A Multiresolution Adaptive Approach for Respiratory Motion Modeling

Puneet Singla; Tarunraj Singh; Achim Schweikard

doi:10.1109/LSSA.2007.4400875

A Multiresolution Adaptive Approach for Respiratory Motion Modeling

Puneet Singla, Tarunraj Singh, Achim Schweikard

Institut für Robotik und Kognitive Systeme

State University of New York at Buffalo

1 Zitat (Scopus)

Abstract

This paper presents a real-time multiresolution approach for respiratory motion modeling. The proposed methodology utilizes a hybrid approach that combines wellknown linear identification methods with a novel Global-Local Orthogonal Mapping (GLO-MAP) network. Further, adaptation laws are derived using the recent advances in adaptive control to adapt for respiration models in real-time from imagery data. Finally, the effectiveness of the proposed technique is illustrated by testing them on patient's chest motion data captured by imagery data of external markers.

Originalsprache	Englisch
Titel	2007 IEEE/NIH Life Science Systems and Applications Workshop
Seitenumfang	4
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	08.09.2008
Seiten	23-26
Aufsatznummer	4400875
ISBN (Print)	978-1-4244-1812-1, 978-1-4244-1813-8
DOIs	https://doi.org/10.1109/LSSA.2007.4400875
Publikationsstatus	Veröffentlicht - 08.09.2008
Veranstaltung	2007 IEEE/NIH Life Science Systems and Applications Workshop - Bethesda, USA / Vereinigte Staaten Dauer: 08.11.2007 → 09.11.2007 Konferenznummer: 73187

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 9 – Industrie, Innovation und Infrastruktur

Dokumente

10.1109/LSSA.2007.4400875

Weitere Links

https://www.scopus.com/pages/publications/50849089928

Zitieren

@inproceedings{eecaf142cec942959cffa9f4cb06063a,

title = "A Multiresolution Adaptive Approach for Respiratory Motion Modeling",

abstract = "This paper presents a real-time multiresolution approach for respiratory motion modeling. The proposed methodology utilizes a hybrid approach that combines wellknown linear identification methods with a novel Global-Local Orthogonal Mapping (GLO-MAP) network. Further, adaptation laws are derived using the recent advances in adaptive control to adapt for respiration models in real-time from imagery data. Finally, the effectiveness of the proposed technique is illustrated by testing them on patient's chest motion data captured by imagery data of external markers.",

author = "Puneet Singla and Tarunraj Singh and Achim Schweikard",

year = "2008",

month = sep,

day = "8",

doi = "10.1109/LSSA.2007.4400875",

language = "English",

isbn = "978-1-4244-1812-1",

series = "IEEE Proceedings",

publisher = "IEEE",

pages = "23--26",

booktitle = "2007 IEEE/NIH Life Science Systems and Applications Workshop",

note = "2007 IEEE/NIH Life Science Systems and Applications Workshop , LISA 2007 ; Conference date: 08-11-2007 Through 09-11-2007",

}

Singla, P, Singh, T & Schweikard, A 2008, A Multiresolution Adaptive Approach for Respiratory Motion Modeling. in 2007 IEEE/NIH Life Science Systems and Applications Workshop., 4400875, IEEE Proceedings, IEEE, S. 23-26, 2007 IEEE/NIH Life Science Systems and Applications Workshop , Bethesda, Maryland, USA / Vereinigte Staaten, 08.11.07. https://doi.org/10.1109/LSSA.2007.4400875

TY - GEN

T1 - A Multiresolution Adaptive Approach for Respiratory Motion Modeling

AU - Singla, Puneet

AU - Singh, Tarunraj

AU - Schweikard, Achim

N1 - Conference code: 73187

PY - 2008/9/8

Y1 - 2008/9/8

N2 - This paper presents a real-time multiresolution approach for respiratory motion modeling. The proposed methodology utilizes a hybrid approach that combines wellknown linear identification methods with a novel Global-Local Orthogonal Mapping (GLO-MAP) network. Further, adaptation laws are derived using the recent advances in adaptive control to adapt for respiration models in real-time from imagery data. Finally, the effectiveness of the proposed technique is illustrated by testing them on patient's chest motion data captured by imagery data of external markers.

AB - This paper presents a real-time multiresolution approach for respiratory motion modeling. The proposed methodology utilizes a hybrid approach that combines wellknown linear identification methods with a novel Global-Local Orthogonal Mapping (GLO-MAP) network. Further, adaptation laws are derived using the recent advances in adaptive control to adapt for respiration models in real-time from imagery data. Finally, the effectiveness of the proposed technique is illustrated by testing them on patient's chest motion data captured by imagery data of external markers.

UR - https://www.scopus.com/pages/publications/50849089928

U2 - 10.1109/LSSA.2007.4400875

DO - 10.1109/LSSA.2007.4400875

M3 - Conference contribution

SN - 978-1-4244-1812-1

SN - 978-1-4244-1813-8

T3 - IEEE Proceedings

SP - 23

EP - 26

BT - 2007 IEEE/NIH Life Science Systems and Applications Workshop

PB - IEEE

T2 - 2007 IEEE/NIH Life Science Systems and Applications Workshop

Y2 - 8 November 2007 through 9 November 2007

ER -

A Multiresolution Adaptive Approach for Respiratory Motion Modeling

Abstract

UN SDGs

Dokumente

Weitere Links

Fingerprint

Zitieren