Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …

All fields of neuroscience that employ brain imaging need to communicate their results with
reference to anatomical regions. In particular, comparative morphometry and group analysis …

A large number of algorithms have been developed to perform non-rigid registration and it is
a tool commonly used in medical image analysis. The free-form deformation algorithm is a …

Human MRI scanners at ultra-high magnetic field strengths of 7 T and higher are
increasingly available to the neuroscience community. A key advantage brought by ultra …

We introduce an optimised pipeline for multi-atlas brain MRI segmentation. Both accuracy
and speed of segmentation are considered. We study different similarity measures used in …

A fundamental assumption in neuroscience is that brain structure determines function.
Accordingly, functionally distinct regions of cortex should be structurally distinct in their …

Abstract Medical Resonance Imaging (MRI) is one of the preferred imaging methods for
brain tumor diagnosis and getting detailed information on tumor type, location, size …

Functional near-infrared spectroscopy (fNIRS) has now become widely accepted as a
common functional imaging modality. In order for fNIRS to achieve genuine neuroimaging …