DocumentCode :
141208
Title :
Gradient-based magnetic resonance electrical properties imaging of brain tissues
Author :
Jiaen Liu ; Xiaotong Zhang ; Schmitter, Sebastian ; Van de Moortele, Pierre-Francois ; Bin He
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
6056
Lastpage :
6059
Abstract :
Electrical properties tomography (EPT) holds promise for noninvasively mapping at high spatial resolution the electrical conductivity and permittivity of biological tissues in vivo using a magnetic resonance imaging (MRI) scanner. In the present study, we have developed a novel gradient-based EPT approach with greatly improved tissue boundary reconstruction and largely elevated robustness against measurement noise compared to existing techniques. Using a 7 Tesla MRI system, we report, for the first time, high-quality in vivo human brain electrical property images with refined structural details, which can potentially merit clinical diagnosis (such as cancer detection) and high-field MRI applications (quantification of local specific absorption rate) in the future.
Keywords :
bioelectric phenomena; biomedical MRI; brain; edge detection; electrical conductivity; image reconstruction; permittivity; tomography; MRI scanner; brain tissue electrical properties; electrical property tomography; gradient based EPT approach; gradient based magnetic resonance imaging; high quality human brain electrical property images; in vivo biological tissue electrical conductivity; in vivo biological tissue permittivity; in vivo human brain electrical property images; magnetic flux density 7 T; noninvasive mapping; tissue boundary reconstruction; Coils; Image reconstruction; In vivo; Magnetic resonance imaging; Radio frequency; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6945010
Filename :
6945010
Link To Document :
بازگشت