Comparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement.

2.50
Hdl Handle:
http://hdl.handle.net/10541/72785
Title:
Comparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement.
Authors:
Buonaccorsi, Giovanni A; Roberts, Caleb; Cheung, Susan; Watson, Yvonne; O'Connor, James P B; Davies, Karen; Jackson, Alan; Jayson, Gordon C ( 0000-0002-8515-8944 ) ; Parker, Geoff J M
Abstract:
RATIONALE AND OBJECTIVES: The quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data is subject to model fitting errors caused by motion during the time-series data acquisition. However, the time-varying features that occur as a result of contrast enhancement can confound motion correction techniques based on conventional registration similarity measures. We have therefore developed a heuristic, locally controlled tracer kinetic model-driven registration procedure, in which the model accounts for contrast enhancement, and applied it to the registration of abdominal DCE-MRI data at high temporal resolution. MATERIALS AND METHODS: Using severely motion-corrupted data sets that had been excluded from analysis in a clinical trial of an antiangiogenic agent, we compared the results obtained when using different models to drive the tracer kinetic model-driven registration with those obtained when using a conventional registration against the time series mean image volume. RESULTS: Using tracer kinetic model-driven registration, it was possible to improve model fitting by reducing the sum of squared errors but the improvement was only realized when using a model that adequately described the features of the time series data. The registration against the time series mean significantly distorted the time series data, as did tracer kinetic model-driven registration using a simpler model of contrast enhancement. CONCLUSION: When an appropriate model is used, tracer kinetic model-driven registration influences motion-corrupted model fit parameter estimates and provides significant improvements in localization in three-dimensional parameter maps. This has positive implications for the use of quantitative DCE-MRI for example in clinical trials of antiangiogenic or antivascular agents.
Affiliation:
Department of Imaging Science and Biomedical Engineering, Stopford Building, Oxford Road, University of Manchester, and Cancer Research UK Department of Medical Oncology, Christie Hospital NHS Trust, UK. giob@manchester.ac.uk
Citation:
Comparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement. 2006, 13 (9):1112-23 Acad Radiol
Journal:
Academic Radiology
Issue Date:
Sep-2006
URI:
http://hdl.handle.net/10541/72785
DOI:
10.1016/j.acra.2006.05.016
PubMed ID:
16935723
Type:
Article
Language:
en
ISSN:
1076-6332
Appears in Collections:
All Christie Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorBuonaccorsi, Giovanni A-
dc.contributor.authorRoberts, Caleb-
dc.contributor.authorCheung, Susan-
dc.contributor.authorWatson, Yvonne-
dc.contributor.authorO'Connor, James P B-
dc.contributor.authorDavies, Karen-
dc.contributor.authorJackson, Alan-
dc.contributor.authorJayson, Gordon C-
dc.contributor.authorParker, Geoff J M-
dc.date.accessioned2009-07-07T15:04:57Z-
dc.date.available2009-07-07T15:04:57Z-
dc.date.issued2006-09-
dc.identifier.citationComparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement. 2006, 13 (9):1112-23 Acad Radiolen
dc.identifier.issn1076-6332-
dc.identifier.pmid16935723-
dc.identifier.doi10.1016/j.acra.2006.05.016-
dc.identifier.urihttp://hdl.handle.net/10541/72785-
dc.description.abstractRATIONALE AND OBJECTIVES: The quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data is subject to model fitting errors caused by motion during the time-series data acquisition. However, the time-varying features that occur as a result of contrast enhancement can confound motion correction techniques based on conventional registration similarity measures. We have therefore developed a heuristic, locally controlled tracer kinetic model-driven registration procedure, in which the model accounts for contrast enhancement, and applied it to the registration of abdominal DCE-MRI data at high temporal resolution. MATERIALS AND METHODS: Using severely motion-corrupted data sets that had been excluded from analysis in a clinical trial of an antiangiogenic agent, we compared the results obtained when using different models to drive the tracer kinetic model-driven registration with those obtained when using a conventional registration against the time series mean image volume. RESULTS: Using tracer kinetic model-driven registration, it was possible to improve model fitting by reducing the sum of squared errors but the improvement was only realized when using a model that adequately described the features of the time series data. The registration against the time series mean significantly distorted the time series data, as did tracer kinetic model-driven registration using a simpler model of contrast enhancement. CONCLUSION: When an appropriate model is used, tracer kinetic model-driven registration influences motion-corrupted model fit parameter estimates and provides significant improvements in localization in three-dimensional parameter maps. This has positive implications for the use of quantitative DCE-MRI for example in clinical trials of antiangiogenic or antivascular agents.en
dc.language.isoenen
dc.subjectAbdominal Canceren
dc.subject.meshAbdominal Neoplasms-
dc.subject.meshAlgorithms-
dc.subject.meshArtificial Intelligence-
dc.subject.meshComputer Simulation-
dc.subject.meshContrast Media-
dc.subject.meshHumans-
dc.subject.meshImage Enhancement-
dc.subject.meshImage Interpretation, Computer-Assisted-
dc.subject.meshKinetics-
dc.subject.meshMagnetic Resonance Imaging-
dc.subject.meshMetabolic Clearance Rate-
dc.subject.meshModels, Biological-
dc.subject.meshPattern Recognition, Automated-
dc.subject.meshReproducibility of Results-
dc.subject.meshSensitivity and Specificity-
dc.titleComparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement.en
dc.typeArticleen
dc.contributor.departmentDepartment of Imaging Science and Biomedical Engineering, Stopford Building, Oxford Road, University of Manchester, and Cancer Research UK Department of Medical Oncology, Christie Hospital NHS Trust, UK. giob@manchester.ac.uken
dc.identifier.journalAcademic Radiologyen

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