Robust 3D Bloch‐Siegert based B1+ mapping using multi‐echo general linear modeling
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27851
Abstract: Quantitative MRI applications, such as mapping the T1 time of tissue, puts high demands on the accuracy and precision of transmit field ( B1+ ) estimation. A candidate approach to satisfy these requirements exploits the… read more here.
Keywords: robust bloch; using multi; mapping using; siegert based ... See more keywords
Whole‐heart T1 mapping using a 2D fat image navigator for respiratory motion compensation
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27919
Abstract: To combine a 3D saturation‐recovery‐based myocardial T1 mapping (3D SASHA) sequence with a 2D image navigator with fat excitation (fat‐iNAV) to allow 3D T1 maps with 100% respiratory scan efficiency and predictable scan time. read more here.
Keywords: image; whole heart; image navigator; mapping using ... See more keywords
Rapid 3D absolute B1 + mapping using a sandwiched train presaturated TurboFLASH sequence at 7 T for the brain and heart
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29497
Abstract: To shorten the acquisition time of magnetization‐prepared absolute transmit field (B1+) mapping known as presaturation TurboFLASH, or satTFL, to enable single breath‐hold whole‐heart 3D B1+ mapping. read more here.
Keywords: using sandwiched; turboflash; absolute mapping; heart ... See more keywords
Landslide Susceptibility Mapping Using Fuzzy-AHP
Sign Up to like & getrecommendations! Published in 2018 at "Geotechnical and Geological Engineering"
DOI: 10.1007/s10706-018-0583-y
Abstract: Landslides are as the movement of soil on slopes that they are one of the most common natural hazards in many mountainous areas. Landslides are recognized as an important natural hazard in many countries. So… read more here.
Keywords: susceptibility; fuzzy ahp; mapping using; susceptibility mapping ... See more keywords
Accurate and robust systolic myocardial T1 mapping using saturation recovery with individualized delay time: comparison with diastolic T1 mapping
Sign Up to like & getrecommendations! Published in 2018 at "Radiological Physics and Technology"
DOI: 10.1007/s12194-018-0478-x
Abstract: T1 mapping data are generally acquired in patients’ diastolic phase, wherein their myocardium is the thinnest in the cardiac cycle. However, the analysis of the thin myocardium may cause errors in image registrations and settings… read more here.
Keywords: using saturation; mapping; recovery individualized; saturation recovery ... See more keywords
An optimized object-based analysis for vegetation mapping using integration of Quickbird and Sentinel-1 data
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-018-3632-1
Abstract: This study proposed a workflow for an optimized object-based analysis for vegetation mapping using integration of Quickbird and Sentinel-1 data. The method is validated on a set of data captured over a part of Selangor… read more here.
Keywords: analysis vegetation; object based; mapping using; vegetation mapping ... See more keywords
In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.104005
Abstract: BACKGROUND Pace-mapping is a commonly used electrophysiological (EP) procedure which aims to identify exit sites of ventricular tachycardia (VT) by matching ventricular activation patterns (assessed by QRS morphology) at specific pacing locations with activation during… read more here.
Keywords: pace mapping; pace; silico pace; mapping using ... See more keywords
Real Time HABs Mapping Using NASA Glenn Hyperspectral Imager.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Great Lakes research"
DOI: 10.1016/j.jglr.2019.02.007
Abstract: The hyperspectral imaging system (HSI) developed by the NASA Glenn Research Center was used from 2015-2017 to collect high spatial resolution data over Lake Erie and the Ohio River. Paired with a vicarious correction approach… read more here.
Keywords: time; time habs; real time; mapping using ... See more keywords
Turbulent energy mapping using Delft3D on the Ebrié lagoon in Ivory Coast – Abidjan
Sign Up to like & getrecommendations! Published in 2021 at "Regional Studies in Marine Science"
DOI: 10.1016/j.rsma.2021.101614
Abstract: Abstract The flow module of the Delft3D model is used to investigate the hydrodynamics of the flow at Ebrie Lagoon. The simulations are carried out for both the flood and low water conditions along the… read more here.
Keywords: lagoon; mapping using; energy; energy mapping ... See more keywords
Subcortical Mapping Using an Electrified Cavitron UltraSonic Aspirator in Pediatric Supratentorial Surgery.
Sign Up to like & getrecommendations! Published in 2017 at "World neurosurgery"
DOI: 10.1016/j.wneu.2017.02.023
Abstract: BACKGROUND Intraoperative electrophysiology is increasingly used for various lesion resections, both in adult and pediatric brain surgery. Subcortical mapping is often used in adult surgery when lesions lie in proximity to the corticospinal tract (CST).… read more here.
Keywords: surgery; mapping; electrified cavitron; subcortical mapping ... See more keywords
Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada
Sign Up to like & getrecommendations! Published in 2021 at "Canadian Journal of Remote Sensing"
DOI: 10.1080/07038992.2021.1901562
Abstract: Abstract Due to the advent of powerful parallel processing tools, including modern Graphics Processing Units (GPU), new deep learning algorithms, such as Convolutional Neural Networks (CNNs), have significantly altered the state-of-the-art algorithms in satellite classification… read more here.
Keywords: wetland; neural networks; deep convolutional; convolutional neural ... See more keywords