Arterial Input Function Calculation in Dynamic Contrast-enhanced MRI: an in Vivo Validation Study Using Co-registered Contrast-enhanced Ultrasound Imaging
Overview
Affiliations
Objectives: Developing a method of separating intravascular contrast agent concentration to measure the arterial input function (AIF) in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of tumours, and validating its performance in phantom and in vivo experiments.
Methods: A tissue-mimicking phantom was constructed to model leaky tumour vasculature and DCE-MR images of this phantom were acquired. An in vivo study was performed using tumour-bearing rabbits. Co-registered DCE-MRI and contrast-enhanced ultrasound (CEUS) images were acquired. An independent component analysis (ICA)-based method was developed to separate the intravascular component from DCE-MRI. Results were validated by comparing the time-intensity curves with the actual phantom and in vivo curves.
Results: Phantom study: the AIF extracted using ICA correlated well with the true intravascular curve. In vivo study: the AIFs extracted from DCE-MRI using ICA were very close to the true AIF. Intravascular component images were very similar to the CEUS images. The contrast onset times and initial wash-in slope of the ICA-derived AIF showed good agreement with the CEUS curves.
Conclusion: ICA has the potential to separate the intravascular component from DCE-MRI. This could eliminate the requirement for contrast medium uptake measurements in a major artery and potentially result in more accurate pharmacokinetic parameters.
Key Points: • Tumour response to therapy can be inferred from pharmacokinetic parameters. • Arterial input function (AIF) is required for pharmacokinetic modelling of tumours. • Independent component analysis has the potential to measure AIF inside the tumour. • AIF measurement is validated using contrast enhanced ultrasound and phantoms.
Wong K, Panek R, Bhide S, Nutting C, Harrington K, Newbold K Br J Radiol. 2017; 90(1071):20160768.
PMID: 28256151 PMC: 5601510. DOI: 10.1259/bjr.20160768.
Huang W, Chen Y, Fedorov A, Li X, Jajamovich G, Malyarenko D Tomography. 2016; 2(1):56-66.
PMID: 27200418 PMC: 4869732. DOI: 10.18383/j.tom.2015.00184.
Fedorov A, Fluckiger J, Ayers G, Li X, Gupta S, Tempany C Magn Reson Imaging. 2014; 32(4):321-9.
PMID: 24560287 PMC: 3965600. DOI: 10.1016/j.mri.2014.01.004.