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Advances and challenges in deformable image registration: From image fusion to complex motion modelling
2016
Medical Image Analysis
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• We discuss remaining challenges and provide future perspectives to the field of deformable registration Advances and Challenges in Deformable Image Registra8on: From Image Fusion to Complex Mo8on Modelling ...
In this work we will present our own contributions to the state-of-the-art in deformable multi-modal fusion and complex motion modelling, and then discuss remaining challenges and provide future perspectives ...
Acknowledgments The authors wish to acknowledge funding 270 from CRUK and EPSRC, and the contributions of other researchers associated with their laboratories, including but not limited to: Amalia Cifor ...
doi:10.1016/j.media.2016.06.031
pmid:27364430
fatcat:ug7aw3jbhbb2xe5qrwhd3qbitu
Deformable image registration in radiation therapy
2017
Radiation Oncology Journal
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DIR algorithms are also briefly reviewed with respect to two algorithmic components: similarity index and deformation models. ...
Applications of DIR in radiation treatment include dose accumulation, mathematical modeling, automatic segmentation, and functional imaging. ...
Then it was deformed to finally obtain the population liver motion model. The authors claimed that the model could be used in online motion assessment. Budiarto et al. ...
doi:10.3857/roj.2017.00325
pmid:28712282
pmcid:PMC5518453
fatcat:pyvtjwza25cw7ktfmb6u5wvnlq
Cardiac Image Registration
2008
Journal of Atrial Fibrillation
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Unlike rigid body registration, cardiac image registration is unique and challenging due to cardiac motion during the cardiac cycle and due to respiration. ...
Cardiac image registration is currently under investigation and is in clinical use for AF ablation. ...
The deformations caused by cardiac chamber and respiration motion present unique problems for cardiac image registration. ...
doi:10.4022/jafib.v1i1.387
fatcat:cnb3py2qbfhtniyrgfz6hrouay
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration
[article]
2021
bioRxiv
pre-print
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In addition, DDMReg leverages deep learning techniques and provides a fast and efficient tool for dMRI registration. ...
To the best of our knowledge, DDMReg is the first deep-learning-based dMRI registration method. DDMReg is a fully unsupervised method for deformable registration between pairs of dMRI datasets. ...
We also gratefully thank the TractSeg group and the VoxelMorph group for making their code and/or trained deep learning models used in this study available online. ...
doi:10.1101/2021.03.04.433968
fatcat:an4ejr3yy5dlvknfkj5h5p5pom
Current trends in medical image registration and fusion
2016
Egyptian Informatics Journal
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Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. ...
Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such ...
In contrast, in the deformable models, the surfaces or curves are extracted from one image to be used in fitting the other image through elastically deforming them [16] . ...
doi:10.1016/j.eij.2015.09.002
fatcat:fa26tt2oz5dwdc6hnfwc2avifi
Deformable registration for image-guided radiation therapy
2006
Zeitschrift für Medizinische Physik
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In this paper, we review several applications of deformable registration algorithms in the field of image-guided radiotherapy. Materials and methods. ...
The first four sets of examples deal with intrapatient registration: two sections are dedicated to inter-fraction registration (time interval between images in the order of several days), and the other ...
Example n • 3: temporal breathing deformation (liver and lung) Accounting for intra-fraction organ motion is an important challenge in lung cancer radiation treatment [85] . ...
doi:10.1078/0939-3889-00327
pmid:17216754
fatcat:bvpgfawz35ezllqwzcwo25dw7u
Cardiac Image Registration
2008
Journal of Atrial Fibrillation
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Unlike rigid body registration, cardiac image registration is unique and challenging due to cardiac motion during the cardiac cycle and due to respiration. ...
Cardiac image registration is currently under investigation and is in clinical use for AF ablation. ...
The deformations caused by cardiac chamber and respiration motion present unique problems for cardiac image registration. ...
doi:10.4022/jafib.25
pmid:28496585
pmcid:PMC4956370
fatcat:nyycvu62c5gutaymkl3hnlx4ja
Slice-to-volume medical image registration: A survey
2017
Medical Image Analysis
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2017 pre-print arXiv:1702.01636v1 fatcat:usg5vkpmyrafzi45m7a46p4ixyOther Versions
A particular type of image registration problem, known as slice-to-volume registration, played a fundamental role in areas like image guided surgeries and volumetric image reconstruction. ...
During the last decades, the research community of medical imaging has witnessed continuous advances in image registration methods, which pushed the limits of the state-of-the-art and enabled the development ...
Acknowledgments This research was partially supported from the European Research Council Grant 259112. ...
doi:10.1016/j.media.2017.04.010
pmid:28482198
fatcat:gxdapatt75fsdjsqqud62fstta
An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment
2018
Cardiology Research and Practice
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For the cardiac diagnosis and treatment strategy, image registration and fusion can provide complementary information to the physician by using the integrated image from these two modalities. ...
This study aims to provide an overview of the existing image registration methods to assist researchers and impart valuable resource for studying the existing methods or developing new methods and evaluation ...
However, challenges remain in overcoming the deformation of the heart and the respiratory motion, which can affect the accuracy of image registration, especially during real-time imaging for guiding the ...
doi:10.1155/2018/1437125
pmid:30159169
fatcat:udrrrw6owbdazoykx43dwppj6y
Panel Introduction Video Registration: Key Challenges and the Potential Impact of their Solutions to the Field of Computer Vision
[chapter]
2003
Video Registration
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In order to review past accomplishments and discuss future challenges, we organized a panel session during the workshop. ...
The next three sections deal with the opinions of the three panelists. 1 What has been accomplished in video frame-to-frame registration in the context of mosaics, panoramas, etc., and what are the new ...
Transparent motion and mixed pixels As we start applying video registration to more realistic and complex visual scenes, we need to deal with transparent and specular motion. ...
doi:10.1007/978-1-4615-0459-7_9
fatcat:re6ykykglvhj7kylvn5gdijqjq
Deep Learning in Medical Image Registration: A Survey
[article]
2019
arXiv
pre-print
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The establishment of image correspondence through robust image registration is critical to many clinical tasks such as image fusion, organ atlas creation, and tumor growth monitoring, and is a very challenging ...
This survey, therefore, outlines the evolution of deep learning based medical image registration in the context of both research challenges and relevant innovations in the past few years. ...
This method used late fusion as opposed to early fusion, in which the patches are concatenated and used as the input to the network. ...
arXiv:1903.02026v1
fatcat:6ulnzrbj6rb55eydtkgygg5r6u
Deep learning in medical image registration
2020
Progress in Biomedical Engineering
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contributions to the field; (b) analysis of the development and evolution of deep learning-based image registration methods, summarising the current trends and challenges in the domain; and (c) overview ...
With the advent of deep learning, there have been significant advances in algorithmic performance for various computer vision tasks in recent years, including medical image registration. ...
Acknowledgments The Royal Academy of Engineering supports the work of A F F through a Chair in Emerging Technologies (CiET1819\19) and the MedIAN Network (EP/N026993/1) funded by the Engineering and Physical ...
doi:10.1088/2516-1091/abd37c
fatcat:74w7ra4f7nfrrpfk2ifvmijntq
Deep Learning in Medical Image Registration: A Review
[article]
2019
arXiv
pre-print
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Lastly, we analyzed the statistics of all the cited works from various aspects, revealing the popularity and future trend of development in medical image registration using deep learning. ...
We summarized the latest developments and applications of DL-based registration methods in the medical field. ...
Acknowledgements This research is supported in part by the National Cancer Institute of the National Institutes of Health under Award Number R01CA215718, and Dunwoody Golf Club Prostate Cancer Research ...
arXiv:1912.12318v1
fatcat:kuvckosqd5hp7asg6dofhuiis4
Multisensor image registration and optical correlation
1999
1999 Euro-American Workshop Optoelectronic Information Processing: A Critical Review
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We present several approaches for visible and infrared video image sequence registration, useful for image fusion, target detection and recognition. ...
Feature inconsistency and low contract and noise in the infrared image background consist of the principle difficulty in the image registration for the well separated spectral bands visible and IR images ...
Image registration needs to determine the deformation of images due to the camera motion and view angle changes in order to realign the images. ...
doi:10.1117/12.365906
fatcat:z562jhtepjernot3h7goythjsm
CT and PET Image Registration: Application to Thorax Area
2014
Journal of Image and Graphics
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In this paper a combined method which is simple and fast is proposed for registration of PET and CT data to correct the effect of this artifact. ...
One of the main concerns in CT-based attenuation correction (CTAC) of PET data in multimodality PET/CT imaging is misalignment occurred due to respiratory artifact between PET and CT images. ...
The issue of denoising in PET images is a challenging task due to the inherent low quality and low signal to noise ratio of PET data. ...
doi:10.12720/joig.1.4.171-175
fatcat:4dosd52f2jeehc4qllabqaa6ae
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