Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Beard, Paul"'
Autor:
Zhao, Tianrui, Pham, Truc Thuy, Baker, Christian, Ma, Michelle T., Ourselin, Sebastien, Vercauteren, Tom, Zhang, Edward, Beard, Paul C., Xia, Wenfeng
Photoacoustic (PA) endoscopy has shown significant potential for clinical diagnosis and surgical guidance. Multimode fibres (MMFs) are becoming increasing attractive for the development of miniature endoscopy probes owing to ultrathin size, low cost
Externí odkaz:
http://arxiv.org/abs/2205.03122
Publikováno v:
In Measurement 15 February 2024 225
Autor:
Pan, Bolin, Arridge, Simon R., Lucka, Felix, Cox, Ben T., Huynh, Nam, Beard, Paul C., Zhang, Edward Z., Betcke, Marta M.
Curvelet frame is of special significance for photoacoustic tomography (PAT) due to its sparsifying and microlocalisation properties. We derive a one-to-one map between wavefront directions in image and data spaces in PAT which suggests near equivale
Externí odkaz:
http://arxiv.org/abs/2011.13080
Autor:
Mezil, Sylvain, Caravaca-Aguirre, Antonio M., Zhang, Edward Z., Moreau, Philippe, Wang, Irène, Beard, Paul C., Bossy, Emmanuel
We present a minimally-invasive endoscope based on a multimode fiber that combines photoacoustic and fluorescence sensing. From the measurement of a transmission matrix during a prior calibration step, a focused spot is produced and raster-scanned ov
Externí odkaz:
http://arxiv.org/abs/2006.10856
Akademický článek
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Autor:
Sciscione, Fabiola, Guillaumé, Simon, Aliev, Abil E., Cook, Declan T., Bronstein, Hugo, Hailes, Helen C., Beard, Paul C., Kalber, Tammy L., Ogunlade, Olumide, Tabor, Alethea B.
Publikováno v:
In Bioorganic & Medicinal Chemistry 15 August 2023 91
Autor:
Hauptmann, Andreas, Cox, Ben, Lucka, Felix, Huynh, Nam, Betcke, Marta, Beard, Paul, Arridge, Simon
We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. The approximate model introduces aliasing artefacts in the gradient information
Externí odkaz:
http://arxiv.org/abs/1807.03191
Autor:
Lucka, Felix, Huynh, Nam, Betcke, Marta, Zhang, Edward, Beard, Paul, Cox, Ben, Arridge, Simon
A crucial limitation of current high-resolution 3D photoacoustic tomography (PAT) devices that employ sequential scanning is their long acquisition time. In previous work, we demonstrated how to use compressed sensing techniques to improve upon this:
Externí odkaz:
http://arxiv.org/abs/1802.05184
Autor:
Mathews, Sunish J., Shakir, Dzhoshkun I., Mosse, Charles A. *, Xia, Wenfeng, Zhang, Edward Z. *, Beard, Paul C. *, West, Simeon J., David, Anna L. *, Ourselin, Sebastien, Vercauteren, Tom, Desjardins, Adrien
Publikováno v:
In Ultrasound in Medicine & Biology March 2022 48(3):520-529
Autor:
Hauptmann, Andreas, Lucka, Felix, Betcke, Marta, Huynh, Nam, Adler, Jonas, Cox, Ben, Beard, Paul, Ourselin, Sebastien, Arridge, Simon
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed-up. In this work we present a deep neural network that is specifically designed to provid
Externí odkaz:
http://arxiv.org/abs/1708.09832