Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Dimitris Perdios"'
Autor:
Jean-Philippe Thiran, Adrien Besson, Yves Wiaux, Paul Hurley, Lucien Roquette, Marcel Arditi, Matthieu Martin Jean-Andre Simeoni, Dimitris Perdios
Publikováno v:
IEEE Transactions on Computational Imaging. 5:381-394
While restoration methods have been extensively studied in ultrasound (US) imaging, only few recent works have focused on modeling and understanding the blur from a physical point of view even in simple configurations, such as lossless homogeneous me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8f4911a3b79b193a44c519be361e345
https://doi.org/10.1109/tci.2019.2897951
https://doi.org/10.1109/tci.2019.2897951
Publikováno v:
IEEE Signal Processing Letters. 26:84-88
We investigate the benefits of known partial support for the recovery of joint-sparse signals and demonstrate that it is advantageous in terms of recovery performance for both rank-blind and rank-aware algorithms. We suggest extensions of several joi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb248a4c543ae97616cebcd7a6b6758
https://doi.org/10.1109/lsp.2018.2880571
https://doi.org/10.1109/lsp.2018.2880571
Publikováno v:
2020 IEEE International Ultrasonics Symposium (IUS).
Sparse arrays are a topic of high interest within the ultrasound (US) imaging community, because of their promising ability to reduce costs, complexity, energy consumption, and data transfer requirements of US systems, thus addressing the main challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42e3c395fb8eb989de4a3ad4da0d304
https://doi.org/10.1109/ius46767.2020.9251442
https://doi.org/10.1109/ius46767.2020.9251442
Ultrafast ultrasound (US) revolutionized biomedical imaging with its capability of acquiring full-view frames at over 1 kHz, unlocking breakthrough modalities such as shear-wave elastography and functional US neuroimaging. Yet, it suffers from strong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a8c14b9584c2731fe1081199ca16ab
http://arxiv.org/abs/2008.12750
http://arxiv.org/abs/2008.12750
Thanks to its capability of acquiring full-view frames at multiple kilohertz, ultrafast ultrasound imaging unlocked the analysis of rapidly changing physical phenomena in the human body, with pioneering applications such as ultrasensitive flow imagin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaf7cf8f3963c893a8c2fcfc649cdb83
Publikováno v:
2019 IEEE International Ultrasonics Symposium (IUS).
Recently, deep learning entered the ultrasound (US) image reconstruction community, demonstrating unprecedented performances on image reconstruction tasks. The use of deep neural networks to reconstruct, restore or enhance US images has been challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d0de834a0d5ccbdd4ebe526d7f1082e
https://doi.org/10.1109/ultsym.2019.8925595
https://doi.org/10.1109/ultsym.2019.8925595
Autor:
Manuel Vonlanthen, Adrien Besson, Marcel Arditi, Dimitris Perdios, Jean-Philippe Thiran, Florian Martinez
Publikováno v:
CISS
Recently, many pulse-echo ultrasound (US) imaging methods have relied on the transmission of unfocused wavefronts. Such a strategy allows for very high frame rates at the cost of a degraded image quality. In this work, we present a regularized invers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8240afff2def4e1bb40f11e8c86d4f31
https://doi.org/10.1109/ciss.2019.8692870
https://doi.org/10.1109/ciss.2019.8692870
Publikováno v:
2018 IEEE International Ultrasonics Symposium (IUS).
High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ebd880ad184213e9ed5e756c79e075
https://doi.org/10.1109/ultsym.2018.8580067
https://doi.org/10.1109/ultsym.2018.8580067
Autor:
Eric Bezzam, Jean-Philippe Thiran, Dimitris Perdios, Martin Vetterli, Adrien Besson, Hanjie Pan
Publikováno v:
2018 IEEE International Ultrasonics Symposium (IUS).
In this paper we show that it is sufficient to recover the locations of $K$ strong reflectors within an insonified medium from three receive elements and 2K+ 1 samples per element. The proposed approach leverages advances in sampling signals with a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8acde5aea63cc3067da295216a42993
https://doi.org/10.1109/ultsym.2018.8580184
https://doi.org/10.1109/ultsym.2018.8580184
Autor:
Ole Marius Hoel Rindal, Dimitris Perdios, Alfonso Rodriguez-Molares, Hendrik H.G. Hansen, Pedro Santos, David Bradway, Stefano Ricci, Matthias Bo Stuart, Pieter Kruizinga, Olivier Bernard, Arun Asokan Nair
Publikováno v:
Bernard, O, Bradway, D, Hansen, H H G, Kruizinga, P, Nair, A, Perdios, D, Ricci, S, Rindal, O M H, Rodriguez-Molares, A, Stuart, M B & Dos Santos, P F V 2018, The Ultrasound File Format (UFF)-First draft . in Proceedings of 2018 IEEE International Ultrasonics Symposium . IEEE, 2018 IEEE International Ultrasonics Symposium, Kobe, Japan, 22/10/2018 . https://doi.org/10.1109/ULTSYM.2018.8579642
The lack of a standard format for storing ultrasound research data is hindering our ability to share and compare research results. This is slowing down the progress in our field, making it difficult to assess the relevance of new techniques. In Octob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deaee1ffb1f3b9952497f815d345e695
https://orbit.dtu.dk/en/publications/c270bfc1-9a69-42f5-82e7-a6143fc45819
https://orbit.dtu.dk/en/publications/c270bfc1-9a69-42f5-82e7-a6143fc45819