Bet Programs. bet - the main command-line script which makes calling the core bet2 and betsurf programs easy . bet2 - the main brain extraction program . betsurf - using a registered T1 and T2 image pair, estimates inner and outer skull surfaces and outer scalp surface . Bet - the BET GUI

FSL is a comprehensive library of analysis tools for FMRI, MRI and diffusion brain imaging data. It runs on macOS (Intel and M1/M2/M3), Linux, and Windows via the Windows Subsystem for Linux, and is very easy to install.

Most FSL programs can be run from the command-line without using a GUI, by typing fully lowercase names (e.g. bet). Many programs also have a GUI, which can be started via the fsl mini-GUI (type fsl) or by typing a capitalised version of the command name (e.g. Bet).

Since fMRI studies focus on brain tissue, our first step is to remove the skull and non-brain areas from the image. FSL has a tool for this called bet, or the Brain Extraction Tool. It is the first button listed on the FSL GUI (indicated by “A” in the figure below).

HD-BET outperformed five publicly available brain extraction algorithms (FSL BET, AFNI 3DSkullStrip, Brainsuite BSE, ROBEX and BEaST) across all datasets and yielded median improvements of +1.33 to +2.63 points for the DICE coefficient and -0.80 to -2.75 mm for the Hausdorff distance (Bonferroni-adjusted p<0.001).

The method - BET (Brain Extraction Tool) - uses a deformable model which evolves to fit the brain’s surface by the application of a set of locally adaptive model forces. The method is very fast and requires no pre-registration or other pre-processing before being applied.

Run the BET tool: from the GUI (simply fill in the input image; default output image is created, but can be changed) from the command line (specify input and output image names) Check outputs: load brain extracted image over original image in FSLView (use …

BET (Brain Extraction Tool) deletes non-brain tissue from an image of the whole head. It can also estimate the inner and outer skull surfaces, and outer scalp surface, if you have good quality T1 and T2 input images.

What do the -f and -g options in BET do? The -f option in BET is used to set a fractional intensity threshold which determines where the edge of the final segmented brain is located. The default value is 0.5 and the valid range is 0 to 1.

2012年7月16日 · Background: Brain atrophy studies often use FSL-BET (Brain Extraction Tool) as the first step of image processing. Default BET does not always give satisfactory results on 3DT1 MR images, which negatively impacts atrophy measurements.