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Proceedings Paper

Variational photoacoustic image reconstruction with spatially resolved projection data
Author(s): Kerstin Hammernik; Thomas Pock; Robert Nuster
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Paper Abstract

In this work, we explore different reconstruction algorithms for photoacoustic image reconstruction of spatially resolved projection data. While the commonly used back-projected reconstruction is efficient and fast to compute, it cannot deal with noise that arises during measurements. Therefore, we formulate photoacoustic image reconstruction in a variational framework where we add prior knowledge in terms of Total Generalized Variation. Using this prior knowledge, we can reduce measurement noise and improve the visibility of vessel structures.

Paper Details

Date Published: 3 March 2017
PDF: 4 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100643I (3 March 2017); doi: 10.1117/12.2254863
Show Author Affiliations
Kerstin Hammernik, Graz Univ. of Technology (Austria)
Thomas Pock, Graz Univ. of Technology (Austria)
AIT Austrian Institute of Technology GmbH (Austria)
Robert Nuster, Univ. of Graz (Austria)


Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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