2D/3D registration of micro-CT data to multi-view photographs based on a 3D distance map

  • Authors:
  • M. H. Wildeman;M. Baiker;J. H. C. Reiber;C W. G. M. Löwik;M J. T. Reinders;B. P. F. Lelieveldt

  • Affiliations:
  • Inf. and Comm. Theory Group, Department of Mediamatics, Delft Technical University, The Netherlands and Division of Image Processing, Department of Radiology, Leiden University Medical Center, The ...;Division of Image Processing, Department of Radiology, Leiden University Medical Center, The Netherlands;Division of Image Processing, Department of Radiology, Leiden University Medical Center, The Netherlands;Department of Endocrinology, Leiden University Medical Center, The Netherlands;Inf. and Comm. Theory Group, Department of Mediamatics, Delft Technical University, The Netherlands;Division of Image Processing, Department of Radiology, Leiden University Medical Center, The Netherlands

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this work we present a method for registration of a CT-derived mouse skin surface to two or more 2D, geometrically calibrated, photographs of the same animal using a similarity transformation model. We show that by using a 3D distance map, which is reconstructed from the animal skin silhouettes in the 2D photographs, and by penalizing large angle differences between distance map gradients and CT-based skin surface normals, we are able to construct a registration criterion that is robust to silhouette outliers and yields accurate results for synthetic and real data (mean skin surface distance 0.12mm and 1.35mm respectively).