Perfusion-Related Parameters in Intravoxel Incoherent Motion MR Imaging Compared With CBV and CBF Measured by Dynamic Susceptibility-Contrast MR Technique

Wirestam, Ronnie; Borg, Mikael; Brockstedt, Sara; Lindgren, Arne; Holtås, Stig; Ståhlberg, Freddy

doi:10.1034/j.1600-0455.2001.042002123.x

Cited by 58 publications

(67 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, f correlated moderately with DSC CBV, confirming earlier results. 23 In the histogram analysis of all whole tumors, the heavy-tailed distribution for the high-grade in comparison with the low-grade gliomas and the reference white matter demon- strated that the presented effect can be measured independent of region-of-interest placement.…”

Section: Discussionmentioning

confidence: 99%

Perfusion Measurement in Brain Gliomas with Intravoxel Incoherent Motion MRI

Federau

Meuli

O’Brien

et al. 2013

American Journal of Neuroradiology

131

149

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Perfusion Measurement in Brain Gliomas with Intravoxel Incoherent Motion MRI

Federau

Meuli

O’Brien

et al. 2013

American Journal of Neuroradiology

131

149

View full text Add to dashboard Cite

show abstract

“…(1) typically a multistep approach is used, [11][12][13][14][15][16][17][18][19] where D is calculated from all b-value above a threshold, where perfusion contributions are presumed to be negligible. Subsequently, F p is calculated from the y-axis intercept of "pure" diffusion and finally D* in separate steps.…”

Section: Combined Ivim-dki Analysismentioning

confidence: 99%

“…3 To overcome this issue, different approaches have been used, including fixing of the pseudodiffusion coefficient, Bayesian fitting, and discretization of the fitting parameters. [4][5][6][7][8][9][10] One of the most commonly used approaches today is a multistep procedure calculating separately 1 IVIM parameter after the other, [11][12][13][14][15][16][17][18][19][20][21][22][23] thereby reducing the degree of freedom for each individual step.…”

mentioning

confidence: 99%

A Standardized Parameter-Free Algorithm for Combined Intravoxel Incoherent Motion and Diffusion Kurtosis Analysis of Diffusion Imaging Data

Wurnig

Kenkel

Filli

et al. 2016

Investigative Radiology

View full text Add to dashboard Cite

OBJECTIVES The aims of this study were to implement and systematically evaluate the performance of a new parameter-free segmented algorithm for analysis of diffusion imaging data using a combined intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) model of spin diffusion in comparison with the simpler intravoxel incoherent motion (IVIM) model. MATERIALS AND METH-ODS A multistep algorithm was implemented intended to separate diffusion kurtosis from IVIM effects in multi-b-value diffusion measurements using an adaptive b-value threshold technique. For each possible b-value threshold (separating diffusion and perfusion effects), diffusion kurtosis analysis of high b-values is followed by IVIM analysis keeping kurtosis parameters fixed. The b-value threshold with smallest Akaike information criterion is chosen as best model solution. The algorithm was tested in diffusion data sets of the upper abdomen from 8 healthy volunteers with 16 different b-values and compared with a standard multistep IVIM analysis. RESULTS The proposed algorithm could successfully be applied to all data sets and provided a significantly better fit of the observed signal decay in all assessed organs (all P < 0.03). Using the proposed IVIM-DKI model of diffusion instead of an IVIM model had a systematic impact on the resulting IVIM parameters: The pure diffusion coefficient and the pseudodiffusion coefficient were significantly increased (P < 0.03 in all assessed organs), accompanied by a decrease in the perfusion fraction in liver, pancreas, renal cortex, and skeletal muscle (all P < 0.02). Optimal b-value thresholds separating diffusion from perfusion effects had a tendency to lower values when the IVIM-DKI model was used. CONCLUSIONS The proposed algorithm provides a new approach for separation of IVIM and kurtosis effects of diffusion data without organ-specific adaptation.

show abstract

“…(1). Since a simultaneous fit of all these parameters could be difficult, given the high dispersion and the limited sampling of DwI signals at low b value (bb150 s/mm 2 ) [23,24], a twostep fitting procedure was adopted, as described in other papers [25,26].…”

Section: Dwi Quantitative Analysismentioning

confidence: 99%

Magnetic resonance diffusion-weighted imaging: quantitative evaluation of age-related changes in healthy liver parenchyma

Pasquinelli

Belli

Mazzoni

et al. 2011

Magnetic Resonance Imaging

View full text Add to dashboard Cite

The purpose of this study was to verify in healthy liver parenchyma the possible influence of age on DwI-related parameters: apparent diffusion coefficient (ADC), perfusion fraction (PF), diffusion and pseudodiffusion coefficient (D and D ⁎ ). Forty healthy adult volunteers (age range 26-86 years), divided into four age groups, were prospectively submitted to a breath-hold magnetic resonance diffusion imaging (MR-DwI) (two b values, 0-300 and 0-1000 s/mm 2 ). A smaller cohort of 16 subjects underwent a free-breath multi-b acquisition (16 b values, 0-750 s/mm 2 ). Quantitative analysis was performed by two observers with manually defined regions of interest, on the most homogeneous portion of the right liver lobe. Individual and group statistical analysis of data was performed: ANOVA to establish differences between groups and Pearson correlation coefficient to investigate the association between DwI parameters and age. The mean, S.D. and 95% limits of agreement of ADC values for each age-defined group are reported. ANOVA showed no significant differences between group means (P always N.05). No significant correlation between subjects' age and DwI parameters was established, both in breath-hold and freebreath acquisitions, on the whole range of adopted b values. Our study conducted on healthy liver parenchyma shows that there are no significant differences in ADC, PF, D and D ⁎ of younger or older subjects.

show abstract

Perfusion-Related Parameters in Intravoxel Incoherent Motion MR Imaging Compared With CBV and CBF Measured by Dynamic Susceptibility-Contrast MR Technique

Abstract: The IVIM concept provided results that agreed reasonably with conventional CBV and CBF. The non-linear fitting to noisy signal data was problematic, in accordance with previously presented simulations.

Cited by 58 publications

References 32 publications

Perfusion Measurement in Brain Gliomas with Intravoxel Incoherent Motion MRI

Perfusion Measurement in Brain Gliomas with Intravoxel Incoherent Motion MRI

A Standardized Parameter-Free Algorithm for Combined Intravoxel Incoherent Motion and Diffusion Kurtosis Analysis of Diffusion Imaging Data

Magnetic resonance diffusion-weighted imaging: quantitative evaluation of age-related changes in healthy liver parenchyma

Contact Info

Product

Resources

About