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High Resolution Image Reconstruction from Full-Matrix Capture Data Using Minimum Mean Square Error Deconvolution of the Spatio-Temporal System Transfer Function
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2020 (English)In: 2020 IEEE International Ultrasonics Symposium (IUS), IEEE, 2020, article id 1179Conference paper, Published paper (Refereed)
Abstract [en]

The resolution of ultrasound images generated withconventional delay-and-sum beamformers, such as for examplethe Total Focusing Method (TFM), is limited by the overall systemtransfer function (point-spread function). This limits, for examplethe minimum distance between defects that can be detectedwithout the defects showing up as one larger peak in the image.In this paper, we propose a technique based on modeling ofthe complete spatio-temporal transfer function of the imagingsystem, that efficiently suppresses this and thus increases theimage resolution substantially. The method is demonstrated withsimulations and compared with the TFM.

Place, publisher, year, edition, pages
IEEE, 2020. article id 1179
Series
IEEE Symposium (IUS) Ultrasonics, ISSN 1948-5719, E-ISSN 1948-5727
Keywords [en]
Ultrasound imaging, Full-Matrix Capture, Total Focusing Method, Optimal Beamforming, Deconvolution
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-80677DOI: 10.1109/IUS46767.2020.9251432ISI: 000635688900129Scopus ID: 2-s2.0-85097876963OAI: oai:DiVA.org:ltu-80677DiVA, id: diva2:1464041
Conference
IEEE International Ultrasonics Symposium (IUS 2020), Las Vegas, USA, September 7-11, 2020, Virtual
Note

ISBN för värdpublikation: 978-1-7281-5448-0 

Available from: 2020-09-03 Created: 2020-09-03 Last updated: 2021-05-10Bibliographically approved

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Carlson, Johan E.

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