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Evaluation of inverse field solutions with biomedical applications
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Zeitschriftentitel: | COMPEL - The international journal for computation and mathematics in electrical and electronic engineering |
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Personen und Körperschaften: | , , |
In: | COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 20, 2001, 3, S. 665-675 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Emerald
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Schlagwörter: |
author_facet |
Brauer, H. Ziolkowski, M. Haueisen, J. Brauer, H. Ziolkowski, M. Haueisen, J. |
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author |
Brauer, H. Ziolkowski, M. Haueisen, J. |
spellingShingle |
Brauer, H. Ziolkowski, M. Haueisen, J. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering Evaluation of inverse field solutions with biomedical applications Applied Mathematics Electrical and Electronic Engineering Computational Theory and Mathematics Computer Science Applications |
author_sort |
brauer, h. |
spelling |
Brauer, H. Ziolkowski, M. Haueisen, J. 0332-1649 Emerald Applied Mathematics Electrical and Electronic Engineering Computational Theory and Mathematics Computer Science Applications http://dx.doi.org/10.1108/03321640110393635 <jats:p>We applied minimum norm estimations using different regularization techniques to the solution of the biomagnetic inverse field problem. Using magnetic field data measured with a multi‐channel‐SQUID‐sensor‐system we computed reconstruction of the impressed current density distributions which were generated by extended current sources placed inside a human torso phantom. The common inverse techniques usually applied in modern biomedical investigations in bioelectricity or biomagnetism are compared, and their aptitude for reconstruction of 3D current sources in space was evaluated. We analyzed the impact of using magnetic data, electrical data, and combination of both respectively on the localization of an equivalent current dipole (ECD). Finally, we use a visualization tool which enables a comparison of current density reconstruction. The study is, in parts, related to the new TEAM problem No. 31.</jats:p> Evaluation of inverse field solutions with biomedical applications COMPEL - The international journal for computation and mathematics in electrical and electronic engineering |
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10.1108/03321640110393635 |
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2001 |
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Emerald |
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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering |
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title |
Evaluation of inverse field solutions with biomedical applications |
title_unstemmed |
Evaluation of inverse field solutions with biomedical applications |
title_full |
Evaluation of inverse field solutions with biomedical applications |
title_fullStr |
Evaluation of inverse field solutions with biomedical applications |
title_full_unstemmed |
Evaluation of inverse field solutions with biomedical applications |
title_short |
Evaluation of inverse field solutions with biomedical applications |
title_sort |
evaluation of inverse field solutions with biomedical applications |
topic |
Applied Mathematics Electrical and Electronic Engineering Computational Theory and Mathematics Computer Science Applications |
url |
http://dx.doi.org/10.1108/03321640110393635 |
publishDate |
2001 |
physical |
665-675 |
description |
<jats:p>We applied minimum norm estimations using different regularization techniques to the solution of the biomagnetic inverse field problem. Using magnetic field data measured with a multi‐channel‐SQUID‐sensor‐system we computed reconstruction of the impressed current density distributions which were generated by extended current sources placed inside a human torso phantom. The common inverse techniques usually applied in modern biomedical investigations in bioelectricity or biomagnetism are compared, and their aptitude for reconstruction of 3D current sources in space was evaluated. We analyzed the impact of using magnetic data, electrical data, and combination of both respectively on the localization of an equivalent current dipole (ECD). Finally, we use a visualization tool which enables a comparison of current density reconstruction. The study is, in parts, related to the new TEAM problem No. 31.</jats:p> |
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author | Brauer, H., Ziolkowski, M., Haueisen, J. |
author_facet | Brauer, H., Ziolkowski, M., Haueisen, J., Brauer, H., Ziolkowski, M., Haueisen, J. |
author_sort | brauer, h. |
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container_start_page | 665 |
container_title | COMPEL - The international journal for computation and mathematics in electrical and electronic engineering |
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description | <jats:p>We applied minimum norm estimations using different regularization techniques to the solution of the biomagnetic inverse field problem. Using magnetic field data measured with a multi‐channel‐SQUID‐sensor‐system we computed reconstruction of the impressed current density distributions which were generated by extended current sources placed inside a human torso phantom. The common inverse techniques usually applied in modern biomedical investigations in bioelectricity or biomagnetism are compared, and their aptitude for reconstruction of 3D current sources in space was evaluated. We analyzed the impact of using magnetic data, electrical data, and combination of both respectively on the localization of an equivalent current dipole (ECD). Finally, we use a visualization tool which enables a comparison of current density reconstruction. The study is, in parts, related to the new TEAM problem No. 31.</jats:p> |
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id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEwOC8wMzMyMTY0MDExMDM5MzYzNQ |
imprint | Emerald, 2001 |
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series | COMPEL - The international journal for computation and mathematics in electrical and electronic engineering |
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spelling | Brauer, H. Ziolkowski, M. Haueisen, J. 0332-1649 Emerald Applied Mathematics Electrical and Electronic Engineering Computational Theory and Mathematics Computer Science Applications http://dx.doi.org/10.1108/03321640110393635 <jats:p>We applied minimum norm estimations using different regularization techniques to the solution of the biomagnetic inverse field problem. Using magnetic field data measured with a multi‐channel‐SQUID‐sensor‐system we computed reconstruction of the impressed current density distributions which were generated by extended current sources placed inside a human torso phantom. The common inverse techniques usually applied in modern biomedical investigations in bioelectricity or biomagnetism are compared, and their aptitude for reconstruction of 3D current sources in space was evaluated. We analyzed the impact of using magnetic data, electrical data, and combination of both respectively on the localization of an equivalent current dipole (ECD). Finally, we use a visualization tool which enables a comparison of current density reconstruction. The study is, in parts, related to the new TEAM problem No. 31.</jats:p> Evaluation of inverse field solutions with biomedical applications COMPEL - The international journal for computation and mathematics in electrical and electronic engineering |
spellingShingle | Brauer, H., Ziolkowski, M., Haueisen, J., COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Evaluation of inverse field solutions with biomedical applications, Applied Mathematics, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Science Applications |
title | Evaluation of inverse field solutions with biomedical applications |
title_full | Evaluation of inverse field solutions with biomedical applications |
title_fullStr | Evaluation of inverse field solutions with biomedical applications |
title_full_unstemmed | Evaluation of inverse field solutions with biomedical applications |
title_short | Evaluation of inverse field solutions with biomedical applications |
title_sort | evaluation of inverse field solutions with biomedical applications |
title_unstemmed | Evaluation of inverse field solutions with biomedical applications |
topic | Applied Mathematics, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Science Applications |
url | http://dx.doi.org/10.1108/03321640110393635 |