Optimizing Fractional Intensity Threshold for FSLBrain Extraction Tool (BET) and Comparing with FreeSurfer on 3D T1W MR Images
Keywords:
Fractional intensity threshold; MRI; BET; FreeSurferAbstract
Objective: To find out the optimal Brain Extraction Tool (BET) parameter (fractional intensity threshold) for
measuring the brain volume compared with the standard manual method in our institute and to compare with
those of automated FreeSurfer software
Methods: This retrospective study was performed in 10 healthy adult subjects with data of 3D-T1W on 3T MR
machine. The manual gold standard brain volume measurements were done by two independent readers. The
automated segmentations using BET with varied parameters and FreeSurfer software were also performed. Then,
the two automated methods were compared with the manual tracing to make the optimal parameter by seeking for
the highest intraclass correlation coefficient (ICC) using SPSS software.
Results: The fractional intensity threshold for whole brain volume measurement of 0.1- 0.6 showed high ICC with
the manual gold standard (ranging from 0.639 to 0.748). The best value was 0.1, showing highest ICC of 0.748
(p < 0.006) with confidence interval of 95% equal to (0.242; 0.932). There were no optimal parameters for right and
left hippocampus volume measurement by BET due to very low ICC between BET and the reader (ICC ranging
from 0.017 to 0.139 and from 0.012 to 0.110, for the right and left hippocampus volume, respectively). The ICC
values of the automated FreeSurfer method with the manual tracing were also very low (0.063, 0.068, and 0.063 for
right, left and bilateral hippocampi respectively).
Conclusion: The optimal BET parameter (fractional intensity threshold) for automated brain volume measurement
in our institute is 0.1 similar to the suggested value by prior study with high agreement (ICC=0.748) to the manual
method.
Downloads
Published
How to Cite
Issue
Section
License
Users are free to share, copy, and redistribute all articles published in the Siriraj Medical Journal (SMJ) in any medium or format as long as you follow the following terms:
- Attribution — You must give appropriate credit, provide a link to the material, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the publisher endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.