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fmriprep performs a field-map-less susceptibility correction (
http://fmriprep.readthedocs.io/en/latest/sdc.html), but I've never tried
it. They do note that its experimental.

--
Joseph M. Orr, Ph.D.
Assistant Professor
Department of Psychological and Brain Sciences
Texas A&M Institute for Neuroscience
Texas A&M University
College Station, TX

On Thu, Jun 14, 2018 at 12:32 PM, Carlotta Fabris <[log in to unmask]>
wrote:

> Very helpful thank you Rachelle!
>
>
> Il Gio 14 Giu 2018, 19:22 Rachelle Ho <[log in to unmask]> ha scritto:
>
>> Hi Carlotta,
>>
>> Fieldmap unwarping is helpful but not necessary. If you have B0 scans,
>> you'll be able to create a fieldmap with FSL
>> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.fmrib.ox.ac.uk_primers_intro-5Fprimer_ExBox19_IntroBox19.html&d=DwMFaQ&c=ODFT-G5SujMiGrKuoJJjVg&r=ZKy1VO33u0kvO-PqY1gpb9Ld-AGhtT8c9PAcpsEyp70&m=O4Jiro7Q6tC1OYs1VodfEfe2xFNTbFezUhM5yk7rEAs&s=al4pKx66WdWBg3UtQD-9NFx3wblxUptAR_8tAMU2Yt4&e=>.
>> The fieldmap corrections help fix any distortions you see in your
>> functional scans. If you register your functional images to an anatomical
>> and find that the functional image looks odd / warped / doesn't match the
>> boundaries of the anatomical, fieldmap corrections can help correct and
>> improve the quality of your data before you analyze it.
>>
>> Functional / EPI data is susceptible to distortions in the magnetic
>> field, which causes some of the distortions to the shape of your images.
>> That's why we collect information about the fieldmap when the data is
>> acquired.
>>
>> Hope this helps answer your questions.
>>
>> Best wishes,
>> Rachelle
>>
>> On Thu, Jun 14, 2018 at 5:48 AM, Carlotta Fabris <
>> [log in to unmask]> wrote:
>>
>>> Hi Matthew, sorry to bother you again, but I was wondering if the B0
>>> unwarping is a necessary step in a preprocessing pipeline.
>>>
>>> I am asking you this, because I never did it and I don't have a field
>>> map to put as input, but should I perform this step or is it required only
>>> in certain conditions?
>>>
>>> The information I have on my data are these: Data were acquired on a 3
>>> Tesla Siemens Vereo MRI scanner with a 32-channel birdcage radio frequency
>>> headcoil (neckcoil was not used, leaving 28 channels). For the functional
>>> scans, a 28 slice axial prescription (5 mm thickness) gave whole brain
>>> coverage. For each imaging run, a series of 190 gradient echo echoplanar
>>> volumes were acquired over each: TE = 35 ms, TR = 2000 ms, Flip Angle =75O,
>>> NEX = 1, BW = 100.0, FOV = 24mm, matrix =128 x 128 (in-plane resolution of
>>> 1.875mm2).
>>>
>>> Thank you,
>>> Carlotta.
>>>
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