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Erschienen in: Medical & Biological Engineering & Computing 12/2011

01.12.2011 | Original Article

A model for simulation and patient-specific visualization of the tissue volume of influence during brain microdialysis

verfasst von: Elin Diczfalusy, Peter Zsigmond, Nil Dizdar, Anita Kullman, Dan Loyd, Karin Wårdell

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 12/2011

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Abstract

Microdialysis can be used in parallel to deep brain stimulation (DBS) to relate biochemical changes to the clinical outcome. The aim of the study was to use the finite element method to predict the tissue volume of influence (TVImax) and its cross-sectional radius (r TVImax) when using brain microdialysis, and visualize the TVImax in relation to patient anatomy. An equation based on Fick’s law was used to simulate the TVImax. Factorial design and regression analysis were used to investigate the impact of the diffusion coefficient, tortuosity and loss rate on the r TVImax. A calf brain tissue experiment was performed to further evaluate these parameters. The model was implemented with pre-(MRI) and post-(CT) operative patient images for simulation of the TVImax for four patients undergoing microdialysis in parallel to DBS. Using physiologically relevant parameter values, the r TVImax for analytes with a diffusion coefficient D = 7.5 × 10−6 cm2/s was estimated to 0.85 ± 0.25 mm. The simulations showed agreement with experimental data. Due to an implanted gold thread, the catheter positions were visible in the post-operative images. The TVImax was visualized for each catheter. The biochemical changes could thereby be related to their anatomical origin, facilitating interpretation of results.

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Metadaten
Titel
A model for simulation and patient-specific visualization of the tissue volume of influence during brain microdialysis
verfasst von
Elin Diczfalusy
Peter Zsigmond
Nil Dizdar
Anita Kullman
Dan Loyd
Karin Wårdell
Publikationsdatum
01.12.2011
Verlag
Springer-Verlag
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 12/2011
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-011-0841-0

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