Variational Photoacoustic Image Reconstruction with Spatially Resolved Projection Data

Kerstin Hammernik, Thomas Pock, Robert Nuster

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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 languageEnglish
Title of host publicationProceedings Volume 10064, Photons Plus Ultrasound
Subtitle of host publicationImaging and Sensing 2017
Volume10064
DOIs
Publication statusPublished - 2017
EventPhotons Plus Ultrasound: Imaging and Sensing 2017: SPIE BiOS 2017 - San Francisco, United States
Duration: 28 Jan 20172 Feb 2017

Conference

ConferencePhotons Plus Ultrasound: Imaging and Sensing 2017
Country/TerritoryUnited States
CitySan Francisco
Period28/01/172/02/17

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