Document Detail


The future of susceptibility contrast for assessment of anatomy and function.
MedLine Citation:
PMID:  22245644     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The magnetic properties of tissues affect MR images and differences in magnetic susceptibility can be utilized to provide impressive image contrast. Specifically, phase images acquired with gradient echo MRI provide unique and superb contrast which reflects variations in the underlying tissue composition. There is great interest in extracting tissue susceptibility from image data since magnetic susceptibility is an intrinsic tissue property that reflects tissue composition much more closely than MRI phase. Still, this major tissue contrast mechanism is largely unexplored in magnetic resonance imaging because non-conventional reconstruction and dipole deconvolution are required to quantitatively map tissue susceptibility properly. This short review summarizes the current state of susceptibility contrast and susceptibility mapping and aims to identify future directions.
Authors:
Jürgen R Reichenbach
Related Documents :
14996594 - Comparison of calcium scores from thick- and thin image slice-computed tomography scann...
10548774 - Stress functional mri: detection of ischemic heart disease and myocardial viability.
21576784 - Magnetic multicore nanoparticles for hyperthermia-influence of particle immobilization ...
20332374 - A method for reconstructing the arterial input function during helical ct: implications...
11710924 - Confocal examination of nonmelanoma cancers in thick skin excisions to potentially guid...
14521204 - Renal imaging with ultrasound contrast: current status.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-8
Journal Detail:
Title:  NeuroImage     Volume:  -     ISSN:  1095-9572     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-1-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Inc. All rights reserved.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Studying the freely-behaving brain with fMRI.
Next Document:  Amygdala response to smoking-cessation messages mediates the effects of serotonin transporter gene v...