She is currently working on projects “compressive quantitative MR imaging” with Prof. Yves Wiaux.
Practical information
- General public
- Free
Organizer
- LTS5
Contact
- Prof. Jean-Philippe Thiran