Abstract
Age-related macular degeneration (AMD) affects the vision of millions of people around the world. Currently there are a few treatment options to treat and/or arrest the visual distortions in AMD patients; however, they are not uniformly effective. Retinal health of AMD patients is monitored using imaging of the retina using optical coherence tomography, fluorescein agiography, etc. The visual distortions experienced by the patients are monitored using Amsler grids. All these different types of image data can be used to study the retinal health of patients and develop correlations among data collected from different images, particularly from the Amsler grids annotated by AMD patients. This paper proposes a conceptual and logical data model that combines all of the image data from AMD patients and describes a query model for accessing the data for a single as well as across multiple patients. All retinal images are processed to construct a retinal map for each eye of a patient. The rich retinal map data is then stored in a relational database for further querying.
Research Supported by Faculty Innovation Research Enterprise Grant from University of Nebraska-Omaha.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The 9 macular regions as defined by the Early Treatment Diabetic Retinopathy Study (ETDRS).
- 2.
Figure 3 lists only a few of the attributes for each entity due to lack of space.
References
Amissah-Arthur, K.N., Panneerselvam, S., Narendran, N., Yang, Y.C.: Optical coherence tomography changes before the development of choroidal neovascularization in second eyes of patients with bilateral wet macular degeneration. Eye 26, 394–399 (2012)
Chiu, S.J., Lokhnygina, Y., Dubis, A.M., Dubra, A., Carroll, J., Izatt, J.A., Farsiu, S.: Automatic cone photoreceptor segmentation using graph theory and dynamic programming. Biomed. Opt. Expr. 4(6), 924–937 (2013)
Chundi, P., Subramaniam, M., Margalit, E.: Discovering themes from AMD retinal maps using topic models. In: IEEE Engineering in Medicine and Biology Society Conference (2014)
DeBuc, D.C.: A review of algorithms for segmentation of retinal image data using optical coherence tomography. In: Ho, P. (ed.) Image Segmentation (2011). ISBN: 978-953-307-228-9
Malamos, P., Sacu, S., Georgopoulos, M., Kriss, C., Pruente, C., Schmidt-Erfurth, U.: Correlation of high-definition optical coherence tomography and fluorescein angiography imaging in neovascular macular degeneration. Invest. Opthamology Cis Sci. 50(10), 4926–4933 (2009)
Mardia, K., et al.: Multivariate Analysis. Academic Press, New York (1979)
Niemeijer, M., Staal, J.: Comparative study of retinal vessel segmentation methods on a new publicly available database. In: Proceedings of SPIE Conference on Medical Imaging (2004)
Pattona, N., Aslamc, T.M., MacGillivray, T., Dearye, I.J., Dhillon, B., Eikelboom, R.H., Yogesana, K., Constable, I.J.: Retinal image analysis: concepts, applications and potential. Prog. Retinal Eye Res. 25(1), 99–127 (2006)
Grosky, W.I., Stanchev, P.L.: An image data model. In: Laurini, R. (ed.) VISUAL 2000. LNCS, vol. 1929, pp. 14–25. Springer, Heidelberg (2000)
Silberschatz, A., Korth, H.F., Sudarshan, S.: Database System Concepts. McGraw Hill Higher Education, New York (2009)
Taibl, J.N., Sayegh, S.I.: Multimodality imaging in clinical diagnosis and treatment of macular disease. In: Proceedings of the SPIE 8567, Ophthalmic Technologies, XXIII (2013)
Amsler, M.: Earliest symptoms of diseases of the macula. Br. J. Ophthalmol. 37, 521 (1953)
Parker, J.R.: Algorithms for Image Processing and Computer Vision. Wiley, New York (2011)
Go, S., Chundi, P., Subramaniam, M.: Analyzing OCT images of age-related macular degeneration patients to identify spatial health correlations. In: IEEE Conference on Engineering in Medicine and Biology (2015)
Subramaniam, M., Chundi, P., Margalit, E.: Discovering themes from AMD retinal maps using topic models. In: IEEE Conference on Engineering in Medicine and Biology (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Parakh, A., Chundi, P., Subramaniam, M. (2016). DRSTI: A Workbench for Querying Retinal Image Data of Age-Related Macular Degeneration Patients. In: Zheng, X., Zeng, D., Chen, H., Leischow, S. (eds) Smart Health. ICSH 2015. Lecture Notes in Computer Science(), vol 9545. Springer, Cham. https://doi.org/10.1007/978-3-319-29175-8_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-29175-8_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29174-1
Online ISBN: 978-3-319-29175-8
eBook Packages: Computer ScienceComputer Science (R0)