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...
The transition from fetal to neonatal circulation significantly impacts systemic right ventricle (SRV) function, but traditional imaging methods struggle to capture these changes. This study used advanced echocardiographic analysis to compare biomechanical and flow alterations in 10 SRV patients and 12 healthy controls, measured at 33 weeks gestation and after birth. We...
Four-dimensional flow MRI (4D flow MRI) is a powerful tool for assessing right ventricular (RV) flow dynamics in congenital heart disease, but its limited availability restricts widespread use. Doppler Velocity Reconstruction (DoVeR)from conventional echocardiography offers a promising alternative, but its accuracy compared to 4D flow MRI needs further validation....
Repaired tetralogy of Fallot (RTOF) patients often develop right ventricular (RV) dysfunction due to chronic pulmonary regurgitation, but detecting early changes in intracardiac flow remains challenging. While advanced imaging techniques like four-dimensional cardiac magnetic resonance (CMR) provide insights into vorticity and flow energy loss (FEL),...
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...