Drsti

A workbench for querying retinal image data of age-related macular degeneration patients

Abhinav Parakh, Parvathi Chundi, Mahadevan Subramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages340-349
Number of pages10
Volume9545
ISBN (Print)9783319291741
DOIs
StatePublished - 2016
EventInternational Conference for Smart Health, ICSH 2015 - Phoenix, United States
Duration: Nov 17 2015Nov 18 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9545
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference for Smart Health, ICSH 2015
CountryUnited States
CityPhoenix
Period11/17/1511/18/15

Fingerprint

Degeneration
Health
Optical tomography
Data structures
Imaging techniques
Grid
Optical Coherence Tomography
Retina
Relational Database
Data Model
Imaging
Query
Vision

Keywords

  • Age-related macular degeneration
  • Distortions
  • Relational data model
  • Retinal map

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Parakh, A., Chundi, P., & Subramaniam, M. (2016). Drsti: A workbench for querying retinal image data of age-related macular degeneration patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9545, pp. 340-349). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9545). Springer Verlag. https://doi.org/10.1007/978-3-319-29175-8_32

Drsti : A workbench for querying retinal image data of age-related macular degeneration patients. / Parakh, Abhinav; Chundi, Parvathi; Subramaniam, Mahadevan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9545 Springer Verlag, 2016. p. 340-349 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9545).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Parakh, A, Chundi, P & Subramaniam, M 2016, Drsti: A workbench for querying retinal image data of age-related macular degeneration patients. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9545, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9545, Springer Verlag, pp. 340-349, International Conference for Smart Health, ICSH 2015, Phoenix, United States, 11/17/15. https://doi.org/10.1007/978-3-319-29175-8_32
Parakh A, Chundi P, Subramaniam M. Drsti: A workbench for querying retinal image data of age-related macular degeneration patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9545. Springer Verlag. 2016. p. 340-349. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-29175-8_32
Parakh, Abhinav ; Chundi, Parvathi ; Subramaniam, Mahadevan. / Drsti : A workbench for querying retinal image data of age-related macular degeneration patients. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9545 Springer Verlag, 2016. pp. 340-349 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{3ec89855a9584d6b83a8311343d634da,
title = "Drsti: A workbench for querying retinal image data of age-related macular degeneration patients",
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.",
keywords = "Age-related macular degeneration, Distortions, Relational data model, Retinal map",
author = "Abhinav Parakh and Parvathi Chundi and Mahadevan Subramaniam",
year = "2016",
doi = "10.1007/978-3-319-29175-8_32",
language = "English (US)",
isbn = "9783319291741",
volume = "9545",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "340--349",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Drsti

T2 - A workbench for querying retinal image data of age-related macular degeneration patients

AU - Parakh, Abhinav

AU - Chundi, Parvathi

AU - Subramaniam, Mahadevan

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Age-related macular degeneration

KW - Distortions

KW - Relational data model

KW - Retinal map

UR - http://www.scopus.com/inward/record.url?scp=84958554818&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958554818&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-29175-8_32

DO - 10.1007/978-3-319-29175-8_32

M3 - Conference contribution

SN - 9783319291741

VL - 9545

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 340

EP - 349

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -