scholarly journals Time Resolved 3D MRA. Applications for Interventional Neuroradiology

2006 ◽  
Vol 12 (3) ◽  
pp. 223-231 ◽  
Author(s):  
CP Stracke ◽  
E. Spuentrup ◽  
P. Reinacher ◽  
A. Thron ◽  
T. Krings
Keyword(s):  
Spatial Resolution ◽  
Parallel Imaging ◽  
Three Dimensional ◽  
Interventional Neuroradiology ◽  
Structural Mri ◽  
Vascular Lesion ◽  
Whole Body ◽  
Time Resolved ◽  
Hemodynamic Characteristics ◽  
Temporal And Spatial

The decision for endovascular treatment of cranial dural AV fistulae and angiomas and their follow-up after treatment is usually based on conventional DSA. New techniques of magnetic resonance angiography (MRA) facilitate high temporal and spatial resolution images. The purpose of this study was to evaluate the applicability and clinical use of a newly developed 3D dynamic MRA protocol on a 3T scanner for neurointerventional planning and decision-making. Using a 3T whole body scanner, a three-dimensional dynamic contrast enhanced MRA sequence with parallel imaging, and intelligent k-space readout (Keyhole and “CENTRA” k-space filling) was added to structural MRI and time-of-flight MRA in seven patients. DSA was performed in each patient following MR examination. In all patients MRA allowed the identification and correct classification of the vascular lesion. Hemodynamic characteristics and venous architecture were clearly demonstrated. Larger feeding arteries could be identified in all cases. Smaller feeding vessels were overlooked in dynamic MRA and only depicted in conventional DSA High temporal and spatial resolution 3D MRA may correctly identify and classify fistulae and angiomas and help to reduce the number of pre- or post-interventional invasive diagnostic angiograms.

scholarly journals High temporal and spatial resolution 3D time-resolved contrast-enhanced magnetic resonance angiography of the hands and feet

2011 ◽  
Vol 34 (1) ◽  
pp. 2-12 ◽  
Author(s):  
Clifton R. Haider ◽  
Stephen J. Riederer ◽  
Eric A. Borisch ◽  
James F. Glockner ◽  
Roger C. Grimm ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Angiography ◽  
Spatial Resolution ◽  
Time Resolved ◽  
Contrast Enhanced ◽  
Temporal And Spatial ◽  
Hands And Feet

scholarly journals Successive filament eruptions within one solar breakout event

2013 ◽  
Vol 8 (S300) ◽  
pp. 231-234
Author(s):  
Yuandeng Shen
Keyword(s):  
Structural Properties ◽  
Spatial Resolution ◽  
Source Region ◽  
Three Dimensional ◽  
Magnetic Topology ◽  
Magnetic Source ◽  
Physical Linkage ◽  
Temporal And Spatial ◽  
Coronal Field

AbstractThe magnetic breakout model has been widely used to explain solar eruptive activities. Here, we apply it to explain successive filament eruptions occurred in a quadrupolar magnetic source region. Based on the high temporal and spatial resolution, multi-wavelengths observations taken by the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamic Observatory (SDO), we find some signatures that support the occurrence of breakout-like external reconnection just before the start of the successive filament eruptions. Furthermore, the extrapolated three-dimensional coronal field also reveals that the magnetic topology above the quadrupolar source region resembles that of the breakout model. We propose a possible mechanism within the framework of the breakout model to interpret the successive filament eruptions, in which the so-called magnetic implosion mechanism is firstly introduced to be the physical linkage of successive filament eruptions. We conclude that the structural properties of coronal fields are important for producing successive filament eruptions.

Positron Emission Particle Tracking of Granular Flows

2020 ◽  
Vol 11 (1) ◽  
pp. 367-396 ◽  
Author(s):  
C.R.K. Windows-Yule ◽  
J.P.K. Seville ◽  
A. Ingram ◽  
D.J. Parker
Keyword(s):  
Spatial Resolution ◽  
Particle Tracking ◽  
Three Dimensional ◽  
Granular Flows ◽  
Noninvasive Technique ◽  
Diverse Range ◽  
Industrial Systems ◽  
Positron Emission ◽  
Temporal And Spatial

Positron emission particle tracking (PEPT) is a noninvasive technique capable of imaging the three-dimensional dynamics of a wide variety of powders, particles, grains, and/or fluids. The PEPT technique can track the motion of particles with high temporal and spatial resolution and can be used to study various phenomena in systems spanning a broad range of scales, geometries, and physical states. We provide an introduction to the PEPT technique, an overview of its fundamental principles and operation, and a brief review of its application to a diverse range of scientific and industrial systems.

On Improving Temporal and Spatial Resolution of 3D Contrast-enhanced Body MR Angiography with Parallel Imaging

Radiology ◽  
2004 ◽  
Vol 231 (3) ◽  
pp. 893-899 ◽  
Author(s):  
Qun Chen ◽  
Carla V. Quijano ◽  
Vu M. Mai ◽  
Saravanan K. Krishnamoorthy ◽  
Wei Li ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Mr Angiography ◽  
Parallel Imaging ◽  
Contrast Enhanced ◽  
Temporal And Spatial

Python-Based Supercell Tracking for Coarse Temporal and Spatial Resolution Numerical Model Simulations

2021 ◽  
Author(s):  
Matthew E. Gropp ◽  
Casey E. Davenport
Keyword(s):  
Open Source ◽  
Spatial Resolution ◽  
Climate Model ◽  
Regional Climate ◽  
Three Dimensional ◽  
Model Verification ◽  
Tracking Algorithm ◽  
Data Availability ◽  
Source Tracking ◽  
Temporal And Spatial

AbstractDeep convective thunderstorm tracking methodologies and software have become useful and necessary tools across many applications, from nowcasting to model verification. Despite many available options, many of these pre-existing methods lack a customizable, fast, and flexible methodology that can track supercell thunderstorms within convective-allowing climate datasets with coarse temporal and spatial resolution. This project serves as one option to solve this issue via an all-in-one tracking methodology, built upon several open-source Python libraries, and designed to work with various temporal resolutions, including hourly. Unique to this approach is accounting for varying data availability of different model variables, while still sufficiently and accurately tracking specific convective features; in this case, supercells were the focus. To help distinguish supercells from ordinary cells, updraft helicity and other three-dimensional atmospheric data were incorporated into the tracking algorithm to confirm its supercellular status. Deviant motion from the mean wind was also used identify supercells. The tracking algorithm was tested and performed on a dynamically-downscaled regional climate model dataset with 4 km horizontal grid spacing. Each supercell was tracked for its entire lifetime over the course of 26 years of model output, resulting in a supercell climatology over the central United States. Due to the tracking configuration and dataset used, the tracking performs most consistently for long-lived and strong supercells compared to weak and short-lived supercells. This tracking methodology allows for customizable open-source tracking of supercells in any downscaled convective-allowing dataset, even with coarse temporal resolution.

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