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Deformable medical image registration: a survey.

Aristeidis Sotiras1, Christos Davatzikos, Nikos Paragios

  • 1Section of Biomedical Image Analysis, Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA. aristieidis.sotiras@uphs.upenn.edu

IEEE Transactions on Medical Imaging
|June 7, 2013
PubMed
Summary

This paper overviews deformable image registration methods, focusing on recent advances in medical imaging. It systematically reviews techniques for multi-modality fusion, longitudinal studies, and population modeling.

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Area of Science:

  • Medical Image Processing
  • Computer Vision
  • Radiology

Background:

  • Deformable image registration is crucial for medical image analysis.
  • Key applications include fusing multi-modality images, analyzing longitudinal data, and creating statistical atlases.
  • Understanding anatomical variability is essential for diagnosis and treatment planning.

Purpose of the Study:

  • To provide a comprehensive overview of deformable image registration methods.
  • To highlight recent advancements and techniques specifically applied to medical images.
  • To systematically present and analyze the core components of these registration methods.

Main Methods:

  • Identification and independent study of main components of image registration methods.

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  • Systematic review and presentation of the most recent techniques.
  • Focus on methods applicable to medical imaging.

    • Main Results:

    • An extensive account of deformable registration techniques is provided.
    • Recent advances in the field are systematically presented.
    • The paper offers a structured understanding of image registration components.

    Conclusions:

    • The study offers a systematic and in-depth review of deformable image registration.
    • It emphasizes recent techniques and their applications in medical imaging.
    • This work serves as a valuable resource for researchers in the field.