scholarly journals Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields

Author(s):  
Marcelo A. Castro ◽  
Jianhua Yao ◽  
Yuxi Pang ◽  
Eva Baker ◽  
John Butman ◽  
...  
Author(s):  
Farah Bazzi ◽  
Juan D. Dios Rodriguez-Callejas ◽  
Caroline Fonta ◽  
Ahmad Diab ◽  
Hassan Amoud ◽  
...  

2000 ◽  
Vol 4 (4) ◽  
pp. 303-316 ◽  
Author(s):  
Bruno Moretti ◽  
Jalal Mohamed Fadili ◽  
Su Ruan ◽  
Daniel Bloyet ◽  
Bernard Mazoyer

NeuroImage ◽  
2018 ◽  
Vol 168 ◽  
pp. 141-151 ◽  
Author(s):  
Jonathan C. Lau ◽  
Ali R. Khan ◽  
Tony Y. Zeng ◽  
Keith W. MacDougall ◽  
Andrew G. Parrent ◽  
...  

2022 ◽  
Vol 15 ◽  
Author(s):  
Yu Yan ◽  
Yaël Balbastre ◽  
Mikael Brudfors ◽  
John Ashburner

Segmentation of brain magnetic resonance images (MRI) into anatomical regions is a useful task in neuroimaging. Manual annotation is time consuming and expensive, so having a fully automated and general purpose brain segmentation algorithm is highly desirable. To this end, we propose a patched-based labell propagation approach based on a generative model with latent variables. Once trained, our Factorisation-based Image Labelling (FIL) model is able to label target images with a variety of image contrasts. We compare the effectiveness of our proposed model against the state-of-the-art using data from the MICCAI 2012 Grand Challenge and Workshop on Multi-Atlas Labelling. As our approach is intended to be general purpose, we also assess how well it can handle domain shift by labelling images of the same subjects acquired with different MR contrasts.


Author(s):  
Farah Bazzi ◽  
Muriel Mescam ◽  
Ahmad Diab ◽  
Omar Falou ◽  
Hassan Amoud ◽  
...  

Author(s):  
M.J. Hennessy ◽  
E. Kwok

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.


Sign in / Sign up

Export Citation Format

Share Document