Towards Automated OCT-based Identification of White Brain Matter

Lukas Ramrath; Ulrich G. Hofmann; Gereon Huettmann; Andreas Moser; Achim Schweikard

doi:10.1007/978-3-540-71091-2_83

Towards Automated OCT-based Identification of White Brain Matter

Lukas Ramrath, Ulrich G. Hofmann, Gereon Huettmann, Andreas Moser, Achim Schweikard

Abstract

A novel model-based identification of white brain matter in OCT A-scans is proposed. Based on nonlinear energy operators used in the classification of neural activity, candidates for white matter structures are extracted from a baseline-corrected signal. Validation of candidates is done by evaluating the correspondence to a simplified intensity model which is parametrized beforehand. Results for identification of white matter in rat brain in vitro show the capability of the proposed algorithm.

Originalsprache	Englisch
Titel	Bildverarbeitung für die Medizin 2007
Redakteure/-innen	Alexander Horsch, Thomas M. Deserno, Heinz Handels, Hans-Peter Meinzer, Thomas Tolxdorff
Seitenumfang	5
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Berlin Heidelberg
Erscheinungsdatum	2007
Seiten	414-418
ISBN (Print)	978-3-540-71090-5
ISBN (elektronisch)	978-3-540-71091-2
DOIs	https://doi.org/10.1007/978-3-540-71091-2_83
Publikationsstatus	Veröffentlicht - 2007
Veranstaltung	Workshop on Bildverarbeitung fur die Medizin 2007 - Munich, Deutschland Dauer: 25.03.2007 → 27.03.2007 Konferenznummer: 97564

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
SDG 10 – Weniger Ungleichheiten

Dokumente

10.1007/978-3-540-71091-2_83

Weitere Links

https://www.scopus.com/pages/publications/84879969823

Zitieren

Ramrath, L., Hofmann, U. G., Huettmann, G., Moser, A., & Schweikard, A. (2007). Towards Automated OCT-based Identification of White Brain Matter. in A. Horsch, T. M. Deserno, H. Handels, H.-P. Meinzer, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2007 (S. 414-418). ( Informatik aktuell). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-71091-2_83

@inproceedings{7f6e9ee18f4d412ea4bfac1417586b28,

title = "Towards Automated OCT-based Identification of White Brain Matter",

abstract = "A novel model-based identification of white brain matter in OCT A-scans is proposed. Based on nonlinear energy operators used in the classification of neural activity, candidates for white matter structures are extracted from a baseline-corrected signal. Validation of candidates is done by evaluating the correspondence to a simplified intensity model which is parametrized beforehand. Results for identification of white matter in rat brain in vitro show the capability of the proposed algorithm.",

author = "Lukas Ramrath and Hofmann, \{Ulrich G.\} and Gereon Huettmann and Andreas Moser and Achim Schweikard",

year = "2007",

doi = "10.1007/978-3-540-71091-2\_83",

language = "English",

isbn = "978-3-540-71090-5",

series = " Informatik aktuell",

publisher = "Springer Berlin Heidelberg",

pages = "414--418",

editor = "Alexander Horsch and Deserno, \{Thomas M.\} and Heinz Handels and Hans-Peter Meinzer and Thomas Tolxdorff",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2007",

note = "Workshop on Bildverarbeitung fur die Medizin 2007, BVM 2007 ; Conference date: 25-03-2007 Through 27-03-2007",

}

Ramrath, L, Hofmann, UG, Huettmann, G , Moser, A & Schweikard, A 2007, Towards Automated OCT-based Identification of White Brain Matter. in A Horsch, TM Deserno, H Handels, H-P Meinzer & T Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2007. Informatik aktuell, Springer Berlin Heidelberg, Berlin, Heidelberg, S. 414-418, Workshop on Bildverarbeitung fur die Medizin 2007, Munich, Bayern, Deutschland, 25.03.07. https://doi.org/10.1007/978-3-540-71091-2_83

Towards Automated OCT-based Identification of White Brain Matter. / Ramrath, Lukas; Hofmann, Ulrich G.; Huettmann, Gereon et al.
Bildverarbeitung für die Medizin 2007. Hrsg. / Alexander Horsch; Thomas M. Deserno; Heinz Handels; Hans-Peter Meinzer; Thomas Tolxdorff. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. S. 414-418 ( Informatik aktuell).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Towards Automated OCT-based Identification of White Brain Matter

AU - Ramrath, Lukas

AU - Hofmann, Ulrich G.

AU - Huettmann, Gereon

AU - Moser, Andreas

AU - Schweikard, Achim

N1 - Conference code: 97564

PY - 2007

Y1 - 2007

N2 - A novel model-based identification of white brain matter in OCT A-scans is proposed. Based on nonlinear energy operators used in the classification of neural activity, candidates for white matter structures are extracted from a baseline-corrected signal. Validation of candidates is done by evaluating the correspondence to a simplified intensity model which is parametrized beforehand. Results for identification of white matter in rat brain in vitro show the capability of the proposed algorithm.

AB - A novel model-based identification of white brain matter in OCT A-scans is proposed. Based on nonlinear energy operators used in the classification of neural activity, candidates for white matter structures are extracted from a baseline-corrected signal. Validation of candidates is done by evaluating the correspondence to a simplified intensity model which is parametrized beforehand. Results for identification of white matter in rat brain in vitro show the capability of the proposed algorithm.

UR - https://www.scopus.com/pages/publications/84879969823

U2 - 10.1007/978-3-540-71091-2_83

DO - 10.1007/978-3-540-71091-2_83

M3 - Conference contribution

SN - 978-3-540-71090-5

T3 - Informatik aktuell

SP - 414

EP - 418

BT - Bildverarbeitung für die Medizin 2007

A2 - Horsch, Alexander

A2 - Deserno, Thomas M.

A2 - Handels, Heinz

A2 - Meinzer, Hans-Peter

A2 - Tolxdorff, Thomas

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - Workshop on Bildverarbeitung fur die Medizin 2007

Y2 - 25 March 2007 through 27 March 2007

ER -

Towards Automated OCT-based Identification of White Brain Matter

Abstract

UN SDGs

Dokumente

Weitere Links

Fingerprint

Zitieren