Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Vessel-Based Registration of Fundus and Optical Coherence Tomography Projection Images of Retina Using a Quadratic Registration Model Publisher



Golabbakhsh M1 ; Rabbani H1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Biomedical Engineering Department, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Source: IET Image Processing Published:2013


Abstract

The new techniques of three-dimensional (3D)-optical coherence tomography (OCT) imaging is very useful for detecting retinal pathologic changes in various diseases and determining retinal thickness 'abnormalities'. Fundus colour images have been used for several years for detecting retinal abnormalities too. If the two image modalities were combined, the resulted image would be more informative. The first step to combine these two modalities is to register colour fundus images with an en face representation of OCT. In this study, curvelet transform is used to extract vessels for both modalities. Then the extracted vessels from two modalities are registered together in two stages. At first, images are registered using scaling and translation transformations. Then a quadratic transformation model is assumed between two pairs of images; because retina is imaged as a second-order surface. Twenty-two eyes (17 macular and 5 prepapillary), from random patients, were imaged in this study with Topcon 3D OCT1000 instrument. A new registration error is defined which averages the distance between all the corresponding points in two sets of vessels. Results show that registration error after stage one is 6.01 ± 1.82 pixels and after stage two is 1.02 ± 0.02 pixels. © The Institution of Engineering and Technology 2013.
Related Docs
View other Related Docs
1. Detection and Registration of Vessels of Fundus and Oct Images Using Curevelet Analysis, IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012 (2012)
2. A Hybrid Method for 3D Mosaicing of Oct Images of Macula and Optic Nerve Head, Computers in Biology and Medicine (2017)
3. An Accurate Multimodal 3-D Vessel Segmentation Method Based on Brightness Variations on Oct Layers and Curvelet Domain Fundus Image Analysis, IEEE Transactions on Biomedical Engineering (2013)
4. Registration of Optical Coherence Tomography (Oct) of Optic Nerve Head and Fundus Images Using Speeded-Up Robust Features (Surf) and Random Sample Consensus (Ransac) Algorithms, Journal of Isfahan Medical School (2016)
5. Hybrid Registration of Retinal Fluorescein Angiography and Optical Coherence Tomography Images of Patients With Diabetic Retinopathy, Biomedical Optics Express (2021)
6. Registration of Fluorescein Angiography and Optical Coherence Tomography Images of Curved Retina Via Scanning Laser Ophthalmoscopy Photographs, Biomedical Optics Express (2020)
7. Comparison of Macular Octs in Right and Left Eyes of Normal People, Progress in Biomedical Optics and Imaging - Proceedings of SPIE (2014)
8. Local Comparison of Cup to Disc Ratio in Right and Left Eyes Based on Fusion of Color Fundus Images and Oct B-Scans, Information Fusion (2019)
Experts (# of related papers)
View all Related Experts
Hossein Rabbani (85)
Raheleh Kafieh (37)
Other Related Docs
9. Forming Optimal Projection Images From Intra-Retinal Layers Using Curvelet-Based Image Fusion Method, Journal of Medical Signals and Sensors (2020)
10. Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images Using Wavelet-Based Convolutional Neural Network Features and Random Forests Classifier, Journal of Biomedical Optics (2018)
11. Alignment of Optic Nerve Head Optical Coherence Tomography B-Scans in Right and Left Eyes, Proceedings - International Conference on Image Processing, ICIP (2017)
12. Vessel Segmentation in Images of Optical Coherence Tomography Using Shadow Information and Thickening of Retinal Nerve Fiber Layer, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)
13. Evaluation of Asymmetry in Right and Left Eyes of Normal Individuals Using Extracted Features From Optical Coherence Tomography and Fundus Images, Journal of Medical Signals and Sensors (2021)
14. Analysis of a Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations, IEEE Transactions on Instrumentation and Measurement (2021)
15. Synthetic Oct Data in Challenging Conditions: Three-Dimensional Oct and Presence of Abnormalities, Medical and Biological Engineering and Computing (2022)
16. Automatic Detection of Microaneurysms in Oct Images Using Bag of Features, Computational and Mathematical Methods in Medicine (2022)
17. Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy Severity Based on Curvelet Transform, Graefe's Archive for Clinical and Experimental Ophthalmology (2012)
18. A Matlab Package for Automatic Extraction of Flow Index in Oct-A Images by Intelligent Vessel Manipulation, SoftwareX (2020)
19. Analysis of Fundus Fluorescein Angiogram Based on the Hessian Matrix of Directional Curvelet Sub-Bands and Distance Regularized Level Set Evolution, Journal of Medical Signals and Sensors (2015)
20. 3D Curvelet-Based Segmentation & Quantification of Drusen in Optical Coherence Tomography Images, Journal of Electrical and Computer Engineering (2017)
21. Curvature Correction of Retinal Octs Using Graph-Based Geometry Detection, Physics in Medicine and Biology (2013)
22. Formation and Fusion of Projection Images From 11 Layers of Retina Using Statistical Indicators to Obtain an Image With Appropriate Contrast From the Retinal Depth, Journal of Isfahan Medical School (2013)
23. A Review on Texture-Based Methods for Anomaly Detection in Retinal Optical Coherence Tomography Images, Optik (2023)
24. Forming Projection Images From Each Layer of Retina Using Diffusion May Based Oct Segmentation, 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (2012)
25. Super-Resolution of Retinal Optical Coherence Tomography Images Using Statistical Modeling, Journal of Medical Signals and Sensors (2024)
26. Retinal Oct Image Denoising Based on Adaptive Bessel K-Form Modeling, 2023 30th National and 8th International Iranian Conference on Biomedical Engineering, ICBME 2023 (2023)
27. Three-Dimensional Segmentation of Retinal Cysts From Spectral-Domain Optical Coherence Tomography Images by the Use of Three-Dimensional Curvelet Based K-Svd, Journal of Medical Signals and Sensors (2016)
28. Detecting Red-Lesions From Retinal Fundus Images Using Unique Morphological Features, Scientific Reports (2023)
29. Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory, Journal of Medical Signals and Sensors (2023)
30. Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
31. A New Convolutional Neural Network Based on Combination of Circlets and Wavelets for Macular Oct Classification, Scientific Reports (2023)
32. Automatic Multifaceted Matlab Package for Analysis of Ocular Images (Ampao), SoftwareX (2019)
33. Multifocal Electroretinogram in Diabetic Macular Edema; Correlation With Visual Acuity and Optical Coherence Tomography, Journal of Ophthalmic and Vision Research (2015)
34. Local Comparison of Cup-To-Disc Ratio in Right and Left Eyes Via Optical Coherence Tomography B-Scans of Optic Nerve Head, Journal of Isfahan Medical School (2016)
35. Multivariate Statistical Modeling of Retinal Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2020)
36. The Improvement of Extraction Retinal Pigment Epithelium (Rpe) Layer in Optical Coherence Tomography (Oct) Images by Using Piecewise Dynamic Programming Method in Patients With Persistent Epithelial Defect (Ped), Journal of Isfahan Medical School (2021)
37. Statistical Modeling of Optical Coherence Tomography Images by Asymmetric Normal Laplace Mixture Model, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
38. Classification of Dry Age-Related Macular Degeneration and Diabetic Macular Oedema From Optical Coherence Tomography Images Using Dictionary Learning, IET Image Processing (2020)
39. Wavelet Scattering Transform Application in Classification of Retinal Abnormalities Using Oct Images, Scientific Reports (2023)
40. Directional Analysis of Intensity Changes for Determining the Existence of Cyst in Optical Coherence Tomography Images, Scientific Reports (2022)
41. Asymmetry Evaluation of Fundus Images in Right and Left Eyes Using Radon Transform and Fractal Analysis, Proceedings - International Conference on Image Processing, ICIP (2015)
42. Automatic Detection of Exudates and Optic Disk in Retinal Images Using Curvelet Transform, IET Image Processing (2012)
43. A Comprehensive Study of Retinal Vessel Classification Methods in Fundus Images, Journal of Medical Signals and Sensors (2017)
44. Automatic Detection of Micro-Aneurysms in Retinal Images Based on Curvelet Transform and Morphological Operations, Proceedings of SPIE - The International Society for Optical Engineering (2013)
45. Red-Lesion Extraction in Retinal Fundus Images by Directional Intensity Changes’ Analysis, Scientific Reports (2021)
46. Thickness Mapping of Eleven Retinal Layers Segmented Using the Diffusion Maps Method in Normal Eyes, Journal of Ophthalmology (2015)
47. X-Let's Atom Combinations for Modeling and Denoising of Oct Images by Modified Morphological Component Analysis, IEEE Transactions on Medical Imaging (2024)
48. Morphological Component Analysis for Automatic Segmentation of Six Lower Retina Layers in Optical Coherence Tomography Images, Journal of Isfahan Medical School (2016)
49. A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying Tv-Unet for Rpe Layer Detection, IEEE Transactions on Instrumentation and Measurement (2022)
50. Detection of Retinal Abnormalities in Oct Images Using Wavelet Scattering Network, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)