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pro vyhledávání: '"Burgholzer, Peter"'
Autor:
Haltmeier, Markus, Ye, Matthias, Felbermayer, Karoline, Hinterleitner, Florian, Burgholzer, Peter
Significance: Compressed sensing (CS) uses special measurement designs combined with powerful mathematical algorithms to reduce the amount of data to be collected while maintaining image quality. This is relevant to almost any imaging modality, and i
Externí odkaz:
http://arxiv.org/abs/2402.15750
In this tutorial, we aim to directly recreate some of our "aha" moments when exploring the impact of heat diffusion on the spatial resolution limit of photothermal imaging. Our objective is also to communicate how this physical limit can nevertheless
Externí odkaz:
http://arxiv.org/abs/2310.13952
In this tutorial, we aim to directly recreate some of our "aha" moments when exploring the impact of heat diffusion on the spatial resolution limit of photothermal imaging. Our objective is also to communicate how this physical limit can nevertheless
Externí odkaz:
http://arxiv.org/abs/2310.13943
Autor:
Haltmeier, Markus, Obmann, Daniel, Felbermayer, Karoline, Hinterleitner, Florian, Burgholzer, Peter
We investigate resolution in photoacoustic tomography (PAT). Using Shannon theory, we investigate the theoretical resolution limit of sparse view PAT theoretically, and empirically demonstrate that all reconstruction methods used exceed this limit.
Externí odkaz:
http://arxiv.org/abs/2310.09447
In this tutorial, we combine the different scientific fields of information theory, thermodynamics, regularization theory and non-destructive imaging, especially for photoacoustic and photothermal imaging. The goal is to get a better understanding of
Externí odkaz:
http://arxiv.org/abs/2008.04696
Autor:
Ahmadi, Samim, Lecompagnon, Julien, Hirsch, Philipp Daniel, Burgholzer, Peter, Jung, Peter, Caire, Giuseppe, Ziegler, Mathias
A photothermal super resolution technique is proposed for an improved inspection of internal defects. To evaluate the potential of the laser-based thermographic technique, an additively manufactured stainless steel specimen with closely spaced intern
Externí odkaz:
http://arxiv.org/abs/2007.03341
Autor:
Antholzer, Stephan, Schwab, Johannens, Bauer-Marschallinger, Johannes, Burgholzer, Peter, Haltmeier, Markus
We discuss several methods for image reconstruction in compressed sensing photoacoustic tomography (CS-PAT). In particular, we apply the deep learning method of [H. Li, J. Schwab, S. Antholzer, and M. Haltmeier. NETT: Solving Inverse Problems with De
Externí odkaz:
http://arxiv.org/abs/1901.11158
Autor:
Lang, Oliver, Kovacs, Peter, Motz, Christian, Huemer, Mario, Berer, Thomas, Burgholzer, Peter
In photoacoustic imaging, ultrasound waves generated by a temperature rise after illumination of light absorbing structures are measured on the sample surface. These measurements are then used to reconstruct the optical absorption. We develop a metho
Externí odkaz:
http://arxiv.org/abs/1808.00218
Autor:
Haltmeier, Markus, Sandbichler, Michael, Berer, Thomas, Bauer-Marschallinger, Johannes, Burgholzer, Peter, Nguyen, Linh
Compressed sensing (CS) is a promising approach to reduce the number of measurements in photoacoustic tomography (PAT) while preserving high spatial resolution. This allows to increase the measurement speed and to reduce system costs. Instead of coll
Externí odkaz:
http://arxiv.org/abs/1801.00117
Autor:
Felbermayer, Karoline, van Frank, Sandrine, Heise, Bettina, Brandstetter, Markus, Rankl, Christian, Ladner, Harald, Burgholzer, Peter
Publikováno v:
Sensors (14248220); Oct2024, Vol. 24 Issue 19, p6367, 13p