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The TORTOISE website has been moved to https://tortoise.nibib.nih.gov.

For any information about TORTOISE generation V3.x.x, please refer to the new website.

DR-BUDDI

Please note: The information here pertains to the an older version (v2.5.2) of DR-BUDDI

DR-BUDDI is the newest module of TORTOISE which is used to correct susceptibility induced EPI distortions using blip-up and blip-down data. This correction algorithm differs from DIFFPREP, in that, here we use information from a pair of data acquired with phase encoding in opposite direction to perform the correction. Hence the name Blip-up, Blip-down correction.

Data requirements:

  1. Two sets of DWI's and at least a pair of b0's acquired with two different phase encoding direction:
    AP- blip up, PA- blip down
    or
    RL- blip up, LR- blip down
    Note: You may only use datasets of opposite phase encoding. The software fails if provided with datasets from completely mismatched phase encoded datasets, for ex: AP-RL, PA-LR etc.
  2. A T2 structural image

Access the DR-BUDDI Software Guide.

ATTENTION

If you have used DR-BUDDI version v 2.5.1 and if you did not use "fine tuning with DWI" option, we strongly recommend re-processing your data with the new, DR-BUDDI v.2.5.2b with the "fine tuning with DWI" option switched on.

References

  1. Irfanoglu MO, Modi P, Nayak A, Hutchinson EB, Sarlls J, and Pierpaoli C. (2015) DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions. Neuroimage 106, 284-299.
  2. Irfanoglu MO, Modi P, Nayak A, Knutsen A, Sarlls J, Pierpaoli C. (2014) DR-BUDDI: diffeomorphic registration for blip up-down diffusion imaging. Med Image Comput Comput Assist Interv. 2014;17(Pt 1):218-26.