Paper
15 March 2016 Image reconstruction algorithms with wavelet filtering for optoacoustic imaging
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Abstract
Optoacoustic imaging (OAI) is a hybrid biomedical imaging modality based on the generation and detection of ultrasound by illuminating the target tissue by laser light. Typically, laser light in visible or near infrared spectrum is used as an excitation source. OAI is based on the implementation of image reconstruction algorithms using the spatial distribution of optical absorption in tissues. In this work, we apply a time-domain back-projection (BP) reconstruction algorithm and a wavelet filtering for point and line detection, respectively. A comparative study between point detection and integrated line detection has been carried out by evaluating their effects on the image reconstructed. Our results demonstrate that the back-projection algorithm proposed is efficient for reconstructing high-resolution images of absorbing spheres embedded in a non-absorbing medium when it is combined with the wavelet filtering.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Gawali, Luca Leggio, C. Broadway, P. González, M. Sánchez, S. Rodríguez, and H. Lamela "Image reconstruction algorithms with wavelet filtering for optoacoustic imaging", Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 970842 (15 March 2016); https://doi.org/10.1117/12.2208598
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Cited by 1 scholarly publication.
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KEYWORDS
Image filtering

Wavelets

Reconstruction algorithms

Sensors

Image restoration

Signal detection

Tissues

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