Literature DB >> 18215854

Anatomically constrained electrical impedance tomography for anisotropic bodies via a two-step approach.

M Glidewell1, K T Ng.   

Abstract

Discusses the inclusion of anatomical constraints and anisotropy in static Electrical Impedance Tomography (EIT) using a two-step approach to EIT. In the first step, the boundaries between regions of different conductivities are anatomically constrained using Magnetic Resonance Imaging (MRI) data. In the second step, the conductivity values in different regions are determined. Anisotropic conductivity regions are included to allow better modeling of the muscle regions (e.g., skeletal muscle) which exhibit a greater conductivity in the direction parallel to the muscle fiber. This two-step approach is used to reconstruct the conductivity profile of a canine torso, illustrating its potential application in extracting conductivity values for bioelectric modeling.

Entities:  

Year:  1995        PMID: 18215854     DOI: 10.1109/42.414615

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  4 in total

Review 1.  Advances in optical spectroscopy and imaging of breast lesions.

Authors:  Stavros G Demos; Abby J Vogel; Amir H Gandjbakhche
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

2.  A DIRECT RECONSTRUCTION ALGORITHM FOR THE ANISOTROPIC INVERSE CONDUCTIVITY PROBLEM BASED ON CALDERÓN'S METHOD IN THE PLANE.

Authors:  Rashmi Murthy; Yi-Hsuan Lin; Kwancheol Shin; Jennifer L Mueller
Journal:  Inverse Probl       Date:  2020-12-03       Impact factor: 2.407

3.  Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method.

Authors:  Benjamin Schullcke; Bo Gong; Sabine Krueger-Ziolek; Manuchehr Soleimani; Ullrich Mueller-Lisse; Knut Moeller
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

4.  Non-Invasive Electrical Impedance Tomography for Multi-Scale Detection of Liver Fat Content.

Authors:  Yuan Luo; Parinaz Abiri; Shell Zhang; Chih-Chiang Chang; Amir H Kaboodrangi; Rongsong Li; Ashish K Sahib; Alex Bui; Rajesh Kumar; Mary Woo; Zhaoping Li; René R Sevag Packard; Yu-Chong Tai; Tzung K Hsiai
Journal:  Theranostics       Date:  2018-02-08       Impact factor: 11.556

  4 in total

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