2020-11-06
Processing neuroimaging data, regardless of the algorithm/software used, usually means generating more data, such as, among other possible types of outputs, numeric endpoints and, * more images *. Modern techniques now allow to use them over large collections of data, as seen with some recent large epidemiological studies and/or clinical …
2019-11-03
Interacting with the data on XNAT can be done mainly two ways: either graphically using the web application, or through a REST API. While the former is suited for all profiles, the latter is intended for a more technical category of users.
The pyxnat
library adds an extra layer over …
2019-11-01
XNAT stands for eXtensible Neuroimaging Archive Toolkit and as such, it may be extended to meet some specific needs and host data of heterogeneous types.
Among existing features XNAT is designed to host any generic collection of DICOM/NIfTI files and their associated derived resources. Interacting with the data can …
2019-08-20
This is a short example showing how to identify subjects with multiple MR experiments on XNAT, for potential use in the context of a longitudinal analysis. Consider it as an extra tutorial for pyxnat.
As almost always, everything starts with creating an Interface.
import pyxnat
x = pyxnat.Interface(config='/home …2019-08-19
A couple of basic commands to get started with pyxnat. This post quickly overviews the XNAT data model by the means of short examples, starting by creating a connection to a running instance. Documentation can be found there.
EDIT: pyxnat v1.4 was just released on 30/10/2020.
There …