Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization

Amirhossein Khalilian-Gourtani, Yao Wang, Jonathan Mamou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scanning acoustic microscopy (SAM) is an imaging modality used to obtain 2D maps of acoustical and mechanical properties of soft tissues and uses ultrasound transducers operating at very high-frequencies. Such transducers are challenging and costly to manufacture, and SAM systems at higher frequencies become more sensitive to experimental issues. Nevertheless, biomedical applications of SAM often require spatial resolutions nearly as good as light microscopy. In addition, stained histology photomicrographs of thin sections of tissues are easily obtained with the necessary resolution and accuracy. Consequently, the aim of this study is to introduce a bilateral approach that enhances the resolution of SAM images by leveraging the co-registered high-resolution histology image. We propose to use bilateral weighted total variation regularization to solve the super-resolution problem. A fast matrix-less solver is developed by utilizing the Alternating Direction Method of Multipliers (ADMM) and solving the least squares problem in one ADMM step in the Fourier domain. Reconstruction results on experimentally recorded SAM and histology data show promising improvement over the classical techniques.

Original languageEnglish (US)
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5113-5116
Number of pages4
Volume2018-July
ISBN (Electronic)9781538636466
DOIs
StatePublished - Oct 26 2018
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: Jul 18 2018Jul 21 2018

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
CountryUnited States
CityHonolulu
Period7/18/187/21/18

Fingerprint

Acoustic Microscopy
Histology
Transducers
Tissue
Least-Squares Analysis
Optical microscopy
Microscopy
Ultrasonics
Imaging techniques
Light
Mechanical properties

Keywords

  • image super-resolution
  • quantitative acoustic imaging
  • scanning acoustic microscopy

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Khalilian-Gourtani, A., Wang, Y., & Mamou, J. (2018). Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (Vol. 2018-July, pp. 5113-5116). [8513411] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2018.8513411

Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. / Khalilian-Gourtani, Amirhossein; Wang, Yao; Mamou, Jonathan.

40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. p. 5113-5116 8513411.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Khalilian-Gourtani, A, Wang, Y & Mamou, J 2018, Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. vol. 2018-July, 8513411, Institute of Electrical and Electronics Engineers Inc., pp. 5113-5116, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 7/18/18. https://doi.org/10.1109/EMBC.2018.8513411
Khalilian-Gourtani A, Wang Y, Mamou J. Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Vol. 2018-July. Institute of Electrical and Electronics Engineers Inc. 2018. p. 5113-5116. 8513411 https://doi.org/10.1109/EMBC.2018.8513411
Khalilian-Gourtani, Amirhossein ; Wang, Yao ; Mamou, Jonathan. / Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. pp. 5113-5116
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