Parameter estimations for cerebrospinal fluid infusion test

We consider a single compartment model for a cerebrospinal fluid infusion test using first, an inverse power law cerebral compliance with constant elastance and second, a more recently developed compliance model with elastance depending on intracranial pressure (ICP). A least squares optimisation is...

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Main Authors: Eisentraeger, A, Sobey, I, Czosnyka, M
Format: Report
Published: Unspecified 2011
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author Eisentraeger, A
Sobey, I
Czosnyka, M
author_facet Eisentraeger, A
Sobey, I
Czosnyka, M
author_sort Eisentraeger, A
collection OXFORD
description We consider a single compartment model for a cerebrospinal fluid infusion test using first, an inverse power law cerebral compliance with constant elastance and second, a more recently developed compliance model with elastance depending on intracranial pressure (ICP). A least squares optimisation is used to solve the inverse problem of estimating parameter values from ICP observed during an infusion test. The optimisation is applied to synthetic data and to clinical ICP data from eleven infusion tests. From consideration of synthetic data we show that it is not, in general, possible to distinguish between compliance models and attempting to extract parameter estimates for an extended compliance model is not well posed with different parameter sets having ICP time dependence that cannot be distinguished using current ICP measurements. This conclusion is also confirmed in examination of clinical data.
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spelling oxford-uuid:8da03d64-ffa0-4210-ab64-4990be0cecd92022-03-26T22:52:25ZParameter estimations for cerebrospinal fluid infusion testReporthttp://purl.org/coar/resource_type/c_93fcuuid:8da03d64-ffa0-4210-ab64-4990be0cecd9Mathematical Institute - ePrintsUnspecified2011Eisentraeger, ASobey, ICzosnyka, MWe consider a single compartment model for a cerebrospinal fluid infusion test using first, an inverse power law cerebral compliance with constant elastance and second, a more recently developed compliance model with elastance depending on intracranial pressure (ICP). A least squares optimisation is used to solve the inverse problem of estimating parameter values from ICP observed during an infusion test. The optimisation is applied to synthetic data and to clinical ICP data from eleven infusion tests. From consideration of synthetic data we show that it is not, in general, possible to distinguish between compliance models and attempting to extract parameter estimates for an extended compliance model is not well posed with different parameter sets having ICP time dependence that cannot be distinguished using current ICP measurements. This conclusion is also confirmed in examination of clinical data.
spellingShingle Eisentraeger, A
Sobey, I
Czosnyka, M
Parameter estimations for cerebrospinal fluid infusion test
title Parameter estimations for cerebrospinal fluid infusion test
title_full Parameter estimations for cerebrospinal fluid infusion test
title_fullStr Parameter estimations for cerebrospinal fluid infusion test
title_full_unstemmed Parameter estimations for cerebrospinal fluid infusion test
title_short Parameter estimations for cerebrospinal fluid infusion test
title_sort parameter estimations for cerebrospinal fluid infusion test
work_keys_str_mv AT eisentraegera parameterestimationsforcerebrospinalfluidinfusiontest
AT sobeyi parameterestimationsforcerebrospinalfluidinfusiontest
AT czosnykam parameterestimationsforcerebrospinalfluidinfusiontest