Literature DB >> 15005328

Detection of brain oedema using magnetic induction tomography: a feasibility study of the likely sensitivity and detectability.

Robert Merwa1, Karl Hollaus, Biro Oszkar, Hermann Scharfetter.   

Abstract

The detection and continuous monitoring of brain oedema is of particular interest in clinical applications because existing methods (invasive measurement of the intracranial pressure) may cause considerable distress for the patients. A new non-invasive method for continuous monitoring of an oedema promises the use of multi-frequency magnetic induction tomography (MIT). MIT is an imaging method for reconstructing the changes of the conductivity deltakappa in a target object. The sensitivity of a single MIT-channel to a spherical oedematous region was analysed with a realistic model of the human brain. The model considers the cerebrospinal fluid around the brain, the grey matter, the white matter, the ventricle system and an oedema (spherical perturbation). Sensitivity maps were generated for different sizes and positions of the oedema when using a coaxial coil system. The maps show minimum sensitivity along the coil axis, and increasing values when moving the perturbation towards the brain surface. Parallel to the coil axis, however, the sensitivity does not vary significantly. When assuming a standard deviation of 10(-7) for the relative voltage change due to the system's noise, a centrally placed oedema with a conductivity contrast of 2 with respect to the background and a radius of 20 mm can be detected at 100 kHz. At higher frequencies the sensitivity increases considerably, thus suggesting the capability of multi-frequency MIT to detect cerebral oedema.

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Year:  2004        PMID: 15005328     DOI: 10.1088/0967-3334/25/1/038

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  8 in total

1.  Numerical modeling of magnetic induction tomography using the impedance method.

Authors:  Airton Ramos; Julia G B Wolff
Journal:  Med Biol Eng Comput       Date:  2011-01-13       Impact factor: 2.602

2.  Single-step 3-d image reconstruction in magnetic induction tomography: theoretical limits of spatial resolution and contrast to noise ratio.

Authors:  Hermann Scharfetter; Karl Hollaus; Javier Rosell-Ferrer; Robert Merwa
Journal:  Ann Biomed Eng       Date:  2006-10-10       Impact factor: 3.934

3.  Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke.

Authors:  M Zolgharni; P D Ledger; H Griffiths
Journal:  Med Biol Eng Comput       Date:  2009-10-16       Impact factor: 2.602

4.  Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2018-11-09       Impact factor: 3.576

5.  Detection of acute ventilatory problems via magnetic induction in a newborn animal model.

Authors:  Sabrina C Behr; Christopher Platen; Pascal Vetter; Nicole Heussen; Steffen Leonhardt; Thorsten Orlikowsky; Konrad Heimann
Journal:  Pediatr Res       Date:  2021-06-08       Impact factor: 3.953

Review 6.  Advancements in transmitters and sensors for biological tissue imaging in magnetic induction tomography.

Authors:  Zulkarnay Zakaria; Ruzairi Abdul Rahim; Muhammad Saiful Badri Mansor; Sazali Yaacob; Nor Muzakkir Nor Ayub; Siti Zarina Mohd Muji; Mohd Hafiz Fazalul Rahiman; Syed Mustafa Kamal Syed Aman
Journal:  Sensors (Basel)       Date:  2012-05-29       Impact factor: 3.576

7.  Volumetric electromagnetic phase-shift spectroscopy of brain edema and hematoma.

Authors:  Cesar A Gonzalez; Jose A Valencia; Alfredo Mora; Fernando Gonzalez; Beatriz Velasco; Martin A Porras; Javier Salgado; Salvador M Polo; Nidiyare Hevia-Montiel; Sergio Cordero; Boris Rubinsky
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

8.  An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction.

Authors:  Jingbo Chen; Gen Li; Huayou Liang; Shuanglin Zhao; Jian Sun; Mingxin Qin
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

  8 in total

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