Paper
7 June 2011 Reconstruction algorithms for optoacoustic imaging based on fiber optic detectors
Horacio Lamela, Gonzalo Díaz-Tendero, Rebeca Gutiérrez, Daniel Gallego
Author Affiliations +
Abstract
Optoacoustic Imaging (OAI), a novel hybrid imaging technology, offers high contrast, molecular specificity and excellent resolution to overcome limitations of the current clinical modalities for detection of solid tumors. The exact time-domain reconstruction formula produces images with excellent resolution but poor contrast. Some approximate time-domain filtered back-projection reconstruction algorithms have also been reported to solve this problem. A wavelet transform implementation filtering can be used to sharpen object boundaries while simultaneously preserving high contrast of the reconstructed objects. In this paper, several algorithms, based on Back Projection (BP) techniques, have been suggested to process OA images in conjunction with signal filtering for ultrasonic point detectors and integral detectors. We apply these techniques first directly to a numerical generated sample image and then to the laserdigitalized image of a tissue phantom, obtaining in both cases the best results in resolution and contrast for a waveletbased filter.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Horacio Lamela, Gonzalo Díaz-Tendero, Rebeca Gutiérrez, and Daniel Gallego "Reconstruction algorithms for optoacoustic imaging based on fiber optic detectors", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80581B (7 June 2011); https://doi.org/10.1117/12.884316
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CITATIONS
Cited by 3 patents.
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KEYWORDS
Sensors

Reconstruction algorithms

Signal detection

Detection and tracking algorithms

Image resolution

Absorption

Tissue optics

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