Datasets

creator: Pavlos Vlachos, 0000-0002-8040-9257

Total is 13 Results
Mechanistic computational modeling of implantable, bioresorbable, drug release systems

10.4231/ASPM-SY16

Adib Ahmadzadegan , Areezo Ardekani , Barrett Davis ORCID logo , Joseph V Rispoli ORCID logo , Kelsey Hopkins , Luis Solorio , Nicole Vike , Patrick Giolando , Pavlos Vlachos ORCID logo , Tamara Kinzer-ursem ORCID logo

09/11/2023

Computational model to predict the drug release profiles from implantable systems with a range of size and molecular weight. Offers new insight into the impact of various parameters on drug release profiles.

advanced materials biodegradable drug delivery device in situ forming implant mathematical modeling microspheres

The role of absorbed energy on the oscillation mode of an air bubble in a cavitation-induced acoustic field

10.4231/MV0J-XM83

Javad Eshraghi ORCID logo , Pavlos Vlachos ORCID logo , Sayantan Bhattacharya

11/15/2022

When an acoustic pressure drives a gas bubble in a liquid, the bubble undergoes volume oscillation, i.e., the radial expansion and contraction of the bubble without varying its shape. However, if the amplitude of the driving waves exceeds a...

acoustic signals Cavitation Mechanical Engineering oscillation

Automatic 4D flow MRI Segmentation Using the Standardized Difference of Means Velocity

10.4231/F75X-1N34

Bruce Craig ORCID logo , Jiacheng Zhang ORCID logo , Michael Markl , Neal Patel , Pavlos Vlachos ORCID logo , Sameer Ansari , Sean Michael Rothenberger ORCID logo , Susanne Schnell , Vitaliy Rayz

02/02/2023

We provide 4D flow MRI velocity measurements in two in vitro flow phantoms of a cerebral aneurysm. One phantom is unscaled (1-to-1), and the other is scaled by a factor of two in all dimensions (2-to-1).

angiography Biomedical Engineering hemodynamics Magnetic Resonance Velocimetry Matlab Phase Contrast Magnetic Resonance Imaging

Estimation of the Probability Density Function of Random Displacements from Images

10.4231/34TJ-S109

Adib Ahmadzadegan ORCID logo , Arezoo Ardekani , Pavlos Vlachos ORCID logo

07/27/2020

We introduce a novel approach to Image-based Probability Estimation of Displacement (iPED) which is direct estimation of the PDF of displacement of racers within images. Data sets to reproduce the plots and sample images are available here.

Diffusion measurement image processing Mechanical Engineering particle image velocimetry Probability density function estimation Random Process

Dot tracking methodology for background-oriented schlieren (BOS)

10.4231/X101-WK63

Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , Sally P M Bane

05/18/2021

A dot tracking method to process BOS images that improves the accuracy, precision, and spatial resolution of the measurements

Aeronautics and Astronautics Engineering background oriented schlieren image processing Matlab particle tracking velocimetry

A data assimilation method for analysis of cavitation bubble dynamics

10.4231/0YAM-9T87

Arezoo Ardekani , Javad Eshraghi ORCID logo , Pavlos Vlachos ORCID logo

04/13/2021

Here, we present a novel state-observer data-assimilation technique designed to fuse time-resolved cavitation bubble diameter measurements with a governing model to yield enhanced Spatio-temporal prediction of the cavitation bubble dynamics.

Cavitation Data assimilation Experimental Tests Fluid Mechanics image processing Mechanical Engineering Physics PID controller

Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang ORCID logo , Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , Sally P M Bane , Sayantan Bhattacharya

05/18/2021

We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification

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