Journal article icon

Journal article

Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and total variation spatial regularization

Abstract:

Due to a higher capability in resolving white matter fiber crossings, Spherical Deconvolution (SD) methods have become very popular in brain fiber-tracking applications. However, while some of these estimation algorithms assume a central Gaussian distribution for the MRI noise, its real distribution is known to be non-Gaussian and to depend on many factors such as the number of coils and the methodology used to combine multichannel signals. Indeed, the two prevailing methods for multichannel ...

Expand abstract

Actions


Authors


Canales-Rodríguez, EJ More by this author
Daducci, A More by this author
Sotiropoulos, SN More by this author
Caruyer, E More by this author
Aja-Fernández, S More by this author
Expand authors...
Publication date:
2014-10-23
URN:
uuid:9f4185ae-4432-47c7-abc1-d8a3a48837aa
Source identifiers:
487419
Local pid:
pubs:487419
Keywords:

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP