Published July 11, 2023 | Version v1
Poster Open

itk-elastix: Medical image registration in Python [SciPy 2023 Poster]

Authors/Creators

  • 1. Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
  • 2. Medical Computing Group, Kitware, Inc, Carrboro, NC, USA
  • 3. Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands

Description

Image registration plays a vital role in understanding changes that occur in 2D and 3D scientific imaging datasets. Registration involves finding a spatial transformation that aligns one image to another by optimizing relevant image similarity metrics. In this paper, we introduce itk-elastix, a userfriendly Python wrapping of the mature elastix registration toolbox. The open-source tool supports rigid, affine, and B-spline deformable registration, making it versatile for various imaging datasets. By utilizing the modular design of itk-elastix, users can efficiently configure and compare different registration methods, and embed these in image analysis workflows.

The current poster is presented in SciPy 2023 conference.

 

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