4D flow magnetic resonance imaging (MRI) allows for the in vivo acquisition of time-resolved three-dimensional (3D) blood flow, enabling the evaluation of hemodynamic quantities for cerebral aneurysms (CAs). However, the accuracy of flow-derived hemodynamic quantities such as pressure and wall shear stress (WSS) is affected...
In Background – Oriented Schlieren (BOS), distortions of a pattern are used to characterize flow fields containing refractive gradients. In the process, they can lead to some uncertainty. We proposed a method to quantify one aspect of uncertainty – that introduced when the density gradient...
This study introduces a novel wall shear stress (WSS) estimation method for 4D flow MRI. The method improves the WSS accuracy by using the reconstructed pressure gradient and the flow-physics constraints to correct velocity gradient estimation. The method was tested on synthetic 4D flow data...
This work introduces a method to estimate the uncertainty of the pressure fields reconstructed from particle image velocimetry / particle tracking velocimetry (PIV/PTV) measurements by propagating the instantaneous velocity vector uncertainty through the pressure reconstruction. The uncertainty propagations through the calculation and integration of pressure...
Interface motion and hydrodynamic shear of the liquid slosh during the insertion of syringes upon autoinjector (AI) activation may damage the protein drug molecules. We experimentally investigate the interfacial motion and hydrodynamic shear due to the acceleration and deceleration of syringes. No study to date...
Pharmaceutical industry focuses on developing prefilled syringe and autoinjector (AI) products by expanding features and capabilities. However, most of them might not be aware of an undesired phenomenon that may occur during drug solution injection called cavitation collapse. Cavitation is a phenomenon in which rapid...
The 75th Annual Meeting began on Sunday, November 20, 2022, and ended on Tuesday, November 22, 2022. ...
We present a fully automated, adaptive, and robust feature-based cell tracking algorithm for the accurate detection and tracking of cells using time-lapse images. Our algorithm tackles measurement limitations twofold. First, we use Hessian filtering and adaptive thresholding to detect the cells in images, overcoming spatial...
With advancements in biotechnology, the production of highly concentrated antibody formulations for subcutaneous injections is becoming common in the biopharmaceutical industry. Measurement of transport and more importantly diffusion of proteins in tissues is essential in drug development. There is evidence suggesting that the assumption of the...
Particle Image Velocimetry (PIV) is a widely used non-invasive approach to finding a fluid flow velocity using tracer particles. Performing PIV measurement where the Signal-to-Noise Ratio (SNR) in the correlation plane is low can be unreliable and challenging. To address this issue, ensemble PIV has...