Background
Magnetic Resonance Images(MRI) are medical images taken of the anatomy(in
this project, the brain will be considered).
MRI's are used experimentally to determine what regions of the specific anatomy
where active/inactive.
The subject involced in the MRI may or may not have been performing a task. The basic unit in an MRI is the
voxel.
fMRI, is a continuous sequence of MRI's over time. fMRI are classified as
4D data where the 4th dimension is time.
One problem of fMRI is that by taking images over time, voxel values in
one volume may represent
different aspects of the brain than voxels in
other volumes.
This is generally caused by motion and can lead to unneccessary anomalies
such as
partial volume effects, hence one aim of this project is to
remove the anomalies in the data by mens of filtering.
The project will apply existing filters used in standard image processing
tasks to filter fMRI data.