Intensity-based 2D-3D registration using normalized gradient fields

Annkristin Lange; Stefan Heldmann

doi:10.1007/978-3-658-29267-6_33

Intensity-based 2D-3D registration using normalized gradient fields

Annkristin Lange^*, Stefan Heldmann

^*Corresponding author for this work

Institute of Mathematics and Image Computing

Abstract

2D-3D registration is central to image guided minimal invasive endovascular therapies such as the treatment of aneurysms. We propose a novel intensity-based 2D-3D registration method based on digitally reconstructed radiographs and the so-called Normalized Gradient Fields (NGF) as a distance measure. We evaluate our method on publicly available clinical data and compare it to five other state-of-the-art 2D-3D registration methods. The results show that our method achieves better accuracy with comparable results in terms of the number of successful registrations and robustness.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2020
Editors	Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm
Number of pages	6
Publisher	Springer Vieweg, Wiesbaden
Publication date	12.02.2020
Pages	163-168
ISBN (Print)	978-3-658-29266-9
ISBN (Electronic)	978-3-658-29267-6
DOIs	https://doi.org/10.1007/978-3-658-29267-6_33
Publication status	Published - 12.02.2020
Event	Bildverarbeitung für die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen - Berlin, Germany Duration: 15.03.2020 → 17.03.2020 Conference number: 237969

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-658-29267-6_33

Cite this

@inproceedings{76c85423526e4cd48426013394ce6a9b,

title = "Intensity-based 2D-3D registration using normalized gradient fields",

abstract = "2D-3D registration is central to image guided minimal invasive endovascular therapies such as the treatment of aneurysms. We propose a novel intensity-based 2D-3D registration method based on digitally reconstructed radiographs and the so-called Normalized Gradient Fields (NGF) as a distance measure. We evaluate our method on publicly available clinical data and compare it to five other state-of-the-art 2D-3D registration methods. The results show that our method achieves better accuracy with comparable results in terms of the number of successful registrations and robustness.",

author = "Annkristin Lange and Stefan Heldmann",

note = "Funding Information: Acknowledgement. This work was funded by the German Federal Ministry of Education and Research (BMBF, project NavEVAR, funding code: 13GW0228C). Publisher Copyright: {\textcopyright} Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; Bildverarbeitung f{\"u}r die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen<br/> ; Conference date: 15-03-2020 Through 17-03-2020",

year = "2020",

month = feb,

day = "12",

doi = "10.1007/978-3-658-29267-6_33",

language = "English",

isbn = "978-3-658-29266-9",

series = "Informatik aktuell",

publisher = "Springer Vieweg, Wiesbaden",

pages = "163--168",

editor = "Tolxdorff, {Thomas } and {M. Deserno}, {Thomas } and Handels, {Heinz } and Maier, {Andreas } and {H. Maier-Hein}, {Klaus } and Palm, {Christoph }",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2020",

}

Lange, A & Heldmann, S 2020, Intensity-based 2D-3D registration using normalized gradient fields. in T Tolxdorff, T M. Deserno, H Handels, A Maier, K H. Maier-Hein & C Palm (eds), Bildverarbeitung für die Medizin 2020 . Informatik aktuell, Springer Vieweg, Wiesbaden, pp. 163-168, Bildverarbeitung für die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen
, Berlin, Berlin, Germany, 15.03.20. https://doi.org/10.1007/978-3-658-29267-6_33

Intensity-based 2D-3D registration using normalized gradient fields. / Lange, Annkristin; Heldmann, Stefan.
Bildverarbeitung für die Medizin 2020 . ed. / Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm. Springer Vieweg, Wiesbaden, 2020. p. 163-168 (Informatik aktuell).

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

TY - GEN

T1 - Intensity-based 2D-3D registration using normalized gradient fields

AU - Lange, Annkristin

AU - Heldmann, Stefan

N1 - Conference code: 237969

PY - 2020/2/12

Y1 - 2020/2/12

N2 - 2D-3D registration is central to image guided minimal invasive endovascular therapies such as the treatment of aneurysms. We propose a novel intensity-based 2D-3D registration method based on digitally reconstructed radiographs and the so-called Normalized Gradient Fields (NGF) as a distance measure. We evaluate our method on publicly available clinical data and compare it to five other state-of-the-art 2D-3D registration methods. The results show that our method achieves better accuracy with comparable results in terms of the number of successful registrations and robustness.

AB - 2D-3D registration is central to image guided minimal invasive endovascular therapies such as the treatment of aneurysms. We propose a novel intensity-based 2D-3D registration method based on digitally reconstructed radiographs and the so-called Normalized Gradient Fields (NGF) as a distance measure. We evaluate our method on publicly available clinical data and compare it to five other state-of-the-art 2D-3D registration methods. The results show that our method achieves better accuracy with comparable results in terms of the number of successful registrations and robustness.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85083080822&origin=inward&txGid=cc99a5ed9cc1376ffb1d7add24bb111d

U2 - 10.1007/978-3-658-29267-6_33

DO - 10.1007/978-3-658-29267-6_33

M3 - Conference contribution

SN - 978-3-658-29266-9

T3 - Informatik aktuell

SP - 163

EP - 168

BT - Bildverarbeitung für die Medizin 2020

A2 - Tolxdorff, Thomas

A2 - M. Deserno, Thomas

A2 - Handels, Heinz

A2 - Maier, Andreas

A2 - H. Maier-Hein, Klaus

A2 - Palm, Christoph

PB - Springer Vieweg, Wiesbaden

T2 - Bildverarbeitung für die Medizin 2020 - International workshop on Algorithmen - Systeme - Anwendungen<br/>

Y2 - 15 March 2020 through 17 March 2020

ER -

Intensity-based 2D-3D registration using normalized gradient fields

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this