Compressive Deconvolution in Medical Ultrasound Imaging
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Compressive Deconvolution in Medical Ultrasound Imaging
Fri, 24/06/2016 - 16:00 to 17:00
Location:
Speaker:
Ms Zhouye Chen
Affiliation:
University Paul Sabatier Toulouse 3
Synopsis:
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.
Biography:
Zhouye Chen received her 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. Since October 2013, she has been a Ph.D. student with University Paul Sabatier Toulouse 3 and the IRIT laboratory (UMR CNRS 5505). 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. Her research has been focused on inverse problems of image processing, particularly deconvolution and compressive sampling.