Model-based deconvolution for DSC-MRI: A comparison of accuracy, precision, and computational complexity of parametric transit time distributions
bioRxiv (Cold Spring Harbor Laboratory)
Abstract
Abstract Object Dynamic susceptibility contrast MRI (DSC-MRI) is the current standard for cerebral perfusion estimation. Model-dependent approaches for DSC-MRI analysis involve assuming a parametric transit time distribution (TTD) to characterize the passage of contrast agent through tissue microvasculature. Here we compare the utility of four TTD models: namely, skewed-Gaussian, gamma, gamma-variate, and Weibull, to identify the optimal TTD for quantifying brain perfusion. Materials and Methods DSC-MRI data were acquired in nine subjects at 1.5T, and normal-appearing white- and gray-matter signals were assessed. TTDs were compared in terms of: goodness-of-fit, evaluated using RMSE; noise sensitivity, assessed via Monte-Carlo-simulated noisy conditions; and fit stability, quantified as the proportion of total fits converging to the global minimum. Computation times for model-fitting were also calculated. Results The gamma TTD showed higher fit stability, shorter computation times ( p <0.008), and higher robustness against experimental noise as compared to other models. All functions showed similar RMSEs and the parameter estimates ( p >0.008) were congruent with literature values. Discussion The gamma distribution represents the most suitable TTD for perfusion analysis. Moreover, due to its robustness against noise, the gamma TTD is expected to yield more reproducible estimates than the other models for establishing a standard, multi-center analysis pipeline.
Authors 4
-
Rashed Sobhan corresponding
Affiliation as printed
Norwich Medical School, University of East Anglia, Norwich, UK
-
Norfolk and Norwich University Hospital
Affiliation as printed
Oncology Department, Norfolk and Norwich University Hospital, Norwich, UK
-
Affiliation as printed
Norwich Medical School, University of East Anglia, Norwich, UK
-
Donnie Cameron Aachen C. J. Gorter Center for High Field MRI Department of Radiology, Leiden University Medical Center
University of East Anglia · Leiden University · Leiden University Medical Center
Affiliation as printed
C.J. Gorter Centre for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
Norwich Medical School, University of East Anglia, Norwich, UK
Cited by 1 stored of 1
1 result
No patents citing this paper on Lens.org (checked 2026-10-11).