Signal processing for photoacoustic tomography

V. Moock*, C. García-Segundo, E. Garduño, F. Arámbula Cosio, J. Jithin, P. Van Es, S. Manohar, W. Steenbergen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)
8 Downloads (Pure)

Abstract

This study examines one of the open problems yet to solve in photoacoustic tomography: How to prepare photoacoustic signals to ensure interpretation as projection data? The main part of this difficulty is related to the setting of the linear photoacoustic transport model. Notably errors are due to the discrepancy between the mathematical reconstruction and the physical realization: Tomographic image reconstruction from projections require a linear acquisition system. However in practice, the physical reality presents different non-linear phenomena. In account of this incompatibility, it was our purpose to provide some advancement in signal processing for dealing the projection issue while considering different perspectives in the interpretation of the transport model to be applied in a broader manner. Numerical examples are analyzed in detail and unveil the foundations for photoacoustic signal processing methodologies focused on the task of tomographic image reconstruction from projections.

Original languageEnglish
Title of host publication2012 5th International Congress on Image and Signal Processing, CISP 2012
Pages957-961
Number of pages5
ISBN (Electronic)978-1-4673-0964-6, 978-1-4673-0963-9
DOIs
Publication statusPublished - 2012
Event5th International Congress on Image and Signal Processing, CISP 2012 - Chongqing, China
Duration: 16 Oct 201218 Oct 2012
Conference number: 5

Publication series

Name2012 5th International Congress on Image and Signal Processing, CISP 2012

Conference

Conference5th International Congress on Image and Signal Processing, CISP 2012
Abbreviated titleCISP 2012
Country/TerritoryChina
CityChongqing
Period16/10/1218/10/12

Keywords

  • acoustic tomography
  • remote sensing methods
  • Signal processing techniques for acoustic inverse problems
  • ultrasonographic imaging

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