A unified image registration framework for ITK

  • Authors:

  • Brian B. Avants;Nicholas J. Tustison;Gang Song;Baohua Wu;Michael Stauffer;Matthew M. McCormick;Hans J. Johnson;James C. Gee

  • Affiliations:

  • Penn Image Computing and Science Lab, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA;Dept. of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA;Penn Image Computing and Science Lab, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA;Penn Image Computing and Science Lab, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA;Penn Image Computing and Science Lab, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA;Department of Psychiatry, The University of Iowa, IA;Kitware, Inc., Clifton Park, NY;Penn Image Computing and Science Lab, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA

  • Venue:
  • WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
  • Year:
  • 2012

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Abstract

Publicly available scientific resources help establish evaluation standards, provide a platform for teaching and may improve reproducibility. Version 4 of the Insight ToolKit ( ITK $^{\text{4}}$) seeks to establish new standards in publicly available image registration methodology. In this work, we provide an overview and preliminary evaluation of the revised toolkit against registration based on the previous major ITK version (3.20). Furthermore, we propose a nomenclature that may be used to discuss registration frameworks via schematic representations. In total, the ITK$^{\text{4}}$ contribution is intended as a structure to support reproducible research practices, will provide a more extensive foundation against which to evaluate new work in image registration and also enable application level programmers a broad suite of tools on which to build.