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Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration [chapter]

Alexis Roche, Grégoire Malandain, Nicholas Ayache, Sylvain Prima
1999 Lecture Notes in Computer Science  
While intensity-based similarity measures are increasingly used for medical image registration, they often rely on implicit assumptions regarding the physics of imaging.  ...  The motivation of this paper is to determine what are the assumptions corresponding to a number of popular similarity measures in order to better understand their use, and finally help choosing the one  ...  Acknowledgments The images were provided by ISM, Salzburg, Austria, for the US datasets, and the Max Planck Institute for Psychiatry, AG-NMR, Munich, Germany, for the MR datasets, as part of the EC-funded  ... 
doi:10.1007/10704282_60 fatcat:b42ptawaszevfhdgv4v5twbyte

A Review On Medical Image Registration Techniques

Shadrack Mambo, Karim Djouani, Yskandar Hamam, Barend Van Wyk, Patrick Siarry
2018 Zenodo  
This paper discusses the current trends in medical image registration techniques and addresses the need to provide a solid theoretical foundation for research endeavours.  ...  Research on medical image registration techniques assists clinical and medical practitioners in diagnosis of tumours and lesion in anatomical organs, thereby enhancing fast and accurate curative treatment  ...  ACKNOWLEDGEMENT The authors of this paper gratefully appreciate the contribution of Tshwane University of Technology (TUT) and University Paris Est-Creteil (UPEC) for providing all the relevant and necessary  ... 
doi:10.5281/zenodo.1316613 fatcat:o3jbmsoxprfsrkrmtgng3f536e

A survey of GPU-based medical image computing techniques

Lin Shi, Wen Liu, Heye Zhang, Yongming Xie, Defeng Wang
2012 Quantitative Imaging in Medicine and Surgery  
The major purpose of this survey is to provide a comprehensive reference source for the starters or researchers involved in GPU-based medical image processing.  ...  computing platform for computationally expensive and demanding tasks in a wide range of medical image applications.  ...  Acknowledgements The work described in this paper was supported by a grant  ... 
doi:10.3978/j.issn.2223-4292.2012.08.02 pmid:23256080 pmcid:PMC3496509 fatcat:aco26l6qnfccrbjodilyweygzq

Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable

T. Rohlfing
2012 IEEE Transactions on Medical Imaging  
To this end, we introduce a "registration" algorithm that generates highly inaccurate image transformations, yet performs extremely well in terms of the surrogate measures.  ...  The accuracy of nonrigid image registrations is commonly approximated using surrogate measures such as tissue label overlap scores, image similarity, image difference, or transformation inverse consistency  ...  Image Similarity Measures Shown in Table III are the post-registration values of three image-based similarity measures that are also commonly used to evaluate image registrations: Root of Mean Squares  ... 
doi:10.1109/tmi.2011.2163944 pmid:21827972 pmcid:PMC3274625 fatcat:on6u4x7oivgg3gzrjzld6mdoli

A Literature Survey of Ultrasound and Computed Tomography-Based Cardiac Image Registration

Chieng Thion Ming, Zaid Omar, Nasrul Humaimi Mahmood, Suhaini Kadiman
2015 Jurnal Teknologi  
Acknowledgement The authors wish to thank the National Heart Institute (IJN) and IJN-UTM Cardiovascular Engineering Centre, Universiti Teknologi Malaysia for their support towards this research through  ...  Brown [11] first published a comprehensive survey of image registration techniques in 1992. Elsen et al.  ...  This is followed by a similarity measure which estimates the similarity merit of the reference image and transformed target images.  ... 
doi:10.11113/jt.v74.4672 fatcat:hrhlnyhjyjdbtpw63dpdaugyfi

Deep Learning for Medical Image Registration: A Comprehensive Review [article]

Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder, V. B. Surya Prasath
2022 arXiv   pre-print
This paper provides a comprehensive review of medical image registration.  ...  Image registration is a critical component in the applications of various medical image analyses.  ...  In addition, the authors of. [69] used a 5-layer NN to develop a similarity measure, which was subsequently improved using Powell's approach, to conduct rigid registration images of 3D MR/US.  ... 
arXiv:2204.11341v1 fatcat:n6yacnk3ffdallbeirsgqpj274

A Review on Medical Image Registration as an Optimization Problem

Guoli Song, Jianda Han, Yiwen Zhao, Zheng Wang, Huibin Du
2017 Current Medical Imaging Reviews  
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  ...  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  ...  ACKNOWLEDGEMENTS This project is sponsored by National Natural Science Foundation of China (Grant No. 61333019).  ... 
doi:10.2174/1573405612666160920123955 pmid:28845149 pmcid:PMC5543570 fatcat:g5rngfhu2raxzclhyftupuxkn4

Medical Image Registration Using Deep Neural Networks: A Comprehensive Review [article]

Hamid Reza Boveiri, Raouf Khayami, Reza Javidan, Ali Reza MehdiZadeh
2020 arXiv   pre-print
In this paper, a comprehensive review on the state-of-the-art literature known as medical image registration using deep neural networks is presented.  ...  Image-guided interventions are saving the lives of a large number of patients where the image registration problem should indeed be considered as the most complex and complicated issue to be tackled.  ...  In this paper, a comprehensive systematic review on the medical image registration using deep neural networks is presented.  ... 
arXiv:2002.03401v1 fatcat:u4utrifr2rg3bf6x6fgohyfmpy

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning [article]

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu (+37 others)
2021 arXiv   pre-print
However, only a few studies have comprehensively compared medical image registration approaches on a wide range of clinically relevant tasks, in part because of the lack of availability of such diverse  ...  Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed.  ...  Survey Papers and Baseline Methods: Surveys on conventional medical image registration [2] , [3] have comprehensively reviewed typical categories of approaches including similarity metric, regulariser  ... 
arXiv:2112.04489v2 fatcat:4hunhsm75bdkxipdwmngsdafjy

Detection of Tumor in Liver Using Image Segmentation and Registration Technique

Priyanka Kumar, Shailesh Bhalerao
2014 IOSR Journal of Electronics and Communication Engineering  
Initially in the pre-processing phase, a set of medical images is filtered for removing noise.  ...  Neuro-fuzzy (NF) systems are suitable tools to deal with uncertainty found in the process of extracting useful information from images.  ...  The quality of a clustering result depends on both the similarity measure used by the method and its implementation.  ... 
doi:10.9790/2834-0928110115 fatcat:ttklmzj4rzcgpnfzh43enamj64

Developing Image Processing Meta-Algorithms with Data Mining of Multiple Metrics

Kelvin Leung, Alexandre Cunha, A. W. Toga, D. Stott Parker
2014 Computational and Mathematical Methods in Medicine  
Here by a metric we mean any image similarity or distance measure, and in this paper we consider intensity-based and statistical image measures and focus on registration as an image processing problem.  ...  People often use multiple metrics in image processing, but here we take a novel approach of mining the values of batteries of metrics on image processing results.  ...  Image Metrics If R and S are two images we wish to compare, we compute a measure 𝐷(R, S), where 𝐷 is a measure of similarity that we refer to as a metric.  ... 
doi:10.1155/2014/383465 pmid:24653748 pmcid:PMC3932725 fatcat:hgk4qj2hy5ct5lub2qcecvvr2y

Image Stitching for Achilles Tendon Ultrasonography Using Particle Swarm Optimization of Boundary Vector Field Based Similarity and Log-Domain Diffeomorphic Registration

Jingyu Xiong, Qi Zhang, Jingfeng Suo, Yehua Cai, Jun Shi, Yinghui Hua
2017 Journal of Medical Imaging and Case Reports  
Acknowledgements The work was funded by the National Science Foundation of China (No. 61671281; 61401267; 61471231). Conflict of Interest None  ...  Similarity Measure. The normalized mutual information (NMI) is a variant of mutual information, widely used in the pixel-based registration.  ...  Methods Rigid registration using PSO of BVF-based similarity The rigid registration is composed of three components, the feature space, similarity measure, and search strategy.  ... 
doi:10.17756/micr.2017-003 fatcat:5adzcf67zvhpjbvt56t3fmkrou

Learning deformable registration of medical images with anatomical constraints

Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2020 Neural Networks  
Deformable image registration is a fundamental problem in the field of medical image analysis.  ...  The proposed AC-RegNet architecture is evaluated in the context of chest X-ray image registration using three different datasets, where the high anatomical variability makes the task extremely challenging  ...  map images to deformation fields without using any kind of similarity measure 3 to compare them.  ... 
doi:10.1016/j.neunet.2020.01.023 pmid:32035306 fatcat:vv6ddn432re2pcv463uv4j6seq

Toward integrated image guided liver surgery

W. R. Jarnagin, Amber L. Simpson, M. I. Miga, Robert J. Webster, Baowei Fei
2017 Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling  
occult lesions, (5) validation of deformation correction, and a (6) a novel blinded study focused at the value of deformation correction.  ...  In this paper, we will review several examples from our own work that demonstrate the impact of image-guided procedure methods in eight clinical studies that speak to: (1) the accuracy in planning for  ...  On a general note, the outcome of advances such as the ones above will result in the next revolution in comprehensive soft-tissue image-guided surgery system.  ... 
doi:10.1117/12.2257615 dblp:conf/miigp/JarnaginSM17 fatcat:slaqtccqorav7k76hvs5ijn7pe

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization [article]

Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang
2020 arXiv   pre-print
In this paper, we will present an overview of SenseCare as an efficient platform providing comprehensive toolkits and high extensibility for intelligent image analysis and clinical research in different  ...  To facilitate clinical research with Artificial Intelligence (AI), SenseCare provides a range of AI toolkits for different tasks, including image segmentation, registration, lesion and landmark detection  ...  computing in a wide range of medical departments towards smart healthcare.  ... 
arXiv:2004.07031v1 fatcat:aczelk3365ftniy2vt7tcxwe7i
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