Multi-modal pharmacokinetic modelling for DCE-MRI: Using diffusion weighted imaging to constrain the local arterial input function

TY - CHAP

T1 - Multi-modal pharmacokinetic modelling for DCE-MRI

T2 - Medical Imaging 2014: Image Processing

AU - Hamy, Valentin

AU - Modat, Marc

AU - Shipley, Rebecca

AU - Dikaios, Nikos

AU - Cleary, Jon

AU - Punwani, Shonit

AU - Ourselin, Sebastien

AU - Atkinson, David

AU - Melbourne, Andrew

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The routine acquisition of multi-modal magnetic resonance imaging data in oncology yields the possibility of combined model fitting of traditionally separate models of tissue structure and function. In this work we hypothesise that diffusion weighted imaging data may help constrain the fitting of pharmacokinetic models to dynamic contrast enhanced (DCE) MRI data. Parameters related to tissue perfusion in the intra-voxel incoherent motion (IVIM) modelling of diffusion weighted MRI provide local information on how tissue is likely to perfuse that can be utilised to guide DCE modelling via local modification of the arterial input function (AIF). In this study we investigate, based on multi-parametric head and neck MRI of 8 subjects (4 with head and neck tumours), the benefit of incorporating parameters derived from the IVIM model within the DCE modelling procedure. Although we find the benefit of this procedure to be marginal on the data used in this work, it is conceivable that a technique of this type will be of greater use in a different application.

AB - The routine acquisition of multi-modal magnetic resonance imaging data in oncology yields the possibility of combined model fitting of traditionally separate models of tissue structure and function. In this work we hypothesise that diffusion weighted imaging data may help constrain the fitting of pharmacokinetic models to dynamic contrast enhanced (DCE) MRI data. Parameters related to tissue perfusion in the intra-voxel incoherent motion (IVIM) modelling of diffusion weighted MRI provide local information on how tissue is likely to perfuse that can be utilised to guide DCE modelling via local modification of the arterial input function (AIF). In this study we investigate, based on multi-parametric head and neck MRI of 8 subjects (4 with head and neck tumours), the benefit of incorporating parameters derived from the IVIM model within the DCE modelling procedure. Although we find the benefit of this procedure to be marginal on the data used in this work, it is conceivable that a technique of this type will be of greater use in a different application.

UR - https://www.scopus.com/pages/publications/84902081183

U2 - 10.1117/12.2042780

DO - 10.1117/12.2042780

M3 - Conference paper

AN - SCOPUS:84902081183

SN - 9780819498274

VL - 9034

BT - Medical Imaging 2014

PB - SPIE

Y2 - 16 February 2014 through 18 February 2014

ER -