Background Field Removal Using a Region Adaptive Kernel for Quantitative Susceptibility Mapping of Human Brain

Journal of Magnetic Resonance - United States
doi 10.1016/j.jmr.2017.05.004
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Correction of Magnetic Field Inhomogeneity Effects for Fast Quantitative Susceptibility Mapping

Magnetic Resonance in Medicine
Nuclear MedicineRadiologyImaging
2019English

Quantitative Susceptibility Mapping for Following Intracranial Hemorrhage

Radiology
Nuclear MedicineRadiologyImaging
2018English

Potential of Quantitative Susceptibility Mapping for Detection of Prostatic Calcifications

Journal of Magnetic Resonance Imaging
Nuclear MedicineRadiologyImaging
2017English

Quantitative Susceptibility Mapping Reveals an Association Between Brain Iron Load and Depression Severity

Frontiers in Human Neuroscience
Mental HealthNeuropsychologyPhysiological PsychologyNeurologyBehavioral NeurosciencePsychiatryBiological Psychiatry
2017English

Quantitative Susceptibility Mapping Suggests a Paramagnetic Effect in PML

Neurology
Neurology
2015English

A New GIS-based Technique Using an Adaptive Neuro-Fuzzy Inference System for Land Subsidence Susceptibility Mapping

Journal of Spatial Science
DevelopmentEnergyPlanningAtmospheric ScienceGeography
2018English

Magnetic Susceptibility Mapping of Brain Tissue in Vivo Using MRI Phase Data

Magnetic Resonance in Medicine
Nuclear MedicineRadiologyImaging
2009English

Quantitative Brain Surface Mapping of an Electrophysiologic/Metabolic Mismatch in Human Neocortical Epilepsy

Epilepsy Research
Neurology
2009English

Stochastic Adaptive Sampling for Mobile Sensor Networks Using Kernel Regression

International Journal of Control, Automation and Systems
ControlSystems EngineeringComputer Science Applications
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy