Robustness of 4D flow MRI derived aortic wall shear stress and pulse wave velocity across different protocols in healthy controls and in patients with bicuspid aortic valve.

Purpose: To evaluate the reproducibility of important biomarkers like wall shear stress (WSS), pulse wave velocity (PWV), and net flow across two 4D flow MRI imaging protocols with different coverages: aorta-targeted 4D flow MRI (AT4D) and whole-heart 4D flow (WH4D) protocols.

Methods: Thirty-eight control subjects (43.2 ± 10.

Macrovascular blood flow and microvascular cerebrovascular reactivity are regionally coupled in adolescence.

Cerebrovascular imaging assessments are particularly challenging in adolescent cohorts, where not all modalities are appropriate, and rapid brain maturation alters hemodynamics at both macro- and microvascular scales. In a preliminary sample of healthy adolescents (n = 12, 8-25 years), we investigated relationships between 4D flow MRI-derived blood velocity and blood flow in bilateral anterior, middle, and posterior cerebral arteries and BOLD cerebrovascular reactivity (CVR) in associated vascular territories. As hypothesized, higher velocities in large arteries are associated with an earlier response to a vasodilatory stimulus (cerebrovascular reactivity delay) in the downstream territory.

High-resolution computed tomography scan dataset of lower Mount Simon Sandstone samples from the Illinois Basin.

This dataset encompasses high-resolution computed tomography scans of small samples of the lower Mount Simon Sandstone from the subsurface of the Illinois Basin. Samples were collected as part of various geological carbon storage characterization efforts and publications focusing on the Mount Simon as a storage reservoir, with scanning performed at the National Energy Technology Laboratory. Thirty-seven three-dimensional (3D) volumes at various resolutions are described and presented as a resource that illustrates the pore and grain size distributions, as well as other petrographic characteristics.

Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network.

Introduction: Intracranial 4D flow MRI enables quantitative assessment of hemodynamics in patients with intracranial atherosclerotic disease (ICAD). However, quantitative assessments are still challenging due to the time-consuming vessel segmentation, especially in the presence of stenoses, which can often result in user variability. To improve the reproducibility and robustness as well as to accelerate data analysis, we developed an accurate, fully automated segmentation for stenosed intracranial vessels using deep learning.

Relationships Among Mode of Birth, Onset of Labor, and Bishop Score.

Objective: To investigate mode of birth in relation to onset of labor and Bishop score.

Design: Retrospective observational cohort design.

Setting: A 434-bed Magnet redesignated community hospital.