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Methods to determine the scaling factor in X-ray images for exact preoperative planning in hip surgery

A comparison of existing methods and introduction to a new approach
  • Oliver Gieseler

    Oliver Gieseler is scientific assistant at Center for Sensor Systems (ZESS) working in the field of optical 3D-localization in computer assisted surgery.

    Zentrum für Sensorsysteme, Universität Siegen, Paul-Bonatz-Str. 9–11, 57076 Siegen, Germany

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    , Hubert Roth

    Prof. Dr.-Ing. Hubert Roth is director of the institute for control engineering at University of Siegen and board member of Center for Sensor Systems.

    Institut für Regelungs- und Steuerungstechnik, Universität Siegen, Hölderlinstr. 3, 57076 Siegen, Germany

    and Jürgen Wahrburg

    Dr.-Ing. Jürgen Wahrburg is Akad. Director at the institute of conrol engineering and leads a research group for development of computer and robotic assisted systems for surgical applications.

    Zentrum für Sensorsysteme, Universität Siegen, Paul-Bonatz-Str. 9–11, 57076 Siegen, Germany

Published/Copyright: December 20, 2016

Abstract

This article presents common methods for calculating the scaling factor in X-ray images and reveals their basic technical difficulties, accuracy and error sources. Further, the causes for magnification of patient anatomy in X-ray images are described. Preoperative planning by means of X-ray images, its difficulties, reliability and limitations are also illustrated. Additionally, a new approach is introduced which is based on a stereo camera system used to identify the magnification especially in anterior-posterior pelvis images for hip application, considering the geometry of X-ray apparatus while minimizing errors by foreclosing the well-known central issues of all the conventional methods for the most part.

Zusammenfassung

Dieser Artikel beschreibt herkömmliche Verfahren zur Skalierung von Röntgenbildern, sowie deren grundsätzliche technische Probleme, Genauigkeit und Fehlerquellen. Weiterhin werden die Gründe für die Vergrößerung von Patientenanatomie auf Röntgenbildern beschrieben. Ebenfalls werden die präoperative Planung anhand von Röntgenbildern, ihre Schwierigkeiten, Zuverlässigkeit und Grenzen dargestellt. Zusätzlich wird ein neuer Ansatz vorgestellt, mit dem unter Verwendung eines Stereokamerasystems der Vergrößerungsfaktor von Röntgenbildern, speziell in anterior-posterioren Beckenübersichtsaufnahmen für Hüftanwendungen, mit Hilfe der Geometrie der Röntgengeräte ermittelt werden kann. Hierbei werden Fehler und bekannte Kernprobleme der konventionellen Methoden größtenteils ausgeschlossen und umgangen.

About the authors

Oliver Gieseler

Oliver Gieseler is scientific assistant at Center for Sensor Systems (ZESS) working in the field of optical 3D-localization in computer assisted surgery.

Zentrum für Sensorsysteme, Universität Siegen, Paul-Bonatz-Str. 9–11, 57076 Siegen, Germany

Hubert Roth

Prof. Dr.-Ing. Hubert Roth is director of the institute for control engineering at University of Siegen and board member of Center for Sensor Systems.

Institut für Regelungs- und Steuerungstechnik, Universität Siegen, Hölderlinstr. 3, 57076 Siegen, Germany

Jürgen Wahrburg

Dr.-Ing. Jürgen Wahrburg is Akad. Director at the institute of conrol engineering and leads a research group for development of computer and robotic assisted systems for surgical applications.

Zentrum für Sensorsysteme, Universität Siegen, Paul-Bonatz-Str. 9–11, 57076 Siegen, Germany

Acknowledgement

Part of this work is carried within the framework of the ZIM project KF2383704KJ4 funded by the German Federal Ministry BMWi.

Received: 2016-9-9
Accepted: 2016-11-23
Published Online: 2016-12-20
Published in Print: 2017-1-28

©2016 Walter de Gruyter Berlin/Boston

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