The Impact of Anisotropy on the Accuracy of Conductivity Imaging: A Quantitative Validation Study

We present a quantitative validation study to assess the accuracy of low-frequency conductivity imaging methods, based on a testing current measured using Current Density Imaging (CDI). We tested the proposed procedure to study the influence of tissue anisotropy on the accuracy of conductivity reconstruction methods, using a finite element model of anisotropic brain tissue. Simulations were carried out for three different levels of tissue anisotropy to compare the results obtained by our recently developed anisotropic conductivity method with those obtained by our well-established conductivity method that assumes isotropic conductivity. The validation results clearly show that the conductivity imaging method which takes into account tissue anisotropy yields significantly superior accuracy..

Medienart:

Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:36

Enthalten in:

IEEE transactions on medical imaging - 36(2017), 2, Seite 507-517

Sprache:

Englisch

Beteiligte Personen:

Elsaid, Nahla M. H [VerfasserIn]
Nachman, Adrian I [Sonstige Person]
Ma, Weijing [Sonstige Person]
DeMonte, Tim P [Sonstige Person]
Joy, Michael L. G [Sonstige Person]

Links:

Volltext
ieeexplore.ieee.org

BKL:

44.09

Themen:

Anisotropic conductivity
Conductivity
Conductivity imaging
Conductivity measurement
Current density
Density measurement
Finite element modeling
Imaging
MRI
Tensile stress
Validation

RVK:

RVK Klassifikation

doi:

10.1109/TMI.2016.2617873

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC1990934315