Name
Title | ||
|---|---|---|
Semiautomatic volume conductor modeling pipeline for imaging the cardiac electrophysiology noninvasively. |
Abstract | ||
|---|---|---|
In this paper we present an approach for extracting patient individual volume conductor models (VCM) using volume data acquired from Magnetic Resonance Imaging (MRI) for computational biology of electrical excitation in the patient's heart. The VCM consists of the compartments chest surface, lung surfaces, the atrial and ventricular myocardium, and the blood masses. For each compartment a segmentation approach with no or little necessity of user interaction was implemented and integrated into a VCM segmentation pipeline to enable the inverse problem of electrocardiography to become clinical applicable. The segmentation pipeline was tested using volume data from ten patients with structurally normal hearts. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11866565_72 | MICCAI |
Keywords | Field | DocType |
cardiac electrophysiology noninvasively,blood masse,vcm segmentation pipeline,segmentation approach,electrical excitation,volume data,magnetic resonance imaging,patient individual volume conductor,segmentation pipeline,semiautomatic volume conductor modeling,computational biology,compartments chest surface,magnetic resonance image,inverse problem | Computer vision,Landmark point,Computer science,Segmentation,Cardiac electrophysiology,Artificial intelligence,Electrocardiography,Conductor,Magnetic resonance imaging | Conference |
Volume | Issue | ISSN |
9 | Pt 1 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-44707-5 | 0 | 0.34 |
References | Authors | |
2 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernhard Pfeifer | 1 | 47 | 10.17 |
| Michael Seger | 2 | 8 | 3.75 |
| Christoph Hintermüller | 3 | 36 | 5.54 |
| Gerald Fischer | 4 | 100 | 24.25 |
| Friedrich Hanser | 5 | 59 | 9.62 |
| Robert Modre | 6 | 49 | 9.50 |
| Hannes Mühlthaler | 7 | 0 | 0.34 |
| Bernhard Tilg | 8 | 92 | 16.57 |