DocumentCode
3378947
Title
Application of anatomically constrained minimum norm solution in coronary artery disease (myocardial current imaging)
Author
Hoffmann, Marco ; Nowak, H. ; Kuhnert, H. ; Muller, Sebastian
Volume
5
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
2287
Abstract
The inverse solution of the single equivalent current dipole model obviously fails in the explanation of more complex source structures like a distributed myocardial activation wavefront. For this reason we applied depth normalized minimum norm estimation with anatomical constraints in patients with myocardial infarction and known regions of large myocardial damage. Current density was calculated for several hundred myocardial support points using lead field normalized minimum norm least square estimates and overlayed with 3D-MR-images as color coded surfaces. In 55% of 40 patients/normals investigated, MCI had complete correspondence with the other cardiological findings, in 27% we found partly correspondence and 18% MCI failed to provide correct diagnosis. Myocardial current imaging (MCI) is a new and promising method for assessing of myocardial viability
Keywords
current density; image reconstruction; image segmentation; inverse problems; least mean squares methods; magnetocardiography; medical image processing; 3D-MRI images; MCG reconstruction algorithms; anatomically constrained minimum norm solution; color coded surfaces; coordinate transformation; coronary artery disease; current density; depth normalized minimum norm estimation; distributed myocardial activation wavefront; image segmentation; inverse solution; least square estimates; myocardial current imaging; myocardial infarction; myocardial viability; single equivalent current dipole model; Cardiology; Coils; Coronary arteriosclerosis; Current density; Least squares approximation; Magnetic field measurement; Magnetic shielding; Myocardium; Surface reconstruction; Torso;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.646537
Filename
646537
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