Truly reproducible uniform estimation of the ADC with multi-b diffusion data- Application in prostate diffusion imaging.
Magn Reson Med
; 89(4): 1586-1600, 2023 04.
Article
in En
| MEDLINE
| ID: mdl-36426737
ABSTRACT
PURPOSE:
The ADC is a well-established parameter for clinical diagnostic applications, but lacks reproducibility because it is also influenced by the choice diffusion weighting level. A framework is evaluated that is based on multi-b measurement over a wider range of diffusion-weighting levels and higher order tissue diffusion modeling with retrospective, fully reproducible ADC calculation.METHODS:
Averaging effect from curve fitting for various model functions at 20 linearly spaced b-values was determined by means of simulations and theoretical calculations. Simulation and patient multi-b image data were used to compare the new approach for diffusion-weighted image and ADC map reconstruction with and without Rician bias correction to an active clinical trial protocol probing three non-zero b-values.RESULTS:
Averaging effect at a certain b-value varies for model function and maximum b-value used. Images and ADC maps from the novel procedure are on-par with the clinical protocol. Higher order modeling and Rician bias correction is feasible, but comes at the cost of longer computation times.CONCLUSIONS:
Application of the new framework makes higher order modeling more feasible in a clinical setting while still providing patient images and reproducible ADC maps of adequate quality.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Prostate
/
Diffusion Magnetic Resonance Imaging
Type of study:
Guideline
Limits:
Humans
/
Male
Language:
En
Journal:
Magn Reson Med
Journal subject:
DIAGNOSTICO POR IMAGEM
Year:
2023
Document type:
Article
Affiliation country:
Sweden