Share Email Print

Proceedings Paper

A new gold-standard dataset for 2D/3D image registration evaluation
Author(s): Supriyanto Pawiro; Primoz Markelj; Christelle Gendrin; Michael Figl; Markus Stock; Christoph Bloch; Christoph Weber; Ewald Unger; Iris Nöbauer; Franz Kainberger; Helga Bergmeister; Dietmar Georg; Helmar Bergmann; Wolfgang Birkfellner
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, we propose a new gold standard data set for the validation of 2D/3D image registration algorithms for image guided radiotherapy. A gold standard data set was calculated using a pig head with attached fiducial markers. We used several imaging modalities common in diagnostic imaging or radiotherapy which include 64-slice computed tomography (CT), magnetic resonance imaging (MRI) using T1, T2 and proton density (PD) sequences, and cone beam CT (CBCT) imaging data. Radiographic data were acquired using kilovoltage (kV) and megavoltage (MV) imaging techniques. The image information reflects both anatomy and reliable fiducial marker information, and improves over existing data sets by the level of anatomical detail and image data quality. The markers of three dimensional (3D) and two dimensional (2D) images were segmented using Analyze 9.0 (AnalyzeDirect, Inc) and an in-house software. The projection distance errors (PDE) and the expected target registration errors (TRE) over all the image data sets were found to be less than 1.7 mm and 1.3 mm, respectively. The gold standard data set, obtained with state-of-the-art imaging technology, has the potential to improve the validation of 2D/3D registration algorithms for image guided therapy.

Paper Details

Date Published: 23 February 2010
PDF: 11 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76251V (23 February 2010); doi: 10.1117/12.844488
Show Author Affiliations
Supriyanto Pawiro, Medical Univ. Vienna (Austria)
Primoz Markelj, Univ. of Ljubljana (Slovenia)
Christelle Gendrin, Medical Univ. Vienna (Austria)
Michael Figl, Medical Univ. Vienna (Austria)
Markus Stock, Medical Univ. Vienna (Austria)
Christoph Bloch, Medical Univ. Vienna (Austria)
Christoph Weber, Medical Univ. Vienna (Austria)
Ewald Unger, Medical Univ. Vienna (Austria)
Iris Nöbauer, Medical Univ. Vienna (Austria)
Franz Kainberger, Medical Univ. Vienna (Austria)
Helga Bergmeister, Medical Univ. Vienna (Austria)
Dietmar Georg, Medical Univ. Vienna (Austria)
Helmar Bergmann, Medical Univ. Vienna (Austria)
Wolfgang Birkfellner, Medical Univ. Vienna (Austria)

Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?