DocumentCode
471514
Title
EIT Images with Improved Spatial Resolution Using a Realistic Head Model
Author
Dong, Guoya ; Bayford, Richard ; Liu, Hesheng ; Zhou, Ying ; Yan, Weili
Author_Institution
Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
1134
Lastpage
1137
Abstract
A recursive algorithm is presented to improve the spatial resolution of 3-D Electrical Impedance Tomography (EIT) images in a four-shell realistic head model. In this algorithm, the low spatial resolution image derived from the standardized low resolution electromagnetic tomography algorithm (sLORETA) is chosen to be the initial estimate for the Focal Underdetermined System Solver (FOCUSS), and a shrinking strategy is adopted for adjusting the source space during iteration process in FOCUSS. Images are presented with improved spatial resolution and the algorithm effectiveness is verified on simulated data by setting two perturbations in the movement and visual regions of the brain
Keywords
brain; electric impedance imaging; image reconstruction; image resolution; iterative methods; medical image processing; neurophysiology; physiological models; realistic images; recursive estimation; 3-D electrical impedance tomography; EIT image reconstruction; brain; focal underdetermined system solver; four-shell realistic head model; improved spatial resolution; iteration process; recursive algorithm; standardized low resolution electromagnetic tomography algorithm; Brain modeling; Cities and towns; Conductivity measurement; Focusing; Image reconstruction; Image resolution; Magnetic heads; Spatial resolution; Surface reconstruction; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259794
Filename
4461956
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