Paper
4 March 2013 Vessel filtering of photoacoustic images
Author Affiliations +
Abstract
This paper investigates the application of the vessel filter proposed by Frangi et al., [MICCAI, LNCS vol. 1496, pp. 130-137, 1998] to photoacoustic images of the vasculature. The filter works by classifying the eigenvalue decomposition of the local Hessian matrix at each image voxel to find tubular structures in the image. A detailed analysis of the algorithm is provided, and the effect of the filters on photoacoustic images is studied using numerical and experimental phantoms. In particular, the impact of the filter on image resolution, feature preservation, and noise is discussed. The vessel filter is then applied to photoacoustic images of the vasculature in mice. The classical Hessian filter is shown to be highly effective at removing noise and highlighting vessels, at the expense of reducing the sharpness of vessel edges.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tanmayi Oruganti, Jan G. Laufer, and Bradley E. Treeby "Vessel filtering of photoacoustic images", Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 85811W (4 March 2013); https://doi.org/10.1117/12.2005988
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Cited by 19 scholarly publications.
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KEYWORDS
Photoacoustic spectroscopy

Image filtering

3D image processing

Image segmentation

Convolution

Signal to noise ratio

Algorithm development

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