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A Review on Medical Image Registration as an Optimization Problem

[ Vol. 13 , Issue. 3 ]

Author(s):

Guoli Song, Jianda Han, Yiwen Zhao, Zheng Wang and Huibin Du   Pages 274 - 283 ( 10 )

Abstract:


Objective: In the course of clinical treatment, several medical media are required by a physician in order to provide accurate and complete information about a patient. Medical image registration techniques can provide a richer diagnosis and treatment information to doctors and to provide a comprehensive reference source for the researchers involved in image registration as an optimization problem.

Methods: The essence of image registration is associating two or more different images spatial association, and getting the translation of their spatial relationship. For medical image registration, its process is not absolute. Its core purpose is finding the conversion relationship between different images.

Result: The major step of image registration includes the change of geometrical dimensions, and change of the image of the combination, image similarity measure, iterative optimization and interpolation process.

Conclusion: The contribution of this review is sort of related image registration research methods, can provide a brief reference for researchers about image registration.

Keywords:

Medical image, multimodal, optimization problem, registration assessment, registration.

Affiliation:

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, University of Chinese Academy of Sciences, Beijing 100049

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