Improved automatic centerline tracing for dendritic structures

David Jimenez; Manos Papadakis; Demetrio Labate; Ioannis A. Kakadiaris

doi:10.1109/ISBI.2013.6556658

Improved automatic centerline tracing for dendritic structures

David Jimenez, Manos Papadakis, Demetrio Labate, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

Centerline tracing of dendritic structures in confocal images of neurons is an essential tool for the construction of a geometric representation of a neuronal network. In this paper, we propose a novel algorithm (ORION 2) for centerline extraction that is both highly accurate and computationally efficient. The main novelty of the proposed method is the use of a small set of Multiscale Isotropic Laplacian filters for a fast and efficient binarization of the dendritic structure. The performance of this algorithm, which is validated using datasets from DIADEM is shown to be very competitive against other state-of-the-art algorithms.

Original language	English (US)
Title of host publication	ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Pages	1050-1053
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2013.6556658
State	Published - 2013
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States Duration: Apr 7 2013 → Apr 11 2013

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/Territory	United States
City	San Francisco, CA
Period	4/7/13 → 4/11/13

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2013.6556658

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Improved automatic centerline tracing for dendritic structures. / Jimenez, David; Papadakis, Manos; Labate, Demetrio et al.
ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 1050-1053 6556658 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jimenez, D, Papadakis, M, Labate, D & Kakadiaris, IA 2013, Improved automatic centerline tracing for dendritic structures. in ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro., 6556658, Proceedings - International Symposium on Biomedical Imaging, pp. 1050-1053, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 4/7/13. https://doi.org/10.1109/ISBI.2013.6556658

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title = "Improved automatic centerline tracing for dendritic structures",

abstract = "Centerline tracing of dendritic structures in confocal images of neurons is an essential tool for the construction of a geometric representation of a neuronal network. In this paper, we propose a novel algorithm (ORION 2) for centerline extraction that is both highly accurate and computationally efficient. The main novelty of the proposed method is the use of a small set of Multiscale Isotropic Laplacian filters for a fast and efficient binarization of the dendritic structure. The performance of this algorithm, which is validated using datasets from DIADEM is shown to be very competitive against other state-of-the-art algorithms.",

author = "David Jimenez and Manos Papadakis and Demetrio Labate and Kakadiaris, {Ioannis A.}",

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N2 - Centerline tracing of dendritic structures in confocal images of neurons is an essential tool for the construction of a geometric representation of a neuronal network. In this paper, we propose a novel algorithm (ORION 2) for centerline extraction that is both highly accurate and computationally efficient. The main novelty of the proposed method is the use of a small set of Multiscale Isotropic Laplacian filters for a fast and efficient binarization of the dendritic structure. The performance of this algorithm, which is validated using datasets from DIADEM is shown to be very competitive against other state-of-the-art algorithms.

AB - Centerline tracing of dendritic structures in confocal images of neurons is an essential tool for the construction of a geometric representation of a neuronal network. In this paper, we propose a novel algorithm (ORION 2) for centerline extraction that is both highly accurate and computationally efficient. The main novelty of the proposed method is the use of a small set of Multiscale Isotropic Laplacian filters for a fast and efficient binarization of the dendritic structure. The performance of this algorithm, which is validated using datasets from DIADEM is shown to be very competitive against other state-of-the-art algorithms.

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ER -

Improved automatic centerline tracing for dendritic structures

Abstract

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ASJC Scopus subject areas

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