Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image

Lei Chen; Johann Hagenah; Alfred Mertins

doi:10.1007/978-3-642-19335-4_52

Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image

Lei Chen, Johann Hagenah, Alfred Mertins

Abstract

Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson's disease (PD) at a very early state. The TCS image of the mesencephalon shows a distinct hyperechogenic pattern in about 90% PD patients. This pattern is usually manually segmented and the substantia nigra (SN) region can be used as an early PD indicator. However this method is based on manual evaluation of examined images. We propose a texture analysis method using Gabor filters for the early PD risk assessment. The features are based on the local spectrum, which is obtained by a bank of Gabor filters, and the performance of these features is evaluated by feature selection method. The results show that the accuracy of the classification with the feature subset is reaching 92.73%.

Originalsprache	Englisch
Titel	Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck
Redakteure/-innen	Heinz Handels, Jan Ehrhardt, Thomas M. Deserno, Hans-Peter Meinzer, Thomas Tolxdorff
Seitenumfang	5
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Berlin Heidelberg
Erscheinungsdatum	13.03.2011
Seiten	249-253
ISBN (Print)	978-3-642-19334-7
ISBN (elektronisch)	978-3-642-19335-4
DOIs	https://doi.org/10.1007/978-3-642-19335-4_52
Publikationsstatus	Veröffentlicht - 13.03.2011
Veranstaltung	Workshops Bildverarbeitung fur die Medizin 2011 - Lübeck, Deutschland Dauer: 20.03.2011 → 22.03.2011 Konferenznummer: 99531

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Chen, L., Hagenah, J., & Mertins, A. (2011). Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image. in H. Handels, J. Ehrhardt, T. M. Deserno, H-P. Meinzer, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck (S. 249-253). (Informatik aktuell ). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-19335-4_52

Chen, Lei ; Hagenah, Johann ; Mertins, Alfred. / Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image. Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Hrsg. / Heinz Handels ; Jan Ehrhardt ; Thomas M. Deserno ; Hans-Peter Meinzer ; Thomas Tolxdorff. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. S. 249-253 (Informatik aktuell ).

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abstract = "Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson's disease (PD) at a very early state. The TCS image of the mesencephalon shows a distinct hyperechogenic pattern in about 90% PD patients. This pattern is usually manually segmented and the substantia nigra (SN) region can be used as an early PD indicator. However this method is based on manual evaluation of examined images. We propose a texture analysis method using Gabor filters for the early PD risk assessment. The features are based on the local spectrum, which is obtained by a bank of Gabor filters, and the performance of these features is evaluated by feature selection method. The results show that the accuracy of the classification with the feature subset is reaching 92.73%.",

author = "Lei Chen and Johann Hagenah and Alfred Mertins",

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Chen, L, Hagenah, J & Mertins, A 2011, Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image. in H Handels, J Ehrhardt, TM Deserno, H-P Meinzer & T Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Informatik aktuell , Springer Berlin Heidelberg, Berlin, Heidelberg, S. 249-253, Workshops Bildverarbeitung fur die Medizin 2011, Lübeck, Schleswig-Holstein, Deutschland, 20.03.11. https://doi.org/10.1007/978-3-642-19335-4_52

Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image. / Chen, Lei; Hagenah, Johann; Mertins, Alfred.
Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Hrsg. / Heinz Handels; Jan Ehrhardt; Thomas M. Deserno; Hans-Peter Meinzer; Thomas Tolxdorff. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. S. 249-253 (Informatik aktuell ).

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

TY - CHAP

T1 - Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image

AU - Chen, Lei

AU - Hagenah, Johann

AU - Mertins, Alfred

N1 - Conference code: 99531

PY - 2011/3/13

Y1 - 2011/3/13

N2 - Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson's disease (PD) at a very early state. The TCS image of the mesencephalon shows a distinct hyperechogenic pattern in about 90% PD patients. This pattern is usually manually segmented and the substantia nigra (SN) region can be used as an early PD indicator. However this method is based on manual evaluation of examined images. We propose a texture analysis method using Gabor filters for the early PD risk assessment. The features are based on the local spectrum, which is obtained by a bank of Gabor filters, and the performance of these features is evaluated by feature selection method. The results show that the accuracy of the classification with the feature subset is reaching 92.73%.

AB - Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson's disease (PD) at a very early state. The TCS image of the mesencephalon shows a distinct hyperechogenic pattern in about 90% PD patients. This pattern is usually manually segmented and the substantia nigra (SN) region can be used as an early PD indicator. However this method is based on manual evaluation of examined images. We propose a texture analysis method using Gabor filters for the early PD risk assessment. The features are based on the local spectrum, which is obtained by a bank of Gabor filters, and the performance of these features is evaluated by feature selection method. The results show that the accuracy of the classification with the feature subset is reaching 92.73%.

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DO - 10.1007/978-3-642-19335-4_52

M3 - Chapter

SN - 978-3-642-19334-7

T3 - Informatik aktuell

SP - 249

EP - 253

BT - Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck

A2 - Handels, Heinz

A2 - Ehrhardt, Jan

A2 - Deserno, Thomas M.

A2 - Meinzer, Hans-Peter

A2 - Tolxdorff, Thomas

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - Workshops Bildverarbeitung fur die Medizin 2011

Y2 - 20 March 2011 through 22 March 2011

ER -

Chen L, Hagenah J, Mertins A. Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image. in Handels H, Ehrhardt J, Deserno TM, Meinzer H-P, Tolxdorff T, Hrsg., Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Berlin, Heidelberg: Springer Berlin Heidelberg. 2011. S. 249-253. (Informatik aktuell ). doi: 10.1007/978-3-642-19335-4_52

Texture Analysis Using Gabor Filter Based on Transcranial Sonography Image

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