Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)

Stephanie Häger; Annkristin Lange; Stefan Heldmann; Jan Modersitzki; Andreas Petersik; Manuel Schröder; Heiko Gottschling; Thomas Lieth; Erich Zähringer; Jan Hendrik Moltz

Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)

Stephanie Häger^*, Annkristin Lange, Stefan Heldmann, Jan Modersitzki, Andreas Petersik, Manuel Schröder, Heiko Gottschling, Thomas Lieth, Erich Zähringer, Jan Hendrik Moltz

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Mathematische Methoden der Bildverarbeitung

Abstract

In image-guided orthopedic procedures, 2D-3D registration is an essential tool to align intra-operative 2D X-ray images with pre-operative 3D CT data. Since this is a non-convex problem, appropriate initialization is important. Here,we introduceRobIn, a robust and solely intensity-based initialization method for intervention support for pelvic fractures. Key to RobIn’s robustness is the focus on the bony pelvis region in the 2D X-ray images, which is determined by automatic segmentation. First validation studies on simulated X-rays demonstrate that RobIn successfully retrieves ground truth in about 99.7% of the cases.

Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 05.04.2022
Veranstaltung	Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing - Heidelberg, Heidelberg, Deutschland Dauer: 26.06.2022 → 28.06.2022

Tagung, Konferenz, Kongress

Tagung, Konferenz, Kongress	Bildverarbeitung für die Medizin 2022
Kurztitel	BVM 2022
Land/Gebiet	Deutschland
Ort	Heidelberg
Zeitraum	26.06.22 → 28.06.22

UN SDGs

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title = "Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)",

abstract = "In image-guided orthopedic procedures, 2D-3D registration is an essential tool to align intra-operative 2D X-ray images with pre-operative 3D CT data. Since this is a non-convex problem, appropriate initialization is important. Here,we introduceRobIn, a robust and solely intensity-based initialization method for intervention support for pelvic fractures. Key to RobIn{\textquoteright}s robustness is the focus on the bony pelvis region in the 2D X-ray images, which is determined by automatic segmentation. First validation studies on simulated X-rays demonstrate that RobIn successfully retrieves ground truth in about 99.7% of the cases.",

author = "Stephanie H{\"a}ger and Annkristin Lange and Stefan Heldmann and Jan Modersitzki and Andreas Petersik and Manuel Schr{\"o}der and Heiko Gottschling and Thomas Lieth and Erich Z{\"a}hringer and Moltz, {Jan Hendrik}",

year = "2022",

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note = "Bildverarbeitung f{\"u}r die Medizin 2022 ; Conference date: 26-06-2022 Through 28-06-2022",

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T1 - Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)

AU - Häger, Stephanie

AU - Lange, Annkristin

AU - Heldmann, Stefan

AU - Modersitzki, Jan

AU - Petersik, Andreas

AU - Schröder, Manuel

AU - Gottschling, Heiko

AU - Lieth, Thomas

AU - Zähringer, Erich

AU - Moltz, Jan Hendrik

PY - 2022/4/5

Y1 - 2022/4/5

N2 - In image-guided orthopedic procedures, 2D-3D registration is an essential tool to align intra-operative 2D X-ray images with pre-operative 3D CT data. Since this is a non-convex problem, appropriate initialization is important. Here,we introduceRobIn, a robust and solely intensity-based initialization method for intervention support for pelvic fractures. Key to RobIn’s robustness is the focus on the bony pelvis region in the 2D X-ray images, which is determined by automatic segmentation. First validation studies on simulated X-rays demonstrate that RobIn successfully retrieves ground truth in about 99.7% of the cases.

AB - In image-guided orthopedic procedures, 2D-3D registration is an essential tool to align intra-operative 2D X-ray images with pre-operative 3D CT data. Since this is a non-convex problem, appropriate initialization is important. Here,we introduceRobIn, a robust and solely intensity-based initialization method for intervention support for pelvic fractures. Key to RobIn’s robustness is the focus on the bony pelvis region in the 2D X-ray images, which is determined by automatic segmentation. First validation studies on simulated X-rays demonstrate that RobIn successfully retrieves ground truth in about 99.7% of the cases.

M3 - Conference Papers

T2 - Bildverarbeitung für die Medizin 2022

Y2 - 26 June 2022 through 28 June 2022

ER -