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Assuming that transformation to standard space is good, you could use the
brain mask of the T2 to extract the T1 (fslmaths -mas option will do this
fine).  However, you might also try making sure that the center of the brain
extraction sphere is located in the center of the brain, and, if there is a
superior/inferior bias in the extraction extent (e.g. too liberal on the
top, too conservative on the bottom, you could try using the -g function.  

 

Peace,

 

Matt.

 

  _____  

From: FSL - FMRIB's Software Library [mailto:[log in to unmask]] On Behalf
Of William Janes
Sent: Wednesday, October 10, 2007 7:04 PM
To: [log in to unmask]
Subject: [FSL] BET Extracting T1-weighted Images With Stroke Lesions

 

All,

I am attempting multi-channel segmentation of brains with a variety of
stroke lesions. While segmentation with mfast seems painless, the initial
BET brain extraction is problematic.

BET does quite well at extracting our T2-weighted images at it's default
settings. The T1-weighted images, however, do not extract cleanly. I have
tried numerous iterations, adjusting the fractional intensity threshold,
using -R, -S, or -A2, and all result in erroneously included and excluded
voxels. That is, an unacceptable amount of grey matter is removed and a
great deal of bone, muscle, and other tissue remains. In addition, large
swaths of more shallow lesions are excluded, defeating the purpose of the
process.

The T1 and T2 images have already been transformed to the same atlas space.
Given that, along with the quality of our T2 BET extraction, does the
following solution sound reasonable?

- Use 'bet -m' to extract the T2 and generate a binary mask
- Use the mri_mask tool from Freesurfer to apply the T2 mask to the T1 image
- Proceed with mfast using the extracted T2 and the masked T1

Alternatively, if this process sounds inappropriate, does anyone have
suggestions for better T1 extraction?

Thank you for any help you can provide.


William E. Janes
OTD Student
Washington University School of Medicine
Program in Occupational Therapy
Campus Box 8505
4444 Forest Park Avenue
St. Louis, MO 63108
(618) 973-5344