Quantification of bolus-tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization.
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Perfusion magnetic resonance imaging: a comprehensive update on principles and techniquesClassic models for dynamic contrast-enhanced MRI.Quantitative cerebral blood flow with bolus tracking perfusion MRI: measurements in porcine model and comparison with H(2)(15)O PET.Modeling the residue function in DSC-MRI simulations: analytical approximation to in vivo data.Discrimination between glioma grades II and III in suspected low-grade gliomas using dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging: a histogram analysis approach.Perfusion measurements by micro-CT using prior image constrained compressed sensing (PICCS): initial phantom results.Reliable estimation of capillary transit time distributions using DSC-MRIA fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.Real-time diffusion-perfusion mismatch analysis in acute stroke.Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.The 39 steps: evading error and deciphering the secrets for accurate dynamic susceptibility contrast MRI.Towards robust deconvolution of low-dose perfusion CT: sparse perfusion deconvolution using online dictionary learning.Dynamic susceptibility contrast MRI with localized arterial input functions.T1- and T2*-dominant extravasation correction in DSC-MRI: part I--theoretical considerations and implications for assessment of tumor hemodynamic properties.Automatic determination of the arterial input function in dynamic susceptibility contrast MRI: comparison of different reproducible clustering algorithms.Will big data yield new mathematics? An evolving synergy with neuroscience.Robust Low-dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization.Physics-driven Spatiotemporal Regularization for High-dimensional Predictive Modeling: A Novel Approach to Solve the Inverse ECG Problem.Revision of the theory of tracer transport and the convolution model of dynamic contrast enhanced magnetic resonance imaging.Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details.Estimating breast tumor blood flow during neoadjuvant chemotherapy using interleaved high temporal and high spatial resolution MRI.A parametric model of the brain vascular system for estimation of the arterial input function (AIF) at the tissue level.Stable spline deconvolution for dynamic susceptibility contrast MRI.Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme.Pseudo-extravasation rate constant of dynamic susceptibility contrast-MRI determined from pharmacokinetic first principles.Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve.Robustness of spatio-temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke.Regularized optimization (RO) reconstruction for oximetric EPR imaging.A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.Assessment of quantitative perfusion parameters by dynamic contrast-enhanced sonography using a deconvolution method: an in vitro and in vivo study.Perfusion quantification by model-free arterial spin labeling using nonlinear stochastic regularization deconvolution.Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI.Quantification of pulmonary microcirculation by dynamic contrast-enhanced magnetic resonance imaging: comparison of four regularization methods.[Dynamic contrast-enhanced computed tomography. Tracer kinetics and radiation hygienic principles].Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade.A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR
P2860
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P2860
Quantification of bolus-tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Quantification of bolus-tracki ...... using Tikhonov regularization.
@en
Quantification of bolus-tracki ...... using Tikhonov regularization.
@nl
type
label
Quantification of bolus-tracki ...... using Tikhonov regularization.
@en
Quantification of bolus-tracki ...... using Tikhonov regularization.
@nl
prefLabel
Quantification of bolus-tracki ...... using Tikhonov regularization.
@en
Quantification of bolus-tracki ...... using Tikhonov regularization.
@nl
P2093
P356
P1476
Quantification of bolus-tracki ...... using Tikhonov regularization.
@en
P2093
Alan Connelly
David G Gadian
Fernando Calamante
P304
P356
10.1002/MRM.10643
P577
2003-12-01T00:00:00Z