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- W179992037 abstract "Optoacoustic tomography (OAT), also known as photoacoustic tomography, is an emerging computed biomedical imaging modality that exploits optical contrast and ultrasonic detection principles. Iterative image reconstruction algorithms that are based on discrete imaging models are actively being developed for OAT due to their ability to improve image quality by incorporating accurate models of the imaging physics, instrument response, and measurement noise.In this work, we investigate the use of discrete imaging models based on Kaiser-Bessel window functions, or `blobs', for iterative image reconstruction in OAT.A closed-form expression for the pressure produced by a blob function is calculated, which facilitates accurate computation of the system matrix. Computer-simulation and experimental studies are employed to demonstrate the potential advantages of blob-based iterative image reconstruction in OAT." @default.
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- W179992037 date "2013-10-03" @default.
- W179992037 modified "2023-09-27" @default.
- W179992037 title "Blob-Based Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography" @default.
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