Keyword search (4,163 papers available)

"Ultrasound Imaging" Keyword-tagged Publications:

Title Authors PubMed ID
1 Comprehensive review of reinforcement learning for medical ultrasound imaging Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40567264
ENCS
2 CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning Elmekki H; Alagha A; Sami H; Spilkin A; Zanuttini AM; Zakeri E; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40107020
ENCS
3 The effect of micro-vessel viscosity on the resonance response of a two-microbubble system Yusefi H; Helfield B; 39705920
BIOLOGY
4 Subharmonic resonance of phospholipid coated ultrasound contrast agent microbubbles Yusefi H; Helfield B; 38217906
BIOLOGY
5 Ultrasonography of the multifidus muscle in student circus artists with and without low back pain: a cross-sectional study Bianca Rossini 37029443
PERFORM
6 Deep reconstruction of high-quality ultrasound images from raw plane-wave data: A simulation and in vivo study Goudarzi S; Rivaz H; 35728310
ENCS
7 Ultrasound Imaging Analysis of the Lumbar Multifidus Muscle Echo Intensity: Intra-Rater and Inter-Rater Reliability of a Novice and an Experienced Rater Fortin M; Rosenstein B; Levesque J; Nandlall N; 34065340
PERFORM
8 Lateral Position-Dependent Velocity Estimation Error in Plane-Wave Doppler Ultrasound Systems Wei L; Williams R; Loupas T; Helfield B; Burns PN; 34006440
IMAGING
9 LUMINOUS database: lumbar multifidus muscle segmentation from ultrasound images Belasso CJ; Behboodi B; Benali H; Boily M; Rivaz H; Fortin M; 33097024
PERFORM
10 The effect of low back pain and lower limb injury on lumbar multifidus muscle morphology and function in university soccer players. Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M 32050966
PERFORM
11 Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain. Fortin M, Rizk A, Frenette S, Boily M, Rivaz H 30897493
PERFORM

 

Title:Lateral Position-Dependent Velocity Estimation Error in Plane-Wave Doppler Ultrasound Systems
Authors:Wei LWilliams RLoupas THelfield BBurns PN
Link:https://pubmed.ncbi.nlm.nih.gov/34006440/
DOI:10.1016/j.ultrasmedbio.2021.03.023
Publication:Ultrasound in medicine & biology
Keywords:Aperture broadeningDoppler velocity estimationIntrinsic spectral broadeningPlane-wave ultrasound imagingVelocity error
PMID:34006440 Category: Date Added:2021-05-19
Dept Affiliation: IMAGING
1 Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Sunnybrook Research Institute, Toronto, Ontario, Canada.
2 Sunnybrook Research Institute, Toronto, Ontario, Canada.
3 Philips Ultrasound, Bothell, Washington, USA.
4 Concordia University, Montreal, Quebec, Canada.
5 Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Sunnybrook Research Institute, Toronto, Ontario, Canada. Electronic address: Petern.burns@utoronto.ca.

Description:

Doppler ultrasound has become a standard method used to diagnose and grade vascular diseases and monitor their progression. Conventional focused-beam color Doppler imaging is routinely used in clinical practice, but suffers from inherent trade-offs between spatial, temporal and velocity resolution. Newer, plane-wave Doppler imaging offers rapid simultaneous acquisition of B-mode, color and spectral Doppler information across large fields of view, making it a potentially useful method for quantitative estimation of blood flow velocities in the clinic. However, plane-wave imaging can lead to a substantial error in velocity estimation, which is dependent on the lateral location within the image. This is seen in both clinical and experimental plane-wave systems. In the work described in this article, we quantified this velocity error under different geometric and beamforming conditions using numerical simulation and experimental phantoms. We found that the lateral-dependent velocity errors are caused by asymmetrical geometric spectral broadening, and outline a correction algorithm that can mitigate these errors.





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