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.
Original language | English |
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Title of host publication | Proceedings Volume 10064, Photons Plus Ultrasound |
Subtitle of host publication | Imaging and Sensing 2017 |
Volume | 10064 |
DOIs | |
Publication status | Published - 2017 |
Event | Photons Plus Ultrasound: Imaging and Sensing 2017: SPIE BiOS 2017 - San Francisco, United States Duration: 28 Jan 2017 → 2 Feb 2017 |
Conference
Conference | Photons Plus Ultrasound: Imaging and Sensing 2017 |
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Country/Territory | United States |
City | San Francisco |
Period | 28/01/17 → 2/02/17 |