A Scale-Space Approach for Image Registration of Vessel Structures

Stefan Heldmann; Nils Papenberg

doi:10.1007/978-3-540-93860-6_28

A Scale-Space Approach for Image Registration of Vessel Structures

Abstract

We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morphological and Gaussian scale-space. Similar to a multi-level framework, we solve a sequence of registration problems on several scale-space levels using a standard variational approach for non-liner volumetric image registration. The overall idea is to avoid locally ambiguous mappings between parts of the images by removing morphological details but also finding a global optimal solution by spreading remaining local information using Gaussian scaling. We successfully tested our method on registration of 3D CT and ultrasound images of hepatic vessels.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2009
Editors	Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff
Number of pages	5
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	01.03.2009
Pages	137-141
ISBN (Print)	978-3-540-93859-0
ISBN (Electronic)	978-3-540-93860-6
DOIs	https://doi.org/10.1007/978-3-540-93860-6_28
Publication status	Published - 01.03.2009
Event	Workshops Bildverarbeitung fur die Medizin 2009 - Heidelberg, Germany Duration: 22.03.2009 → 25.03.2009 Conference number: 97568

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10.1007/978-3-540-93860-6_28

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title = "A Scale-Space Approach for Image Registration of Vessel Structures",

abstract = "We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morphological and Gaussian scale-space. Similar to a multi-level framework, we solve a sequence of registration problems on several scale-space levels using a standard variational approach for non-liner volumetric image registration. The overall idea is to avoid locally ambiguous mappings between parts of the images by removing morphological details but also finding a global optimal solution by spreading remaining local information using Gaussian scaling. We successfully tested our method on registration of 3D CT and ultrasound images of hepatic vessels.",

author = "Stefan Heldmann and Nils Papenberg",

year = "2009",

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doi = "10.1007/978-3-540-93860-6\_28",

language = "English",

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series = "Informatik aktuell",

publisher = "Springer Berlin Heidelberg",

pages = "137--141",

editor = "Hans-Peter Meinzer and Deserno, \{Thomas Martin\} and Heinz Handels and Thomas Tolxdorff",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2009",

note = "Workshops Bildverarbeitung fur die Medizin 2009 , BVM 2009 ; Conference date: 22-03-2009 Through 25-03-2009",

}

Heldmann, S & Papenberg, N 2009, A Scale-Space Approach for Image Registration of Vessel Structures. in H-P Meinzer, TM Deserno, H Handels & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2009. Informatik aktuell, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 137-141, Workshops Bildverarbeitung fur die Medizin 2009 , Heidelberg, Baden-Württemberg, Germany, 22.03.09. https://doi.org/10.1007/978-3-540-93860-6_28

A Scale-Space Approach for Image Registration of Vessel Structures. / Heldmann, Stefan ; Papenberg, Nils.
Bildverarbeitung für die Medizin 2009. ed. / Hans-Peter Meinzer; Thomas Martin Deserno; Heinz Handels; Thomas Tolxdorff. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. p. 137-141 (Informatik aktuell).

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

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AU - Heldmann, Stefan

AU - Papenberg, Nils

N1 - Conference code: 97568

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N2 - We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morphological and Gaussian scale-space. Similar to a multi-level framework, we solve a sequence of registration problems on several scale-space levels using a standard variational approach for non-liner volumetric image registration. The overall idea is to avoid locally ambiguous mappings between parts of the images by removing morphological details but also finding a global optimal solution by spreading remaining local information using Gaussian scaling. We successfully tested our method on registration of 3D CT and ultrasound images of hepatic vessels.

AB - We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morphological and Gaussian scale-space. Similar to a multi-level framework, we solve a sequence of registration problems on several scale-space levels using a standard variational approach for non-liner volumetric image registration. The overall idea is to avoid locally ambiguous mappings between parts of the images by removing morphological details but also finding a global optimal solution by spreading remaining local information using Gaussian scaling. We successfully tested our method on registration of 3D CT and ultrasound images of hepatic vessels.

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U2 - 10.1007/978-3-540-93860-6_28

DO - 10.1007/978-3-540-93860-6_28

M3 - Conference contribution

SN - 978-3-540-93859-0

T3 - Informatik aktuell

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BT - Bildverarbeitung für die Medizin 2009

A2 - Meinzer, Hans-Peter

A2 - Deserno, Thomas Martin

A2 - Handels, Heinz

A2 - Tolxdorff, Thomas

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - Workshops Bildverarbeitung fur die Medizin 2009

Y2 - 22 March 2009 through 25 March 2009

ER -

A Scale-Space Approach for Image Registration of Vessel Structures

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