Damien Garcia

Dr. Damien Garcia

orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2010 in Computational Statistics & Data Analysis
Verified
Journal Article
Closed access
DGDamien Garcia
Damien Garcia

1 July 2005 in JACC
Verified
Journal Article
Closed access
MBMartin Briand
Martin Briand
JDJean G. Dumesnil
Jean G. Dumesnil
LKLyes Kadem
Lyes Kadem
ATAntonio G. Tongue
Antonio G. Tongue
RRRégis Rieu
Régis Rieu
PPPhilippe Pibarot
Philippe Pibarot

1 March 2021 in Ultrasonics
Verified
Journal Article
Closed access
VPVincent Perrot
Vincent Perrot
MPMaxime Polichetti
Maxime Polichetti
FVFrançois Varray
François Varray
DGDamien Garcia
Damien Garcia

22 February 2000 in Circulation
Verified
Journal Article
Closed access
DGDamien Garcia
Damien Garcia
PPPhilippe Pibarot
Philippe Pibarot
JDJean G. Dumesnil
Jean G. Dumesnil
FSFrédÉrIc Sakr
FrédÉrIc Sakr
LDLouis-Gilles Durand
Louis-Gilles Durand
Background —Fluid energy loss across stenotic aortic valves is influenced by factors other than the valve effective orifice area (EOA). We propose a new index that will provide a more accurate estimate of this energy loss. Methods and Results —An experimental model was designed to measure EOA and energy loss in 2 fixed stenoses and 7 bioprosthetic valves for different flow rates and 2 different aortic sizes (25 and 38 mm). The results showed that the relationship between EOA and energy loss is influenced by both flow rate and aortic cross-sectional area (A A ) and that the energy loss is systematically higher (15±2%) in the large aorta. The coefficient (EOA×A A )/(A A −EOA) accurately predicted the energy loss in all situations ( r 2 =0.98). This coefficient is more closely related to the increase in left ventricular workload than EOA. To account for varying flow rates, the coefficient was indexed for body surface area in a retrospective study of 138 patients with moderate or severe aortic stenosis. The energy loss index measured by Doppler echocardiography was superior to the EOA in predicting the end points, which were defined as death or aortic valve replacement. An energy loss index ≤0.52 cm 2 /m 2 was the best predictor of adverse outcomes (positive predictive value of 67%). Conclusions —This new energy loss index has the potential to reflect the severity of aortic stenosis better than EOA. Further prospective studies are necessary to establish the relevance of this index in terms of clinical outcomes.

30 August 2013 in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Verified
Journal Article
Closed access
DGDamien Garcia
Damien Garcia
LTL. L. Tarnec
L. L. Tarnec
SMStéphan Muth
Stéphan Muth
EMEmmanuel Montagnon
Emmanuel Montagnon
JPJonathan Porée
Jonathan Porée
GCGuy Cloutier
Guy Cloutier
Ultrafast ultrasound is an emerging modality that offers new perspectives and opportunities in medical imaging. Plane wave imaging (PWI) allows one to attain very high frame rates by transmission of planar ultrasound wavefronts. As a plane wave reaches a given scatterer, the latter becomes a secondary source emitting upward spherical waves and creating a diffraction hyperbola in the received RF signals. To produce an image of the scatterers, all the hyperbolas must be migrated back to their apexes. To perform beamforming of plane wave echo RFs and return high-quality images at high frame rates, we propose a new migration method carried out in the frequency-wavenumber (f-k) domain. The f-k migration for PWI has been adapted from the Stolt migration for seismic imaging. This migration technique is based on the exploding reflector model (ERM), which consists in assuming that all the scatterers explode in concert and become acoustic sources. The classical ERM model, however, is not appropriate for PWI. We showed that the ERM can be made suitable for PWI by a spatial transformation of the hyperbolic traces present in the RF data. In vitro experiments were performed to outline the advantages of PWI with Stolt's f-k migration over the conventional delay-and-sum (DAS) approach. The Stolt's f-k migration was also compared with the Fourier-based method developed by J.-Y. Lu. Our findings show that multi-angle compounded f-k migrated images are of quality similar to those obtained with a stateof- the-art dynamic focusing mode. This remained true even with a very small number of steering angles, thus ensuring a highly competitive frame rate. In addition, the new FFT-based f-k migration provides comparable or better contrast-to-noise ratio and lateral resolution than the Lu's and DAS migration schemes. Matlab codes for the Stolt's f-k migration for PWI are provided.

1 April 2012 in Environmental Modelling & Software
Verified
Journal Article
Closed access
GWGuojie Wang
Guojie Wang
DGDamien Garcia
Damien Garcia
YLYi Liu
Yi Liu
RJRichard de Jeu
Richard de Jeu
ADA. Johannes Dolman
A. Johannes Dolman