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.
|Title of host publication||Proceedings Volume 10064, Photons Plus Ultrasound|
|Subtitle of host publication||Imaging and Sensing 2017|
|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||Photons Plus Ultrasound: Imaging and Sensing 2017|
|Period||28/01/17 → 2/02/17|