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Adrian Basarab
Researcher at University of Toulouse
Publications - 174
Citations - 2664
Adrian Basarab is an academic researcher from University of Toulouse. The author has contributed to research in topics: Motion estimation & Deconvolution. The author has an hindex of 26, co-authored 159 publications receiving 2125 citations. Previous affiliations of Adrian Basarab include Paul Sabatier University & Centre national de la recherche scientifique.
Papers
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Proceedings ArticleDOI
P3H-2 Improved Beamforming for Lateral Oscillations in Elastography Using Synthetic Aperture Imaging
Herve Liebgott,Adrian Basarab,D. Loizeau,Jens E. Wilhjelm,Jørgen Arendt Jensen,Philippe Delachartre +5 more
TL;DR: In this article, a beamforming technique based on synthetic aperture imaging was proposed to improve the radio-frequency (RF) ultrasound images with lateral oscillations for lateral displacement estimation, which is necessary to reduce both the wavelength of the lateral oscillation and the width of the point spread function (PSF).
Journal ArticleDOI
Quantum Mechanics-Based Signal and Image Representation: Application to Denoising
TL;DR: In this article, a new approach of constructing such a signal or image-dependent bases inspired by quantum mechanics tools was investigated, i.e., by considering the image or signal as a potential in the discretized Schroedinger equation.
Proceedings ArticleDOI
Iterative Reconstruction of Medical Ultrasound Images Using Spectrally Constrained Phase Updates
TL;DR: A new method for blind deconvolution of ultrasound images is described, in which the errors due to inaccuracies in specification of the PSF are eliminated concurrently with estimation of tissue reflectivity directly from its associated radio-frequency data.
Proceedings ArticleDOI
Static mechanical assessment of elastic Young's modulus of tissue mimicking materials used for medical imaging
François Duboeuf,Herve Liebgott,Adrian Basarab,Elisabeth Brusseau,Philippe Delachartre,Didier Vray +5 more
TL;DR: A simple method for mechanical characterization of gels used in elastography that demonstrates good feasibility and acceptable reproducibility to mechanically characterize phantoms.
Journal ArticleDOI
Analytic signal phase-based myocardial motion estimation in tagged MRI sequences by a bilinear model and motion compensation.
Liang Wang,Adrian Basarab,Patrick Girard,Pierre Croisille,Pierre Croisille,Patrick Clarysse,Philippe Delachartre +6 more
TL;DR: The proposed algorithm, integrating phase-based optical flow motion estimation and the combination of global motion compensation with local bilinear transform, allows spatio-temporal cardiac motion analysis, e.g. strain and dense trajectory estimation over the cardiac cycle.