The Application of Compressed Sensing for Photo-Acoustic Tomography
By Jean Provost, Frederic Lesage. IEEE Transactions on Medical Imaging, 2009
305 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanics of Materials, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/128f89960a92317fe9af8cda8ea0e50da49e4f0c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Vasilis Ntziachristos
- Simon Robert Arridge
- Daniel Razansky
- B. Cox
- Ramalingam Chellappa
- Andreas Hauptmann
- Vishal M. Patel
- Paul C. Beard
In Mechanics of Materials
- Vasilis Ntziachristos
- Daniel Razansky
- B. Cox
- Simon Robert Arridge
- Paul C. Beard
- Amir Rosenthal
- Jonas Adler
- Ramalingam Chellappa
In Radiology, Nuclear Medicine and Imaging
- Vasilis Ntziachristos
- Simon Robert Arridge
- B. Cox
- Daniel Razansky
- Vishal M. Patel
- Paul C. Beard
- Andreas Hauptmann
- Sébastien Ourselin
Citations in the corpus
- Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography (2017, methodology): “In PAT this has been studied for example in [13] and [31]–[34].”
- Fast Semi-Analytical Model-Based Acoustic Inversion for Quantitative Optoacoustic Tomography (2010, methodology): “conditioned itself, previous model-based optoacoustic reconstructions, which were based on frequency-domain models, required regularization to obtain quantitative results [7], [15].”
- Compressed Synthetic Aperture Radar (2010, background): “D phase histories along the slow-time axis randomly.”