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A Review on Medical Image Registration as an Optimization Problem.

Guoli Song1,2, Jianda Han1, Yiwen Zhao1

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang110016, China.

Current Medical Imaging Reviews
|August 29, 2017
PubMed
Summary

Medical image registration aligns multiple images to enhance patient diagnosis and treatment. This review summarizes key methods for researchers in this optimization field.

Keywords:
Medical imagemultimodaloptimization problemregistrationregistration assessment

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Area of Science:

  • Medical imaging
  • Computer vision
  • Image analysis

Background:

  • Accurate patient information is crucial for clinical treatment.
  • Medical image registration techniques enhance diagnostic and treatment insights.
  • Image registration serves as a valuable optimization problem for researchers.

Purpose of the Study:

  • To provide a comprehensive reference for image registration research.
  • To summarize various methods within the field of medical image registration.

Main Methods:

  • Image registration involves establishing spatial associations between different images.
  • The core process identifies the spatial relationship and conversion between images.
  • Key steps include geometric transformation, image combination, similarity measurement, optimization, and interpolation.

Main Results:

  • Medical image registration offers richer diagnostic and treatment information.
  • It provides a comprehensive reference for researchers in image registration.

Conclusions:

  • This review consolidates image registration research methods.
  • It serves as a brief reference for researchers in the field of image registration.