Registration of stereo and temporal images of the retina
The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method the authors propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations be...
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| Published in | IEEE transactions on medical imaging Vol. 18; no. 5; pp. 404 - 418 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
IEEE
01.05.1999
Institute of Electrical and Electronics Engineers |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0278-0062 |
| DOI | 10.1109/42.774168 |
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| Abstract | The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method the authors propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing the authors find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success. |
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| AbstractList | The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method the authors propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing the authors find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method we propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing we find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success.The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method we propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing we find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success. The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method the authors propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing the authors find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success. The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method we propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing we find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success. |
| Author | Van Saarloos, P.P. Eikelboom, R.H. Cooper, J. Ritter, N. Owens, R. |
| Author_xml | – sequence: 1 givenname: N. surname: Ritter fullname: Ritter, N. organization: Centre for Ophthalmology, Western Australia Univ., Nedlands, WA, Australia – sequence: 2 givenname: R. surname: Owens fullname: Owens, R. – sequence: 3 givenname: J. surname: Cooper fullname: Cooper, J. – sequence: 4 givenname: R.H. surname: Eikelboom fullname: Eikelboom, R.H. – sequence: 5 givenname: P.P. surname: Van Saarloos fullname: Van Saarloos, P.P. |
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| SubjectTerms | Algorithms Biological and medical sciences Fourier Analysis Hierarchical systems Humans Image analysis Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - statistics & numerical data Image registration Image sensors Information theory Interpolation Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Magnetic sensors Medical sciences Multimodal sensors Optic Nerve - anatomy & histology Optic Nerve - diagnostic imaging Optical films Optical sensors Otorhinolaryngology. Stomatology. Orbit Photogrammetry - methods Photogrammetry - statistics & numerical data Positron emission tomography Radiodiagnosis. Nmr imagery. Nmr spectrometry Retina Retina - anatomy & histology Retina - diagnostic imaging Sensor phenomena and characterization Simulated annealing Stereo vision Time Factors Tomography, Emission-Computed - methods Tomography, Emission-Computed - statistics & numerical data Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - statistics & numerical data |
| Title | Registration of stereo and temporal images of the retina |
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