Compressed quantitative acoustic microscopy

J. H. Kim, P. R. Hill, N. Canagarajah, D. Rohrbach, D. Kouame, J. Mamou, A. Achim, A. Basarab

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

300 Downloads (Pure)


Scanning acoustic microscopy is a well-accepted modality for forming quantitative 2D maps of acoustic properties of soft tissues at microscopic scales. In our studies, the sample is raster-scanned with a spatial step size of 2 μm using a 250 MHz transducer resulting in 3D RF data cubes. Each RF signal is processed to obtain, for each spatial location, acoustic parameters, e.g., the speed of sound. The scanning time is directly dependent on the sample size and can range from few minutes to hours. In order to maintain constant experimental conditions for the sensitive thin sectioned samples, the scanning time is an important practical issue. Hence, the main objective of this work is to reduce the scanning time by reconstructing acoustic microscopy images from spatially under sampled measurements, based on the theory of compressive sampling. A recently proposed approximate message passing method using a Cauchy maximum a posteriori image denoising algorithm is thus employed to account for the non-Gaussianity of quantitative acoustic microscopy wavelet coefficients.

Original languageEnglish
Title of host publication2017 IEEE International Ultrasonics Symposium (IUS 2017)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)9781538633830
ISBN (Print)9781538633847
Publication statusE-pub ahead of print - 2 Nov 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: 6 Sept 20179 Sept 2017

Publication series

ISSN (Print)1948-5727


Conference2017 IEEE International Ultrasonics Symposium, IUS 2017
Country/TerritoryUnited States


  • Approximate message passing
  • Cauchy distribution
  • Compressive sampling
  • Scanning acoustic microscopy


Dive into the research topics of 'Compressed quantitative acoustic microscopy'. Together they form a unique fingerprint.

Cite this