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

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

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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",

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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

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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.

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ER -

A Multiresolution Adaptive Approach for Respiratory Motion Modeling

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