On convolution model for ultrasound echo signal processing

Search Swinburne Research Bank

Home

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/230484

Title: On convolution model for ultrasound echo signal processing
Author(s): Chen, Ming; Zhang, Cishen
Abstract: Systematic ultrasound signal processing and imaging require a model for the ultrasound echo signal so to extract the tissue information for image construction. Based on careful studies of the classical ultrasound acoustics and traditional convolution model and taking into account the echo effects arising from anatomical tissue properties, this paper proposes a new convolution model for the ultrasound pulse-echo process, which presents dominant terms under common practically feasible conditions of medical ultrasound. The proposed convolution model can provide an effective means for processing ultrasound echo signals and constructing images.
Publication type: Conference paper
Research centre: Swinburne University of Technology. Faculty of Engineering and Industrial Sciences
Source: Proceedings of 'Global Grand Challenge of Health Informatics', the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong and Shenzhen, China, 02-07 January 2012, pp. 357-360
Publication year: 2012
Keyword(s): Convolution; Modeling; Signal processing; Ultrasound imaging
Publisher: IEEE
ISBN: 9781457721779, 1457721775
Publisher URL: http://dx.doi.org/10.1109/BHI.2012.6211587
Peer reviewed