Impact of prior distributions and central tendency measures on Bayesian intravoxel incoherent motion model fitting.

Published on Mar 1, 2018in Magnetic Resonance in Medicine4.668
· DOI :10.1002/MRM.26783
Oscar Gustafsson3
Estimated H-index: 3
(University of Gothenburg),
Mikael Montelius6
Estimated H-index: 6
(University of Gothenburg)
+ 1 AuthorsMaria Ljungberg16
Estimated H-index: 16
(University of Gothenburg)
Sources
Abstract
Purpose Bayesian model fitting has been proposed as a robust alternative for intravoxel incoherent motion (IVIM) model-fitting parameter estimation. However, consensus regarding choice of prior distribution and posterior distribution central tendency measure is needed. The aim of this study was to compare the quality of IVIM parameter estimates produced by different prior distributions and central tendency measures, and to gain knowledge about the effect of these choices. Methods Three prior distributions (uniform, reciprocal, and lognormal) and two measures of central tendency (mean and mode) found in the literature were studied using simulations and in vivo data from a tumor mouse model. Results Simulations showed that the uniform and lognormal priors were superior to the reciprocal prior, especially for the parameters D and f and clinically relevant SNR levels. The choice of central tendency measure had less effect on the results, but had some effects on estimation bias. Results based on simulations and in vivo data agreed well, indicating high validity of the simulations. Conclusions Choice of prior distribution and central tendency measure affects the results of Bayesian IVIM parameter estimates. This must be considered when comparing results from different studies. The best overall quality of IVIM parameter estimates was obtained using the lognormal prior. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
📖 Papers frequently viewed together
198811.11Radiology
6 Authors (D. Le Bihan, ..., M. Laval-Jeantet)
References23
Newest
Purpose To assess the performance of various least squares and Bayesian modeling approaches to parameter estimation in intravoxel incoherent motion (IVIM) modeling of diffusion-weighted MRI data. Methods Simulated tissue models of different type (breast/liver) and morphology (discrete/continuous) were used to generate noisy data according to the IVIM model at several signal-to-noise ratios. IVIM parameter maps were generated using six different approaches, including full nonlinear least squares ...
Source
#1Hyo Jung Park (UOU: University of Ulsan)H-Index: 12
#2Yu Sub Sung (UOU: University of Ulsan)H-Index: 14
Last. Moon-Gyu Lee (UOU: University of Ulsan)H-Index: 51
view all 7 authors...
PURPOSE: To evaluate the influence of fitting methods on the accuracy and reliability of intravoxel incoherent motion (IVIM) parameters, with a particular emphasis on the constraint function. MATERIALS AND METHODS: Diffusion-weighted (DW) imaging data were analyzed using IVIM-based full-fitting (simultaneous fit of all parameters) and segmented-fitting (step-by-step fit of each parameter), each with and without the constraint function, to estimate the molecular diffusion coefficient (Dslow ), pe...
Source
#1Emma M. Meeus (University of Birmingham)H-Index: 3
#2Jan Novak (University of Birmingham)H-Index: 10
Last. Andrew C. Peet (University of Birmingham)H-Index: 32
view all 6 authors...
Purpose To investigate the robustness of constrained and simultaneous intravoxel incoherent motion (IVIM) fitting methods and the estimated IVIM parameters (D, D* and f) for applications in brain and low-perfused tissues. Materials and Methods Model data simulations relevant to brain and low-perfused tumor tissues were computed to assess the accuracy, relative bias, and reproducibility (CV%) of the fitting methods in estimating the IVIM parameters. The simulations were performed at a series of s...
Source
#1Harri Merisaari (UTU: University of Turku)H-Index: 18
#2Parisa Movahedi (UTU: University of Turku)H-Index: 7
Last. Ivan Jambor (UTU: University of Turku)H-Index: 21
view all 11 authors...
Purpose To evaluate different fitting methods for intravoxel incoherent motion (IVIM) imaging of prostate cancer in the terms of repeatability and Gleason score prediction. Methods Eighty-one patients with histologically confirmed prostate cancer underwent two repeated 3 Tesla diffusion-weighted imaging (DWI) examinations performed using 14 b-values in the range of 0–500 s/mm2 and diffusion time of 19.004 ms. Mean signal intensities of regions-of-interest were fitted using five different fitting...
Source
#1Youngwook Kee (Cornell University)H-Index: 7
#2Kofi Deh (Cornell University)H-Index: 10
Last. Yi Wang (Cornell University)H-Index: 81
view all 5 authors...
Purpose To investigate the computational aspects of the prior term in quantitative susceptibility mapping (QSM) by (i) comparing the Gauss-Newton conjugate gradient (GNCG) algorithm that uses numerical conditioning (ie, modifies the prior term) with a primal-dual (PD) formulation that avoids this, and (ii) carrying out a comparison between a central and forward difference scheme for the discretization of the prior term. Theory and Methods A spatially continuous formulation of the regularized QSM...
Source
#1Sebastiano BarbieriH-Index: 14
#2Olivio F. Donati (UZH: University of Zurich)H-Index: 29
Last. Harriet C. ThoenyH-Index: 51
view all 4 authors...
PURPOSE: To compare the variability, precision, and accuracy of six different algorithms (Levenberg-Marquardt, Trust-Region, Fixed-Dp , Segmented-Unconstrained, Segmented-Constrained, and Bayesian-Probability) for computing intravoxel-incoherent-motion-related parameters in upper abdominal organs. METHODS: Following the acquisition of abdominal diffusion-weighted magnetic resonance images of 10 healthy men, six distinct algorithms were employed to compute intravoxel-incoherent-motion-related par...
Source
#1Gene Young Cho (NYU: New York University)H-Index: 4
#2Linda Moy (NYU: New York University)H-Index: 38
Last. Eric E. Sigmund (NYU: New York University)H-Index: 34
view all 10 authors...
Purpose To compare fitting methods and sampling strategies, including the implementation of an optimized b-value selection for improved estimation of intravoxel incoherent motion (IVIM) parameters in breast cancer. Methods Fourteen patients (age, 48.4 ± 14.27 years) with cancerous lesions underwent 3 Tesla breast MRI examination for a HIPAA-compliant, institutional review board approved diffusion MR study. IVIM biomarkers were calculated using “free” versus “segmented” fitting for conventional o...
Source
#1Shiteng Suo (SJTU: Shanghai Jiao Tong University)H-Index: 14
#2Naier Lin (SJTU: Shanghai Jiao Tong University)H-Index: 1
Last. Jianrong Xu (SJTU: Shanghai Jiao Tong University)H-Index: 37
view all 8 authors...
Background: To compare three different curve-fitting methods for intravoxel incoherent motion (IVIM) analysis in breast cancer. Methods: Diffusion-weighted imaging was acquired in 30 patients with breast cancer using seven b-values (0–800 s/ mm 2 ). Three curve-fitting methods were used for biexponential IVIM analysis: a. Direct estimation of D (diffusion coefficient), D* (pseudodiffusion coefficient) and f (perfusion fraction) (Method 1), b. Estimation of D first and then D* and f (Method 2), c...
Source
#1Mami Iima (OIT: Osaka Institute of Technology)H-Index: 13
#2Kojiro YanoH-Index: 7
Last. Denis Le BihanH-Index: 62
view all 8 authors...
Objectives: The purpose of this study was to explore the potential of nonGaussian diffusion and perfusion magnetic resonance imaging (MRI) using intravoxel incoherent motion (IVIM) MRI for the diagnosis of breast lesions. Materials and Methods: This study included 26 women with breast lesions. Diffusion-weighted images were acquired using 16 b values up to 2500 s/mm 2 and analyzed using a kurtosis diffusion model (apparent diffusion coefficient [ADC0] and kurtosis [K]) for the diffusion componen...
Source
#1Anna Rydhög (Lund University)H-Index: 4
#2Matthias J.P. van Osch (Loyola University Medical Center)H-Index: 53
Last. Linda Knutsson (Lund University)H-Index: 20
view all 8 authors...
Due to limited SNR the cerebral applications of the intravoxel incoherent motion (IVIM) concept have been sparse. MRI hardware developments have resulted in improved SNR and this may justify a reassessment of IVIM imaging for non-invasive quantification of the cerebral blood volume (CBV) as a first step towards determining the optimal field strength.
Source
Cited By25
Newest
#1Qingyuan Zeng (Guangzhou University of Chinese Medicine)
#2Baoer Liu (Southern Medical University)
Last. Wu Zhou (Guangzhou University of Chinese Medicine)
view all 4 authors...
The intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging (IVIM-DWI) with a series of images with different b-values has great potential as a tool for detecting, diagnosing, staging, and monitoring disease progression or the response to treatment. The current clinical tumour characterisation using IVIM-DWI is based on the parameter values derived from the IVIM model. On the one hand, the calculation accuracy of such parameter values is susceptible to deviations due...
Source
#1Elisa Scalco (National Research Council)H-Index: 12
#2Alfonso Mastropietro (National Research Council)H-Index: 13
Last. Giovanna Rizzo (National Research Council)H-Index: 34
view all 5 authors...
Abstract null null Purpose null To propose a multivariate multi-step framework for a systematic assessment of the estimation reliability and discriminability of Intravoxel Incoherent Motion (IVIM) model parameters. null null null Methods null Monte-Carlo simulations were generated on a range of SNRs and in different IVIM combinations considering: i) a dense discretization with 24 b-values; ii) a discretization with 9 b-values. A state-of-the-art Bayesian fitting method was adopted. The framework...
Source
#1Bang-Bin Chen (NTU: National Taiwan University)H-Index: 18
#2Yu-Yun Shao (NTU: National Taiwan University)H-Index: 23
Last. Tiffany Ting-Fang Shih (NTU: National Taiwan University)H-Index: 31
view all 8 authors...
Objective: This study assessed dynamic contrast-enhanced (DCE)-MRI and intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) parameters to prospectively predict survival outcomes in participants with advanced hepatocellular carcinoma (HCC) who received lenalidomide, a dual antiangiogenic and immunomodulatory agent, as second-line therapy in a Phase II clinical trial. Materials and methods: Forty-four participants with advanced HCC who had progression after sorafenib as first-line tr...
Source
#1Xiu-Shi Zhang (HMU: Harbin Medical University)H-Index: 2
#2En-Hui Liu (HMU: Harbin Medical University)H-Index: 1
Last. Zi-Xiang Kuai (HMU: Harbin Medical University)H-Index: 6
view all 8 authors...
Background null Intravoxel incoherent motion (IVIM) tensor imaging is a promising technique for diagnosis and monitoring of cardiovascular diseases. Knowledge about measurement repeatability, however, remains limited. null Purpose null To evaluate short-term repeatability of IVIM tensor imaging in normal in vivo human hearts. null Study type null Prospective. null Population null Ten healthy subjects without history of heart diseases. null Field strength/sequence null Balanced steady-state free-...
Source
#1Georg Spinner (ETH Zurich)H-Index: 8
#2Christian Federau (ETH Zurich)H-Index: 18
Last. Sebastian Kozerke (ETH Zurich)H-Index: 62
view all 3 authors...
Abstract null null The intravoxel incoherent motion (IVIM) model allows to map diffusion (D) and perfusion-related parameters (F and D*). Parameter estimation is, however, error-prone due to the non-linearity of the signal model, the limited signal-to-noise ratio (SNR) and the small volume fraction of perfusion in the in-vivo brain. In the present work, the performance of Bayesian inference was examined in the presence of brain pathologies characterized by hypo- and hyperperfusion. In particular...
Source
#1Thomas Koopman (VU: VU University Amsterdam)H-Index: 7
#2Roland M. Martens (VU: VU University Amsterdam)H-Index: 7
Last. J. Tim Marcus (VU: VU University Amsterdam)H-Index: 47
view all 9 authors...
PURPOSE The intravoxel incoherent motion (IVIM) model for DWI might provide useful biomarkers for disease management in head and neck cancer. This study compared the repeatability of three IVIM fitting methods to the conventional nonlinear least-squares regression: Bayesian probability estimation, a recently introduced neural network approach, IVIM-NET, and a version of the neural network modified to increase consistency, IVIM-NETmod . METHODS Ten healthy volunteers underwent two imaging session...
Source
Recent developments in MR hardware and software have allowed a surge of interest in intravoxel incoherent motion (IVIM) MRI in oncology. Beyond diffusion-weighted imaging (and the standard apparent diffusion coefficient mapping most commonly used clinically), IVIM provides information on tissue microcirculation without the need for contrast agents. In oncology, perfusion-driven IVIM MRI has already shown its potential for the differential diagnosis of malignant and benign tumors, as well as for ...
Source
#1Chen Ye (Guida: Guizhou University)H-Index: 2
#2Daoyun Xu (Guida: Guizhou University)H-Index: 2
Last. Yuemin Zhu (Guida: Guizhou University)H-Index: 26
view all 5 authors...
Source
#1Steren Chabert (Valpo: Valparaiso University)H-Index: 7
#2Jorge Verdu (Polytechnic University of Valencia)H-Index: 1
Last. Alejandro Veloz (Valpo: Valparaiso University)H-Index: 7
view all 9 authors...
PURPOSE: Intravoxel incoherent motion (IVIM) analysis has attracted the interest of the clinical community due to its close relationship with microperfusion. Nevertheless, there is no clear reference protocol for its implementation; one of the questions being which b-value distribution to use. This study aimed to stress the importance of the sampling scheme and to show that an optimized b-value distribution decreases the variance associated with IVIM parameters in the brain with respect to a reg...
Source
#1Mami Iima (Kyoto University)H-Index: 13
#2Maya Honda (Kyoto University)H-Index: 3
Last. Kaori Togashi (Kyoto University)H-Index: 84
view all 6 authors...
: Diffusion-weighted imaging (DWI) is increasingly being incorporated into routine breast MRI protocols in many institutions worldwide, and there are abundant breast DWI indications ranging from lesion detection and distinguishing malignant from benign tumors to assessing prognostic biomarkers of breast cancer and predicting treatment response. DWI has the potential to serve as a noncontrast MR screening method. Beyond apparent diffusion coefficient (ADC) mapping, which is a commonly used quanti...
Source
This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.