Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Marcel Arditi"'
Autor:
Hessel Wijkstra, Marcel Arditi, Simona Turco, Massimo Mischi, R.R. Wildeboer, Jonathan R. Lindner, Peter Frinking
Publikováno v:
Ultrasound in Medicine and Biology. 46(3):518-543
Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of indicator dilution principles and dynamic contrast-enhanced ultrasound (DCE-US) imaging. UCAs are microbubbles encapsulated in a biocompatible shell.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c29cc5618601061adc6516dfdb7ef5
http://www.scopus.com/inward/record.url?scp=85077655323&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85077655323&partnerID=8YFLogxK
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:
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
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:
Jean-Philippe Thiran, Marcel Arditi, Florian Martinez, Dimitris Perdios, Adrien Besson, Yves Wiauxy
Publikováno v:
Heriot-Watt University
In pulse-echo ultrasound (US) imaging, recovering the tissue response from the element-raw data can be formulated as an ill-posed inverse problem. Standard methods rely on the delay-and-sum (DAS) which gives a fast, but rough, estimated solution of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2b33c129e6f24e361496648c7e39e00
https://doi.org/10.1109/ultsym.2017.8092760
https://doi.org/10.1109/ultsym.2017.8092760
Publikováno v:
2017 IEEE International Ultrasonics Symposium (IUS).
Compressed sensing (CS) has drawn many interest in the field ultrasound (US) image recovery. It has demonstrated promising results in the recovery of radio-frequency element raw-data [Liebgott et. al. ULTRAS13, Besson et. al. SPARS17]. The objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::392c597ed0d3d9cb3483cb4b332cd5ab
https://doi.org/10.1109/ultsym.2017.8092262
https://doi.org/10.1109/ultsym.2017.8092262
Autor:
Marcel Arditi, A. Ibrahim, Jean-Philippe Thiran, Luca Benini, Federico Angiolini, Pascal A. Hager, Andrea Bartolini, Giovanni De Micheli
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems, 11 (4)
IEEE Transactions on Biomedical Circuits and Systems, 11 (4)
ISSN:1932-4545
ISSN:1940-9990
ISSN:1932-4545
ISSN:1940-9990
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::637c3480ba295ea685b16fe7b41a2f07
http://hdl.handle.net/11585/614092
http://hdl.handle.net/11585/614092
Autor:
Marcel Arditi, G. De Micheli, A. Ibrahim, Jean-Philippe Thiran, Federico Angiolini, William Andrew Simon, Ahmet Caner Yuzuguler
Publikováno v:
DASIP
In medical diagnosis, ultrasound (US) imaging is one of the most common, safe, and powerful techniques. Volumetric (3D) US is potentially very attractive, compared to 2D US, because it might enable telesonography - decoupling the local image acquisit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22cdb0f7b5584dcd9f250a84a0f96517
https://doi.org/10.1109/dasip.2016.7853826
https://doi.org/10.1109/dasip.2016.7853826