title: Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series.
abstract: Motion during time-series data acquisition causes model-fitting errors in quantitative dynamic contrast-enhanced (DCE) MRI studies. Motion correction techniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling that successfully registers abdominal DCE-MRI data at high temporal resolution and compare this method to a similar approach based on registration to the time series mean image in data from 8 patients. When the registration is driven by an appropriate model, we find significant improvements in model-fitting. Also, model-driven registration influences parameter estimates and reduces repeat study variability in measurements of blood volume.
authors: Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK. giob@manchester.ac.uk
authors: Giovanni A
authors: GA
authors: Buonaccorsi
authors: Caleb
authors: C
authors: Roberts
authors: Sue
authors: S
authors: Cheung
authors: Yvonne
authors: Y
authors: Watson
authors: Karen
authors: K
authors: Davies
authors: Alan
authors: A
authors: Jackson
authors: Gordon C
authors: GC
authors: Jayson
authors: Geoff J M
authors: GJ
authors: Parker