In vivo assessment of optimal b-value range for perfusion-insensitive apparent diffusion coefficient imaging

Purpose: To assess the optimalb-values range for perfusion-insensitive apparent diffusion coefficient (ADC) imaging of abdominal organs using short-duration DW-MRI acquisitions with currently available ADC estimation methods. Methods: DW-MRI data of 15 subjects were acquired with eightb-values in th...

Full description

Saved in:
Bibliographic Details
Published inMedical physics (Lancaster) Vol. 39; no. 8; pp. 4832 - 4839
Main Authors Freiman, Moti, Voss, Stephan D., Mulkern, Robert V., Perez-Rossello, Jeannette M., Callahan, Michael J., Warfield, Simon K.
Format Journal Article
LanguageEnglish
Published United States American Association of Physicists in Medicine 01.08.2012
Subjects
Online AccessGet full text
ISSN0094-2405
2473-4209
0094-2405
DOI10.1118/1.4736516

Cover

More Information
Summary:Purpose: To assess the optimalb-values range for perfusion-insensitive apparent diffusion coefficient (ADC) imaging of abdominal organs using short-duration DW-MRI acquisitions with currently available ADC estimation methods. Methods: DW-MRI data of 15 subjects were acquired with eightb-values in the range of 5–800 s/mm2. The reference-standard, a perfusion insensitive, ADC value (ADCIVIM), was computed using an intravoxel incoherent motion (IVIM) model with all acquired diffusion-weighted images. Simulated DW-MRI data was generated using an IVIM model with b-values in the range of 0–1200 s/mm2. Monoexponential ADC estimates were calculated using: (1) Two-point estimator (ADC2); (2) least squares three-point (ADC3) estimator and; (3) Rician noise model estimator (ADCR). The authors found the optimal b-values for perfusion-insensitive ADC calculations by minimizing the relative root mean square error (RRMS) between the ADCIVIM and the monoexponential ADC values for each estimation method and organ. Results: Lowb-value = 300 s/mm2 and high b-value = 1200 s/mm2 minimized the RRMS between the estimated ADC and the reference-standard ADCIVIM to less than 5% using the ADC3 estimator. By considering only the in vivo DW-MRI data, the combination of low b-value = 270 s/mm2 and high b-value of 800 s/mm2 minimized the RRMS between the estimated ADC and the reference-standard ADCIVIM to <7% using the ADC3 estimator. For all estimators, the RRMS between the estimated ADC and the reference standard ADC correlated strongly with the perfusion-fraction parameter of the IVIM model (r = [0.78–0.83], p ≤ 0.003). Conclusions: The perfusion compartment in DW-MRI signal decay correlates strongly with the RRMS in ADC estimates from short-duration DW-MRI. The impact of the perfusion compartment on ADC estimations depends, however, on the choice ofb-values and estimation method utilized. Likewise, perfusion-related errors can be reduced to <7% by carefully selecting the b-values used for ADC calculations and method of estimation.
Bibliography:Telephone: +1‐617‐255‐3755; Fax: +1 617‐730‐4644.
moti.freiman@childrens.harvard.edu
Author to whom correspondence should be addressed. Electronic mail
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Author to whom correspondence should be addressed. Electronic mail: moti.freiman@childrens.harvard.edu; Telephone: +1-617-255-3755; Fax: +1 617-730-4644.
ISSN:0094-2405
2473-4209
0094-2405
DOI:10.1118/1.4736516