Segmentation and analysis of 3D volume images

Juha Ylä-Jääski; Olaf Kubler

doi:10.1109/ICPR.1988.28411

Segmentation and analysis of 3D volume images

Juha Ylä-Jääski, Olaf Kubler

VTT Technical Research Centre of Finland

Swiss Federal Institute of Technology in Zurich (ETH Zürich)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

An algorithm is presented for the segmentation of volume data acquired in medicine by computer tomography (CT) or magnetic resonance (MR) imaging. The algorithm is based on edge detection by a 3-D implementation of the difference of Gaussians or the Laplace of Gaussians operator followed by an object refinement procedure. This consists of matched filters and/or a decision strategy which is included in a 3-D connected-component labelling procedure. Results from the analysis of segmented CT and MR data are presented utilizing an advanced display facility and quantitative 3-D analysis techniques.

Original language	English
Title of host publication	9th International Conference on Pattern Recognition
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	951-953
ISBN (Print)	0-8186-0878-1
DOIs	https://doi.org/10.1109/ICPR.1988.28411
Publication status	Published - 1988
MoE publication type	A4 Article in a conference publication
Event	9th International Conference on Pattern Recognition - Rome, Italy Duration: 14 Nov 1988 → 17 Nov 1988

Conference

Conference	9th International Conference on Pattern Recognition
Country/Territory	Italy
City	Rome
Period	14/11/88 → 17/11/88

Access to Document

10.1109/ICPR.1988.28411

Cite this

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title = "Segmentation and analysis of 3D volume images",

abstract = "An algorithm is presented for the segmentation of volume data acquired in medicine by computer tomography (CT) or magnetic resonance (MR) imaging. The algorithm is based on edge detection by a 3-D implementation of the difference of Gaussians or the Laplace of Gaussians operator followed by an object refinement procedure. This consists of matched filters and/or a decision strategy which is included in a 3-D connected-component labelling procedure. Results from the analysis of segmented CT and MR data are presented utilizing an advanced display facility and quantitative 3-D analysis techniques.",

author = "Juha Yl{\"a}-J{\"a}{\"a}ski and Olaf Kubler",

year = "1988",

doi = "10.1109/ICPR.1988.28411",

language = "English",

isbn = "0-8186-0878-1",

pages = "951--953",

booktitle = "9th International Conference on Pattern Recognition",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "9th International Conference on Pattern Recognition ; Conference date: 14-11-1988 Through 17-11-1988",

}

TY - GEN

T1 - Segmentation and analysis of 3D volume images

AU - Ylä-Jääski, Juha

AU - Kubler, Olaf

PY - 1988

Y1 - 1988

N2 - An algorithm is presented for the segmentation of volume data acquired in medicine by computer tomography (CT) or magnetic resonance (MR) imaging. The algorithm is based on edge detection by a 3-D implementation of the difference of Gaussians or the Laplace of Gaussians operator followed by an object refinement procedure. This consists of matched filters and/or a decision strategy which is included in a 3-D connected-component labelling procedure. Results from the analysis of segmented CT and MR data are presented utilizing an advanced display facility and quantitative 3-D analysis techniques.

AB - An algorithm is presented for the segmentation of volume data acquired in medicine by computer tomography (CT) or magnetic resonance (MR) imaging. The algorithm is based on edge detection by a 3-D implementation of the difference of Gaussians or the Laplace of Gaussians operator followed by an object refinement procedure. This consists of matched filters and/or a decision strategy which is included in a 3-D connected-component labelling procedure. Results from the analysis of segmented CT and MR data are presented utilizing an advanced display facility and quantitative 3-D analysis techniques.

U2 - 10.1109/ICPR.1988.28411

DO - 10.1109/ICPR.1988.28411

M3 - Conference article in proceedings

SN - 0-8186-0878-1

SP - 951

EP - 953

BT - 9th International Conference on Pattern Recognition

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 9th International Conference on Pattern Recognition

Y2 - 14 November 1988 through 17 November 1988

ER -

Segmentation and analysis of 3D volume images

Abstract

Conference

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