Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review

Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Hamido Fujita, Jen Hong Tan, Chua Kuang Chua, Sulatha V. Bhandary, Augustinus Laude, Louis Tong

Research output: Contribution to journalReview article

15 Citations (Scopus)

Abstract

Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.

Original languageEnglish
Pages (from-to)295-315
Number of pages21
JournalComputers in Biology and Medicine
Volume66
DOIs
Publication statusPublished - 01-11-2015

Fingerprint

Angiography
Macular Edema
Optical tomography
Imaging techniques
Fluorescein Angiography
Optical Coherence Tomography
Medical problems
Screening
Image processing
Dyes
Color
Fluids
Lasers
Light Coagulation
Extracellular Fluid
Exudates and Transudates
Blindness
Fluorescein
Diabetes Mellitus
Coloring Agents

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Informatics

Cite this

Mookiah, Muthu Rama Krishnan ; Acharya, U. Rajendra ; Fujita, Hamido ; Tan, Jen Hong ; Chua, Chua Kuang ; Bhandary, Sulatha V. ; Laude, Augustinus ; Tong, Louis. / Application of different imaging modalities for diagnosis of Diabetic Macular Edema : A review. In: Computers in Biology and Medicine. 2015 ; Vol. 66. pp. 295-315.
@article{8d60294803684773a217cc93f426fb97,
title = "Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review",
abstract = "Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.",
author = "Mookiah, {Muthu Rama Krishnan} and Acharya, {U. Rajendra} and Hamido Fujita and Tan, {Jen Hong} and Chua, {Chua Kuang} and Bhandary, {Sulatha V.} and Augustinus Laude and Louis Tong",
year = "2015",
month = "11",
day = "1",
doi = "10.1016/j.compbiomed.2015.09.012",
language = "English",
volume = "66",
pages = "295--315",
journal = "Computers in Biology and Medicine",
issn = "0010-4825",
publisher = "Elsevier Limited",

}

Application of different imaging modalities for diagnosis of Diabetic Macular Edema : A review. / Mookiah, Muthu Rama Krishnan; Acharya, U. Rajendra; Fujita, Hamido; Tan, Jen Hong; Chua, Chua Kuang; Bhandary, Sulatha V.; Laude, Augustinus; Tong, Louis.

In: Computers in Biology and Medicine, Vol. 66, 01.11.2015, p. 295-315.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Application of different imaging modalities for diagnosis of Diabetic Macular Edema

T2 - A review

AU - Mookiah, Muthu Rama Krishnan

AU - Acharya, U. Rajendra

AU - Fujita, Hamido

AU - Tan, Jen Hong

AU - Chua, Chua Kuang

AU - Bhandary, Sulatha V.

AU - Laude, Augustinus

AU - Tong, Louis

PY - 2015/11/1

Y1 - 2015/11/1

N2 - Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.

AB - Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.

UR - http://www.scopus.com/inward/record.url?scp=84943602458&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84943602458&partnerID=8YFLogxK

U2 - 10.1016/j.compbiomed.2015.09.012

DO - 10.1016/j.compbiomed.2015.09.012

M3 - Review article

C2 - 26453760

AN - SCOPUS:84943602458

VL - 66

SP - 295

EP - 315

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

ER -