Model-based deconvolution for DSC-MRI: A comparison of accuracy, precision, and computational complexity of parametric transit time distributions
biorxiv(2023)
摘要
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.
### Competing Interest Statement
The authors have declared no competing interest.
* AIF
: Arterial input function
ANOVA
: Analysis of variance
AU
: Arbitrary units
AUC
: Area under the curve
AV
: Arterial voxel
CBF
: Cerebral blood flow
CBV
: Cerebral blood volume
CSF
: Cerebrospinal fluid
CTC
: Concentration time curve
DCE-MRI
: Dynamic contrast-enhanced-MRI
DSC-MRI
: Dynamic susceptibility-contrast-MRI
FM
: First moment
FWHM
: Full width at half maximum
GBCA
: Gadolinium-based contrast agent
GRE
: Gradient recalled echo
MTT
: Mean transit time
RI
: Roughness index
RMSE
: Rootmean-square error
ROI
: Region of interest
SD
: Standard deviation
SNR
: Signal to noise ratio
SPSS
: Statistical package for the social sciences
STC
: Signal time curve/course
SVD
: Singular value decomposition
TTD
: Transit time distribution.
更多查看译文
关键词
deconvolution,model-based,dsc-mri
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要