• Corpus ID: 53487505

A Review on Medical Image Registration Techniques

  title={A Review on Medical Image Registration Techniques},
  author={Shadrack Maina Mambo and Karim D Djouani and Yskandar Hamam and Barend J. van Wyk and Patrick Siarry},
  journal={World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering},
  • S. MamboKarim D Djouani P. Siarry
  • Published 15 January 2018
  • Medicine
  • World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering
This paper discusses the current trends in medical image registration techniques and addresses the need to provide a solid theoretical foundation for research endeavours. Methodological analysis and synthesis of quality literature was done, providing a platform for developing a good foundation for research study in this field which is crucial in understanding the existing levels of knowledge. Research on medical image registration techniques assists clinical and medical practitioners in… 

A Comprehensive Study of Medical Image Analysis

The vital goal of this review is to identify the current state of the art of medical image analysis methods as a reference paradigm in order to accelerate the performance of existing methods.

A comparative study of two meta-heuristic algorithms for MRI and CT images registration

A comparative study of particle swarm optimization (PSO) and the grey wolf optimizer (GWO) for registration of a section of the human brain for human brain recognition is presented.

An overview of deep learning methods for image registration with focus on feature-based approaches

A comparative performance analysis of convolutional neural networks that have shown good performance across feature extraction, matching and transformation estimation in featured-based registration is presented.

Image registration of computed tomography of lung infected with COVID-19 using an improved sine cosine algorithm

An improved sine cosine algorithm (ISCA) resulting from the hybridization of the SCA and PSO algorithms to register the CT images of the lung of the people infected by COVID-19 is proposed.

OtoPair: Combining Right and Left Eardrum Otoscopy Images to Improve the Accuracy of Automated Image Analysis

A novel approach, called OtoPair, which uses paired eardrum images together rather than using a single eardrums image to classify them as ‘ normal’ or ‘abnormal’, and increases the accuracy from 78.7% (±0.1%) to 85.8% on a three-fold cross-validation method.

Grey Wolf Optimizer for Multimodal Medical Image Registration

Through the obtained simulation results, it appears that the proposed approach achieves high-resolution and robust registration compared to other methods such as Particle Swarm optimization PSO and sine cosine algorithm (SCA).



A survey of medical image registration - under review

Numerical Methods for Pulmonary Image Registration

This chapter focuses on image registration of a specific human organ, i.e. the lung, which is prone to be lesioned, and describes clinical applications of image registration introducing artificial organs in Simulation-based Education.

Deformable Medical Image Registration: A Survey

This paper attempts to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain, and provides an extensive account of registration techniques in a systematic manner.

Medical image registration: a review

The aim of this paper is to be an introduction to the field, provide knowledge on the work that has been developed and to be a suitable reference for those who are looking for registration methods for a specific application.

Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner]

Some of the theoretical aspects of nonrigid registration and methods for their implementation are discussed, and how common problems in medical imaging, such as motion correction and image segmentation, can be solved using image registration are illustrated.

elastix: A Toolbox for Intensity-Based Medical Image Registration

The software consists of a collection of algorithms that are commonly used to solve medical image registration problems, and allows the user to quickly configure, test, and compare different registration methods for a specific application.

Technology and research developments in carotid image registration

Non-rigid image registration: theory and practice.

The current state of the art of non-rigid registration is discussed to put on-going research in context and to highlight current and future clinical applications that might benefit from this technology.

Assessment of Similarity Measures for Accurate Deformable Image Registration

In the moved phantom study, the mutual information showed significant sensitivity for both of the two distinct sections of the phantom, and showed the best performance among the tested similarity measures.