Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images

Nils Daniel Forkert; Dennis Säring; Karolin Wenzel; Till Illies; Jens Fiehler; Heinz Handels

doi:10.3233/978-1-60750-044-5-816

Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images

Nils Daniel Forkert, Dennis Säring, Karolin Wenzel, Till Illies, Jens Fiehler, Heinz Handels

Institute of Medical Informatics

University Hospital Hamburg-Eppendorf

Abstract

In this paper an automatic fuzzy based method for the extraction of the cerebrovascular system from 3D Time-of-Flight (TOF) MRA image sequences is presented. In order to exclude non-brain tissue an automatic skull stripping method is applied in a preprocessing step. Based on the TOF images vesselness and maximum parameter images are computed first. These parameter images are then combined with the TOF sequence using a fuzzy inference. The resulting fuzzy image offers an improved enhancement of small as well as malformed vessels against the remaining brain. Finally, the fuzzy-connectedness approach is used to extract the vascular system. A first evaluation showed that the fuzzy-based method proposed performs better than a state of the art method and yields results in the range of the inter-observer variation.

Original language	English
Title of host publication	Ebook: Medical Informatics in a United and Healthy Europe
Number of pages	5
Volume	150
Publisher	IOS Press
Publication date	01.01.2009
Pages	816-20
ISBN (Print)	978-1-60750-044-5
ISBN (Electronic)	978-1-60750-456-6
DOIs	https://doi.org/10.3233/978-1-60750-044-5-816
Publication status	Published - 01.01.2009
Event	22nd International Conference on Medical Informatics Europe - Sarajevo, Bosnia and Herzegovina Duration: 30.08.2009 → 02.09.2009

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title = "Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images",

abstract = "In this paper an automatic fuzzy based method for the extraction of the cerebrovascular system from 3D Time-of-Flight (TOF) MRA image sequences is presented. In order to exclude non-brain tissue an automatic skull stripping method is applied in a preprocessing step. Based on the TOF images vesselness and maximum parameter images are computed first. These parameter images are then combined with the TOF sequence using a fuzzy inference. The resulting fuzzy image offers an improved enhancement of small as well as malformed vessels against the remaining brain. Finally, the fuzzy-connectedness approach is used to extract the vascular system. A first evaluation showed that the fuzzy-based method proposed performs better than a state of the art method and yields results in the range of the inter-observer variation.",

author = "Forkert, {Nils Daniel} and Dennis S{\"a}ring and Karolin Wenzel and Till Illies and Jens Fiehler and Heinz Handels",

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Forkert, ND, Säring, D, Wenzel, K, Illies, T, Fiehler, J & Handels, H 2009, Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images. in Ebook: Medical Informatics in a United and Healthy Europe. vol. 150, Studies in Health Technology and Informatics, IOS Press, pp. 816-20, 22nd International Conference on Medical Informatics Europe , Sarajevo, Bosnia and Herzegovina, 30.08.09. https://doi.org/10.3233/978-1-60750-044-5-816

Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images. / Forkert, Nils Daniel; Säring, Dennis; Wenzel, Karolin et al.
Ebook: Medical Informatics in a United and Healthy Europe. Vol. 150 IOS Press, 2009. p. 816-20 (Studies in Health Technology and Informatics).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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T1 - Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images

AU - Forkert, Nils Daniel

AU - Säring, Dennis

AU - Wenzel, Karolin

AU - Illies, Till

AU - Fiehler, Jens

AU - Handels, Heinz

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N2 - In this paper an automatic fuzzy based method for the extraction of the cerebrovascular system from 3D Time-of-Flight (TOF) MRA image sequences is presented. In order to exclude non-brain tissue an automatic skull stripping method is applied in a preprocessing step. Based on the TOF images vesselness and maximum parameter images are computed first. These parameter images are then combined with the TOF sequence using a fuzzy inference. The resulting fuzzy image offers an improved enhancement of small as well as malformed vessels against the remaining brain. Finally, the fuzzy-connectedness approach is used to extract the vascular system. A first evaluation showed that the fuzzy-based method proposed performs better than a state of the art method and yields results in the range of the inter-observer variation.

AB - In this paper an automatic fuzzy based method for the extraction of the cerebrovascular system from 3D Time-of-Flight (TOF) MRA image sequences is presented. In order to exclude non-brain tissue an automatic skull stripping method is applied in a preprocessing step. Based on the TOF images vesselness and maximum parameter images are computed first. These parameter images are then combined with the TOF sequence using a fuzzy inference. The resulting fuzzy image offers an improved enhancement of small as well as malformed vessels against the remaining brain. Finally, the fuzzy-connectedness approach is used to extract the vascular system. A first evaluation showed that the fuzzy-based method proposed performs better than a state of the art method and yields results in the range of the inter-observer variation.

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M3 - Conference contribution

SN - 978-1-60750-044-5

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T3 - Studies in Health Technology and Informatics

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EP - 820

BT - Ebook: Medical Informatics in a United and Healthy Europe

PB - IOS Press

T2 - 22nd International Conference on Medical Informatics Europe

Y2 - 30 August 2009 through 2 September 2009

ER -

Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images

Abstract

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