create_bias_list

This function creates a vector of imhomogeneity corrected images for a patient.
The vector contains a vector of the length of the MRI modalities (T1-weighted, T2-weighted and/or FLAIR).

Preprocessing pipeline for normalizing and cleaning T1-weighted, T2-weighted and FLAIR MRI images coming from different sources, diseases, patients, scanners and sites.

David Payares

neuronorm

Preprocessing of Structural MRI for Multiple Neurodegenerative
Diseases

Jorge Mateu

Wiebke Schick

Nicholas J. Tustison

Brian B Avants

Philip A. Cook

Yuanjie Zheng

Alexander Egan

Paul A. Yushkevich

James C. Gee

M. Grossman

Jean-Philippe Fortin

Elizabeth M. Sweeney

John Muschelli

Ciprian M. Crainiceanu

Russell T. Shinohara

Yongyue  Zhang

J. Michae Brady

Stephen Smith

create_bias_list function

<dl><dt>modalities</dt>
<dd>vector of strings containing the modalities to be preprocessed. It must always contains the T1-weighted sequence scan.</dd>
<dt>bias_T1</dt>
<dd>bias image in NifTI format.</dd>
<dt>list_corregister</dt>
<dd>list of paths of corregisted images.</dd></dl>

Arguments

Create a vector of inhomogeneity corrected images based on the available MRI images modalities. — create_bias_list

<dl>

<dt>modalities</dt>
<dd>vector of strings containing the modalities to be preprocessed. It must always contains the T1-weighted sequence scan.</dd>


<dt>bias_T1</dt>
<dd>bias image in NifTI format.</dd>


<dt>list_corregister</dt>
<dd>list of paths of corregisted images.</dd>

</dl>

Create a vector of inhomogeneity corrected images based on the available MRI images modalities.

create_bias_list: Create a vector of inhomogeneity corrected images based on the available MRI images modalities.

Description

Usage

Value

Arguments