Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach. Wei, H., Zheng, Y., Pan, Y., Coca, D., Li, L., Mayhew, J. E. W., & Billings, S. A. Biomedical Engineering, IEEE Transactions on, 56(6):1606--1616, 2009. abstract bibtex It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and accurate modeling of the hemodynamic relationship between CBF and CBV becomes increasingly important. This study presents an empirical and data-based modeling framework for model identification from CBF and CBV experimental data. It is shown that the relationship between the changes in CBF and CBV can be described using a parsimonious autoregressive with exogenous input model structure. It is observed that neither the ordinary least-squares (LS) method nor the classical total least-squares (TLS) method can produce accurate estimates from the original noisy CBF and CBV data. A regularized total least-squares (RTLS) method is thus introduced and extended to solve such an error-in-the-variables problem. Quantitative results show that the RTLS method works very well on the noisy CBF and CBV data. Finally, a combination of RTLS with a filtering method can lead to a parsimonious but very effective model that can characterize the relationship between the changes in CBF and CBV.
@article{wei_model_2009,
title = {Model {Estimation} of {Cerebral} {Hemodynamics} {Between} {Blood} {Flow} and {Volume} {Changes}: {A} {Data}-{Based} {Modeling} {Approach}},
volume = {56},
issn = {0018-9294},
shorttitle = {Model {Estimation} of {Cerebral} {Hemodynamics} {Between} {Blood} {Flow} and {Volume} {Changes}},
abstract = {It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and accurate modeling of the hemodynamic relationship between CBF and CBV becomes increasingly important. This study presents an empirical and data-based modeling framework for model identification from CBF and CBV experimental data. It is shown that the relationship between the changes in CBF and CBV can be described using a parsimonious autoregressive with exogenous input model structure. It is observed that neither the ordinary least-squares (LS) method nor the classical total least-squares (TLS) method can produce accurate estimates from the original noisy CBF and CBV data. A regularized total least-squares (RTLS) method is thus introduced and extended to solve such an error-in-the-variables problem. Quantitative results show that the RTLS method works very well on the noisy CBF and CBV data. Finally, a combination of RTLS with a filtering method can lead to a parsimonious but very effective model that can characterize the relationship between the changes in CBF and CBV.},
number = {6},
journal = {Biomedical Engineering, IEEE Transactions on},
author = {Wei, H.-L. and Zheng, Y. and Pan, Y. and Coca, D. and Li, L.-M. and Mayhew, J. E. W. and Billings, S. A.},
year = {2009},
keywords = {theory, CBF, BOLD, balloonmodel, CBV, analysis},
pages = {1606--1616},
file = {wei2009.pdf:/Users/nickb/Zotero/storage/2E6GG8PA/wei2009.pdf:application/pdf}
}
Downloads: 0
{"_id":"786as2n9fpTgGhuou","bibbaseid":"wei-zheng-pan-coca-li-mayhew-billings-modelestimationofcerebralhemodynamicsbetweenbloodflowandvolumechangesadatabasedmodelingapproach-2009","downloads":0,"creationDate":"2017-07-20T09:27:29.856Z","title":"Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach","author_short":["Wei, H.","Zheng, Y.","Pan, Y.","Coca, D.","Li, L.","Mayhew, J. E. W.","Billings, S. A."],"year":2009,"bibtype":"article","biburl":"https://users.fmrib.ox.ac.uk/~nickb/ExportedItemsLge.bib","bibdata":{"bibtype":"article","type":"article","title":"Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach","volume":"56","issn":"0018-9294","shorttitle":"Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes","abstract":"It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and accurate modeling of the hemodynamic relationship between CBF and CBV becomes increasingly important. This study presents an empirical and data-based modeling framework for model identification from CBF and CBV experimental data. It is shown that the relationship between the changes in CBF and CBV can be described using a parsimonious autoregressive with exogenous input model structure. It is observed that neither the ordinary least-squares (LS) method nor the classical total least-squares (TLS) method can produce accurate estimates from the original noisy CBF and CBV data. A regularized total least-squares (RTLS) method is thus introduced and extended to solve such an error-in-the-variables problem. Quantitative results show that the RTLS method works very well on the noisy CBF and CBV data. Finally, a combination of RTLS with a filtering method can lead to a parsimonious but very effective model that can characterize the relationship between the changes in CBF and CBV.","number":"6","journal":"Biomedical Engineering, IEEE Transactions on","author":[{"propositions":[],"lastnames":["Wei"],"firstnames":["H.-L."],"suffixes":[]},{"propositions":[],"lastnames":["Zheng"],"firstnames":["Y."],"suffixes":[]},{"propositions":[],"lastnames":["Pan"],"firstnames":["Y."],"suffixes":[]},{"propositions":[],"lastnames":["Coca"],"firstnames":["D."],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["L.-M."],"suffixes":[]},{"propositions":[],"lastnames":["Mayhew"],"firstnames":["J.","E.","W."],"suffixes":[]},{"propositions":[],"lastnames":["Billings"],"firstnames":["S.","A."],"suffixes":[]}],"year":"2009","keywords":"theory, CBF, BOLD, balloonmodel, CBV, analysis","pages":"1606--1616","file":"wei2009.pdf:/Users/nickb/Zotero/storage/2E6GG8PA/wei2009.pdf:application/pdf","bibtex":"@article{wei_model_2009,\n\ttitle = {Model {Estimation} of {Cerebral} {Hemodynamics} {Between} {Blood} {Flow} and {Volume} {Changes}: {A} {Data}-{Based} {Modeling} {Approach}},\n\tvolume = {56},\n\tissn = {0018-9294},\n\tshorttitle = {Model {Estimation} of {Cerebral} {Hemodynamics} {Between} {Blood} {Flow} and {Volume} {Changes}},\n\tabstract = {It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and accurate modeling of the hemodynamic relationship between CBF and CBV becomes increasingly important. This study presents an empirical and data-based modeling framework for model identification from CBF and CBV experimental data. It is shown that the relationship between the changes in CBF and CBV can be described using a parsimonious autoregressive with exogenous input model structure. It is observed that neither the ordinary least-squares (LS) method nor the classical total least-squares (TLS) method can produce accurate estimates from the original noisy CBF and CBV data. A regularized total least-squares (RTLS) method is thus introduced and extended to solve such an error-in-the-variables problem. Quantitative results show that the RTLS method works very well on the noisy CBF and CBV data. Finally, a combination of RTLS with a filtering method can lead to a parsimonious but very effective model that can characterize the relationship between the changes in CBF and CBV.},\n\tnumber = {6},\n\tjournal = {Biomedical Engineering, IEEE Transactions on},\n\tauthor = {Wei, H.-L. and Zheng, Y. and Pan, Y. and Coca, D. and Li, L.-M. and Mayhew, J. E. W. and Billings, S. A.},\n\tyear = {2009},\n\tkeywords = {theory, CBF, BOLD, balloonmodel, CBV, analysis},\n\tpages = {1606--1616},\n\tfile = {wei2009.pdf:/Users/nickb/Zotero/storage/2E6GG8PA/wei2009.pdf:application/pdf}\n}\n\n","author_short":["Wei, H.","Zheng, Y.","Pan, Y.","Coca, D.","Li, L.","Mayhew, J. E. W.","Billings, S. A."],"key":"wei_model_2009","id":"wei_model_2009","bibbaseid":"wei-zheng-pan-coca-li-mayhew-billings-modelestimationofcerebralhemodynamicsbetweenbloodflowandvolumechangesadatabasedmodelingapproach-2009","role":"author","urls":{},"keyword":["theory","CBF","BOLD","balloonmodel","CBV","analysis"],"downloads":0,"html":""},"search_terms":["model","estimation","cerebral","hemodynamics","between","blood","flow","volume","changes","data","based","modeling","approach","wei","zheng","pan","coca","li","mayhew","billings"],"keywords":["theory","cbf","bold","balloonmodel","cbv","analysis"],"authorIDs":[],"dataSources":["ZnSCiZ543imjXQzRu"]}