Datasets

subject: Biomedical Engineering

Total is 44 Results
A multi-modality approach for enhancing 4D flow MRI via sparse representation

10.4231/FB9P-5991

Jiacheng Zhang , Melissa Brindise , Michael Markl , Pavlos Vlachos , Sean Rothenberger ORCID logo , Vitaliy Rayz

09/22/2021

Data and source code to enhance the blood flow measurements and the hemodynamic analysis with 4D flow MRI in cerebral aneurysms using multi-modality data and sparse representation.

Biomedical Engineering Cerebral Aneurysm CFD Fluid Mechanics MRI PIV

Weathered Agent-Based Model of Microglia-Plaque Interactions

10.4231/2YEY-TD12

Catherine Weathered ORCID logo , Elsje Pienaar

03/15/2023

Model code from "Microglia Roles in Alzheimer’s Disease: An Agent-Based Model to Elucidate Microglial Spatiotemporal Response to Beta-Amyloid"

agent based model Alzheimer's Disease Biomedical Engineering microglia model

mHealth hyperspectral learning for hemodynamics

10.4231/VAFP-DW68

Young L Kim ORCID logo

03/27/2023

A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning is capable of recovering full spectroscopic resolution

Biomedical Engineering hemodynamics Matlab mHealth spectral learning

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

A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

10.4231/MBPK-D277

Matthew C Pharris , Tamara L Kinzer-Ursem ORCID logo

03/11/2019

This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

Biomedical Engineering Calmodulin Computational Modeling Neuroscience Protein Signaling

A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

10.4231/MV0Z-8Z57

Matthew C Pharris , Tamara L Kinzer-Ursem ORCID logo

07/29/2019

This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

Biomedical Engineering Calcium Calmodulin Computational Modeling Kinase Neuroscience Protein Signaling Rule-Based Modeling Synaptic Plasticity

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