Rosalind Sadleir
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View article: Next generation developments in electrical impedance tomography (EIT)
Next generation developments in electrical impedance tomography (EIT) Open
View article: Comparison of modelled diffusion-derived electrical conductivities found using magnetic resonance imaging
Comparison of modelled diffusion-derived electrical conductivities found using magnetic resonance imaging Open
Introduction Magnetic resonance-based electrical conductivity imaging offers a promising new contrast mechanism to enhance disease diagnosis. Conductivity tensor imaging (CTI) combines data from MR diffusion microstructure imaging to recon…
View article: Validation of conductivity tensor imaging against diffusion tensor magnetic resonance electrical impedance tomography
Validation of conductivity tensor imaging against diffusion tensor magnetic resonance electrical impedance tomography Open
Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) and electrodeless conductivity tensor imaging (CTI) are two emerging modalities that can quantify low-frequency tissue anisotropic conductivity properties by as…
View article: Progress in electrical impedance tomography and bioimpedance
Progress in electrical impedance tomography and bioimpedance Open
Scope. This focus collection aims at presenting recent advances in electrical impedance tomography (EIT), including algorithms, hardware, and clinical applications.Editorial. This focus collection of articles published by the…
View article: A deep neural network for a hemiarray EIT system
A deep neural network for a hemiarray EIT system Open
Electrical Impedance Tomography (EIT) can map electrical property distributions within the body using a surface electrode array. EIT systems using a circumferential array applied to the abdomen can be used to monitor acute intra-abdominal …
View article: Analytic modeling of neural tissue: II. Nonlinear membrane dynamics
Analytic modeling of neural tissue: II. Nonlinear membrane dynamics Open
Computational modeling of neuroactivity plays a central role in our effort to understand brain dynamics in the advancements of neural engineering such as deep brain stimulation, neuroprosthetics, and magnetic resonance electrical impedance…
View article: Convergence analysis of the harmonic $B_z$ algorithm with single injection current in MREIT
Convergence analysis of the harmonic $B_z$ algorithm with single injection current in MREIT Open
Magnetic resonance electrical impedance tomography (MREIT) aims to recover the electrical conductivity distribution of an object using partial information of magnetic flux densities inside the tissue which can be measured using an MRI scan…
View article: Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration—A machine learning approach
Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration—A machine learning approach Open
Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) is a newly developed technique that combines MR-based measurements of magnetic flux density with diffusion tensor MRI (DT-MRI) data to reconstruct electrical co…
View article: Replication Data for: Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration
Replication Data for: Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration Open
Supporting Information for Publication. Dataset contains information necessary to replicate findings.
View article: Low frequency conductivity reconstruction based on a single current injection via MREIT
Low frequency conductivity reconstruction based on a single current injection via MREIT Open
Conventional magnetic resonance electrical impedance tomography (MREIT) reconstruction methods require administration of two linearly independent currents via at least two electrode pairs. This requires long scanning times and inhibits coo…
View article: Development and testing of implanted carbon electrodes for electromagnetic field mapping during neuromodulation
Development and testing of implanted carbon electrodes for electromagnetic field mapping during neuromodulation Open
Purpose Deep brain stimulation electrodes composed of carbon fibers were tested as a means of administering and imaging magnetic resonance electrical impedance tomography (MREIT) currents. Artifacts and heating properties of custom carbon‐…
View article: Benchmarking transcranial electrical stimulation finite element models: a comparison study
Benchmarking transcranial electrical stimulation finite element models: a comparison study Open
Apparently equivalent boundary settings may affect predicted current density outcomes and care must be taken in their specification. Smoothing FE model compartments may not be necessary, and directly translated, voxellated tissue boundarie…
View article: Methods to Compare Predicted and Observed Phosphene Experience in tACS Subjects
Methods to Compare Predicted and Observed Phosphene Experience in tACS Subjects Open
Background . Phosphene generation is an objective physical measure of potential transcranial alternating current stimulation (tACS) biological side effects. Interpretations from phosphene analysis can serve as a first step in understanding…
View article: Analytic modeling of conductively anisotropic neural tissue
Analytic modeling of conductively anisotropic neural tissue Open
The abdominal ganglion of the Aplysia californica is an established in vitro model for studying neuroelectric behavior in the presence of an applied electrical current and recently used in studies of magnetic resonance electrical impedance…
View article: The effect of potassium chloride on<i>Aplysia Californica</i>abdominal ganglion activity
The effect of potassium chloride on<i>Aplysia Californica</i>abdominal ganglion activity Open
KCl can be used as a reversible neural modulator for testing neural detection methods.
View article: Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT
Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT Open
We sought to improve efficiency of magnetic resonance electrical impedance tomography data acquisition so that fast conductivity changes or electric field variations could be monitored. Undersampling of k-space was used to decrease acquisi…
View article: Low-Frequency Conductivity Tensor Imaging of the Human Head <italic>In Vivo</italic> Using DT-MREIT: First Study
Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study Open
We present the first in vivo images of anisotropic conductivity distribution in the human head, measured at a frequency of approximately 10 Hz. We used magnetic resonance electrical impedance tomography techniques to encode phase changes c…
View article: Direct detection of neural activity in vitro using magnetic resonance electrical impedance tomography (MREIT)
Direct detection of neural activity in vitro using magnetic resonance electrical impedance tomography (MREIT) Open
View article: Imaging of current flow in the human head during transcranial electrical therapy
Imaging of current flow in the human head during transcranial electrical therapy Open
View article: Multishot echo‐planar MREIT for fast imaging of conductivity, current density, and electric field distributions
Multishot echo‐planar MREIT for fast imaging of conductivity, current density, and electric field distributions Open
Purpose Magnetic resonance electrical impedance tomography (MREIT) sequences typically use conventional spin or gradient echo–based acquisition methods for reconstruction of conductivity and current density maps. Use of MREIT in functional…
View article: Changing head model extent affects finite element predictions of transcranial direct current stimulation distributions
Changing head model extent affects finite element predictions of transcranial direct current stimulation distributions Open
This finding suggested that the bone could act as a bioelectricity boundary and thus performing FE simulations of tDCS on the human head with models extending beyond the inferior skull may not be necessary in most cases to obtain reasonabl…
View article: Analytic Modeling of Neural Tissue: I. A Spherical Bidomain
Analytic Modeling of Neural Tissue: I. A Spherical Bidomain Open
View article: Projected current density comparison in tDCS block and smooth FE modeling
Projected current density comparison in tDCS block and smooth FE modeling Open
Current density distribution and projected current density calculation following transcranial direct current stimulation (tDCS) forward model in a human head were compared between two modeling pipelines: block and smooth. Block model was d…
View article: <i>In vivo</i>quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array
<i>In vivo</i>quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array Open
Intraventricular hemorrhage (IVH) is a common occurrence in the days immediately after premature birth. It has been correlated with outcomes such as periventricular leukomalacia (PVL), cerebral palsy and developmental delay. The causes and…
View article: Analysis of bipolar external excitation of spherical tissue by spatially opposed current source and sink points
Analysis of bipolar external excitation of spherical tissue by spatially opposed current source and sink points Open
The recently increasing role in medical imaging that electrophysiology plays has spurned the need for its quantitative analysis at all scales-ions, cells, tissues, organs, etc.; so, here is presented a model of nerve tissue in a spherical …
View article: External current application in a bidomain model of active neural tissue
External current application in a bidomain model of active neural tissue Open
The formal treatment of tissue as two coupled continua is referred to as a bidomain model. Bidomain models have recently been used to describe the properties of neural tissue and nerve fiber bundles [1, 2]. By adapting the Hodgkin Huxley e…
View article: A comparison between block and smooth modeling in finite element simulations of tDCS
A comparison between block and smooth modeling in finite element simulations of tDCS Open
Current density distributions in five selected structures, namely, anterior superior temporal gyrus (ASTG), hippocampus (HIP), inferior frontal gyrus (IFG), occipital lobe (OCC) and pre-central gyrus (PRC) were investigated as part of a co…