Low-rank matrix estimation-based spatiotemporal image reconstruction from few tomographic measurements per frame for dynamic photoacoustic computed tomography

Refik Mert Cam; Chao Wang; Weylan Thompson; Sergey A. Ermilov; Mark A. Anastasio; Umberto Villa

doi:10.1117/12.2654199

7 April 2023 Low-rank matrix estimation-based spatiotemporal image reconstruction from few tomographic measurements per frame for dynamic photoacoustic computed tomography

Refik Mert Cam, Chao Wang, Weylan Thompson, Sergey A. Ermilov, Mark A. Anastasio, Umberto Villa

Author Affiliations +

Proceedings Volume 12463, Medical Imaging 2023: Physics of Medical Imaging; 124630R (2023) https://doi.org/10.1117/12.2654199
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Previous studies of dynamic photoacoustic computed tomography (PACT) consider the case where complete data can be rapidly acquired and employed to directly reconstruct a sequence of images. However, such frame-by-frame methods do not apply to commercially available volumetric PACT imaging systems with rotating gantries because the object varies during data acquisition. Furthermore, the rotation speed and the laser repetition rate limit the number of tomographic views per frame. In this study, a low-rank matrix estimation-based spatiotemporal image reconstruction method attuned to rotating-gantry volumetric PACT systems is proposed, and its accuracy is shown by numerical and experimental studies.

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Refik Mert Cam, Chao Wang, Weylan Thompson, Sergey A. Ermilov, Mark A. Anastasio, and Umberto Villa "Low-rank matrix estimation-based spatiotemporal image reconstruction from few tomographic measurements per frame for dynamic photoacoustic computed tomography", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124630R (7 April 2023); https://doi.org/10.1117/12.2654199

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