Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI

Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation

“…Pharmacokinetic models are a common method of extracting quantitative measures of perfusion from the contrast enhancement curves of DCE-MRI volumes ( Tofts et al., 1999 ). However, these measures depend on the selection of the compartment model, which in turn depends on the tissue characteristics, as well as the choice or measurement of an arterial input function ( Irving et al., 2013 ). Tumour heterogeneity means that a single model is rarely appropriate for the whole tumour and surrounding region ( Kallehauge et al., 2014 ).…”

Optimization of two-compartment-exchange-model analysis for dynamic contrast-enhanced mri incorporating bolus arrival time

“…Bolus arrival time (BAT) has been shown to have an impact on the estimated parameters when the analyzed area is distant from the location where the arterial‐input‐function (AIF) was measured . Previous works on dynamic susceptibility contrast MRI (DSC‐MRI) describe the problem of estimating perfusion under bolus delay (referred to here as BAT) and dispersion.…”

“…Bolus arrival time (BAT) has been shown to have an impact on the estimated parameters when the analyzed area is distant from the location where the arterial-input-function (AIF) was measured. [10][11][12] Previous works on dynamic susceptibility contrast MRI (DSC-MRI) [13][14][15] describe the problem of estimating perfusion under bolus delay (referred to here as BAT) and dispersion. A circular deconvolution method was previously proposed, 15 which constructs a block-circulant deconvolution matrix that is time-invariant and reduces the sensitivity of the estimated perfusion parameters to BAT.…”