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Digital Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29130

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Image Enhancement Algorithm of Photoacoustic Tomography Using Active Contour Filtering
The photoacoustic images are obtained from a custom developed linear array photoacoustic tomography system. The biological specimens are imitated by conducting phantom tests in order to retrieve a fully functional photoacoustic image. The acquired image undergoes the active region based contour filtering to remove the noise and accurately segment the object area for further processing. The universal back projection method is used as the image reconstruction algorithm. The active contour filtering is analyzed by evaluating the signal to noise ratio and comparing it with the other filtering methods.
Digital Object Identifier (DOI):


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[9] M Xu, L. V. Wang, “Universal back-projection algorithm for photoacoustic-computed tomography,” doi:10.1117/12.589146, 2005.
[10] Kass, Michael, Andrew Witkin, and Demetri Terzopoulos. "Snakes: Active contour models." International journal of computer vision 1.4 (1988): 321-331.
[11] Chan, Tony F., B. Yezrielev Sandberg, and Luminita A. Vese. "Active contours without edges for vector-valued images." Journal of Visual Communication and Image Representation 11.2 (2000): 130-141.
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[17] Li Lin; Jun Xia; Terence T. W. Wong; Lei Li and Lihong V. Wang "In vivo deep brain imaging of rats using oral-cavity illuminated photoacoustic computed tomography", J. Biomed. Opt. 20(1), 016019; Jan 22, 2015.
[18] T. F. Chan, L. A. Vese, Active contours without edges. IEEE Transactions on Image Processing, Volume 10, Issue 2, pp. 266-277, 2001.

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