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Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix

Yuanjie Zheng, Ebenezer Daniel, Allan A. Hunter, Rui Xiao, Jianbin Gao, Hongsheng Li, Maureen G. Maguire, David H. Brainard, James C. Gee
2014 Medical Image Analysis  
, 2003) and the combinatorial optimization of linear programming.  ...  Retinal image alignment is fundamental to many applications in diagnosis of eye diseases. In this paper, we address the problem of landmark matching based retinal image alignment.  ...  Acknowledgements This work was made possible through support from the National Institutes of Health (NIH) via Grants NS045839, HHSN276201000492P, and P30 EY001583.  ... 
doi:10.1016/j.media.2013.09.009 pmid:24238743 pmcid:PMC4141885 fatcat:fnf37wiluzdfflkgu5j7k75z6e

Strip-based registration of serially acquired optical coherence tomography angiography

Morgan Heisler, Sieun Lee, Zaid Mammo, Yifan Jian, MyeongJin Ju, Andrew Merkur, Eduardo Navajas, Chandrakumar Balaratnasingam, Mirza Faisal Beg, Marinko V. Sarunic
2017 Journal of Biomedical Optics  
The improved visualization of the capillaries can enable robust quantification and study of minute changes in retinal microvasculature. © The Authors.  ...  The contrast-to-noise ratio and signal-to-noise ratio of the angiograms with all retinal layers (reported as average AE standard deviation) increased from 0.52 AE 0.22 and 19.58 AE 4.04 dB for a single  ...  Acknowledgments The authors acknowledge funding support from the Natural Sciences and Engineering Research Council of Canada, the Canadian Institutes for Health Research, the Brain Canada Foundation, the  ... 
doi:10.1117/1.jbo.22.3.036007 pmid:28265647 fatcat:oyo7jep7wjeprejqpue22qczzy

Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification

Sumit Laha, Rodney LaLonde, Austin E. Carmack, Hassan Foroosh, John C. Olson, Saad Shaikh, Ulas Bagci
2020 Frontiers in Computer Science  
Methods: The proposed method consists of three phases: (i) image registration for large motion removal from fluorescein angiogram videos, followed by (ii) retinal vessel segmentation, and lastly, (iii)  ...  In the final phase, a segmentation-guided Eulerian video magnification is proposed for magnifying subtle changes in the retinal video produced by blood flow through the retinal vessels.  ...  AC and JO provided data acquisition of FA videos from Central Florida Retina, FL, USA. HF contributed in the design of a new method of image registration. SS provided medical expertise in this study.  ... 
doi:10.3389/fcomp.2020.00024 fatcat:rdu2kzdxcfdpvnfhwpnbdhv6yq

Affine Registration with Feature Space Mutual Information [chapter]

Torsten Butz, Jean-Philippe Thiran
2001 Lecture Notes in Computer Science  
We used a very general parallel, distributed memory, genetic optimization which turned out to be very robust.  ...  This paper introduces two important issues of image registration.  ...  Angiograms of the Retinal Blood Vessels In this study, we show that the presented feature space MI combined with the globally convergent genetic optimization can extend the MI based image registration  ... 
doi:10.1007/3-540-45468-3_66 fatcat:unqwyavd5vcjpnzte2uqnfnopa

Registration of digital retinal images using landmark correspondence by expectation maximization

Neil Ryan, Conor Heneghan, Philip de Chazal
2004 Image and Vision Computing  
Results are presented of (a) the cross-modal image registration of an optical image and a fluorescein angiogram, (b) temporal registration of two images of an infant eye, and (c) mono-modal registration  ...  Registration is then achieved using linear regression to optimize similarity, bilinear or second order polynomial transformations for the matching control point pairs.  ...  They also thank an anonymous reviewer for highlighting several works of relevance to this study.  ... 
doi:10.1016/j.imavis.2004.04.004 fatcat:uneepj4xhbfapmab2hcu5orhx4

Registration of digital ophthalmic images using vector mapping

N. Ryan, C. Henaghan, M. Cahill
2000 Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)  
The technique has been applied to two types of retinal image -optical photographs and fluorescein angiograms, demonstrating that it can be readily used to provide cross-modal registration.  ...  All potential transforms between the vectors are generated, with the correct registration producing a tight cluster of data points in the space of transform coefficients.  ...  The novel aspect of the work is the application of the Expectation Maximization (EM) algorithm in identifying the optimal registration transform.  ... 
doi:10.1109/icip.2000.899449 dblp:conf/icip/RyanHC00 fatcat:f2gvj6upijh2jmmcwlmurmhxoa

Grey-Wolf-Based Wang's Demons for Retinal Image Registration

Sayan Chakraborty, Ratika Pradhan, Amira S. Ashour, Luminita Moraru, Nilanjan Dey
2020 Entropy  
In this work, a grey-wolf optimizer (GWO)-based non-rigid demons registration is proposed to support the retinal image registration process.  ...  A comparative study of the proposed GWO-based demons registration framework with cuckoo search, firefly algorithm, and particle swarm optimization-based demons registration is conducted.  ...  Tang et al. 2018 [64] Non-rigid point matching registration http://imagebank. asrs.org/ 200 Accuracy of 92.44% The feature matching technique wasn't robust.  ... 
doi:10.3390/e22060659 pmid:33286433 fatcat:ek2shlg5ifbv5etnazypp7bupi

A Review On Medical Image Registration Techniques

Shadrack Mambo, Karim Djouani, Yskandar Hamam, Barend Van Wyk, Patrick Siarry
2018 Zenodo  
Developing a solid foundation for a research study is possible through a methodological analysis and synthesis of existing contributions.  ...  The paper also suggests several areas of future research in the image registration.  ...  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

The dual-bootstrap iterative closest point algorithm with application to retinal image registration

C.V. Stewart, Chia-Ling Tsai, B. Roysam
2003 IEEE Transactions on Medical Imaging  
Motivated by the problem of retinal image registration, this paper introduces and analyzes a new registration algorithm called Dual-Bootstrap Iterative Closest Point (Dual-Bootstrap ICP).  ...  Steps 1): and 3), the bootstrap steps, are governed by the covariance matrix of the estimated transformation. Estimation refinement [Step 2)] uses a novel robust version of the ICP algorithm.  ...  Radke for detailed critical feedback on an earlier draft of this paper.  ... 
doi:10.1109/tmi.2003.819276 pmid:14606672 fatcat:4v3xsr3p6rbh5jmi5rte7enqeq

Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography

Hansford C. Hendargo, Rolando Estrada, Stephanie J. Chiu, Carlo Tomasi, Sina Farsiu, Joseph A. Izatt
2013 Biomedical Optics Express  
Slight changes in the orientation of the subject's eye relative to the optical system between acquired volumes may result in non-rigid warping of the image.  ...  We extend this technique to automatically mosaic individual vascular images into a widefield image of the retinal vasculature.  ...  Acknowledgments We acknowledge the valuable help of Dr. Anthony Kuo and Dr. Priyatham Mettu in obtaining IRB approval for this study.  ... 
doi:10.1364/boe.4.000803 pmid:23761845 pmcid:PMC3675861 fatcat:7sikjjxkobcuva3a657gvrqjkm

Multimodal Registration of Retinal Images Using Self Organizing Maps

G.K. Matsopoulos, P.A. Asvestas, N.A. Mouravliansky, K.K. Delibasis
2004 IEEE Transactions on Medical Imaging  
The proposed registration algorithm was tested on 24 multimodal retinal pairs and the obtained results show an advantageous performance in terms of accuracy with respect to the manual registration.  ...  In this paper, an automatic method for registering multimodal retinal images is presented.  ...  DISCUSSION The following remarks can be drawn for the proposed registration scheme: It is evident that the objective function that is optimized is the average value of the partial measure of matches.  ... 
doi:10.1109/tmi.2004.836547 pmid:15575412 fatcat:yy6pmhe4nja2dowa635q4k4h44

Active Testing Search for Point Cloud Matching [chapter]

Miguel Amável Pinheiro, Raphael Sznitman, Eduard Serradell, Jan Kybic, Francesc Moreno-Noguer, Pascal Fua
2013 Lecture Notes in Computer Science  
We apply the method to registration of graph structures by branching point matching.  ...  We tested our algorithm on angiography, retinal fundus, and neuronal data gathered using electron and light microscopy.  ...  (a) (b) (c) (d) In Fig. 5 and Fig. 6 , we show 2D datasets of heart angiograms and retinal fundus images.  ... 
doi:10.1007/978-3-642-38868-2_48 pmid:24684000 fatcat:rzr7cj7dwrg5pocpwrydttj63m

Review on Retrospective Procedures to Correct Retinal Motion Artefacts in OCT Imaging

Luisa Sánchez Brea, Danilo Andrade De Jesus, Muhammad Faizan Shirazi, Michael Pircher, Theo van Walsum, Stefan Klein
2019 Applied Sciences  
This paper reviews the state-of-the-art of retrospective procedures to correct retinal motion and axial eye motion artefacts in OCT imaging.  ...  Pre-processing, registration, and validation techniques are described.  ...  An easy way to infer the registration robustness through visual inspection is to use a checkerboard between two independent measurements of the same subject, either between cross-sectional or en face images  ... 
doi:10.3390/app9132700 fatcat:da2uhcwsnfemvljhhfsay7ct5e

Evaluation of semiautomated quantification of cranial ultrasound images in newborns as a predictor of Neonatal Behavioral Assessment Scale

E. Bonet-Carne, V. Tenorio, F. Figueras, E. Gratacos, I. Amat-Roldan
2011 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
., United States; Nancy Andreasen, Vincent Magnotta, the University of Iowa, United States xxv TH-PS1c.11: EFFICIENT SYMMETRIC AND INVERSE-CONSISTENT DEFORMABLE ................590 REGISTRATION THROUGH  ...  Florida, United States TH-PS1c.2: PROBABILISTIC NON-RIGID REGISTRATION OF PROSTATE IMAGES: .................553 MODELING AND QUANTIFYING UNCERTAINTY Petter Risholm, Andriy Fedorov, Jennifer Pursley, Kemal  ... 
doi:10.1109/isbi.2011.5872350 dblp:conf/isbi/Bonet-CarneTFGA11 fatcat:hz26tx4dmzbbnefruo7eh5jrbm

Multimodal Registration Procedure for the Initial Spatial Alignment of a Retinal Video Sequence to a Retinal Composite Image

A Martina Broehan, Christoph Tappeiner, Simon P Rothenbuehler, Tobias Rudolph, Christoph A Amstutz, Jens H Kowal
2010 IEEE Transactions on Biomedical Engineering  
This paper presents a method for the multimodal registration of the initial frame from an SDO retinal video sequence to a retinal composite image, which may contain a treatment plan.  ...  The retinal registration procedure comprises the following steps: 1) detection of vessel centerline points and identification of the optic disc; 2) prealignment of the video frame and the composite image  ...  These are either retinal images of different modalities (e.g., a fundus image and an angiogram) or images of the same modality taken at different points of time (temporal registration).  ... 
doi:10.1109/tbme.2010.2048710 pmid:20460204 fatcat:b4zhntviffez7a6atxlrlxp5jm
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