Skip to content

udaysuresh/brain-MRI-processing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Moving from the MRI scanner to results

Using dcm2niix & FSL - BET, FAST, FLIRT

BET+FAST for segmentation on T1 images, FLIRT (w/ BET) for registration between UTE and T1

An illustration of the pipeline that processes the images obtained from 3T MRI

Working with volunteer data from T1 SPGR PRE-GAD (DCM folder 2)and UTE multiecho sat (DCM folder 3) to be compared against each other.

Results of dcm2nii conversion for both T1 and UTE are aggregated in preproc folder

After BET/FAST processing (imaged through Papaya visualizer):

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages