Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1 : Diabetic Retinopathy.

Format:

Book

Author/Creator:

El-Baz, Ayman.

Contributor:

S Suri, Jasjit.

Series:

IOP Ebooks Series

Language:

English

Subjects (All):

Diabetic retinopathy.

Optical coherence tomography.

Physical Description:

1 online resource (336 pages)

Edition:

1st ed.

Place of Publication:

Bristol : Institute of Physics Publishing, 2024.

Summary:

The book focuses on major trends and challenges in the area of using OCT imaging for the diagnosis of retinal diseases; and presents work aimed to identify new techniques and their use in biomedical analysis.

Contents:

Intro

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This book covers the state-of-the-art techniques of optical coherence tomography (OCT) imaging for the diagnosis of retinal diseases. Clinical disorders of the retina have been attracting the attention of researchers, aiming at reducing the blindness rate. This includes uveitis, diabetic retinopathy, macular edema, endophthalmitis, proliferative retinopathy, age-related macular degeneration and glaucoma. Currently, most ophthalmologists perform diagnosis by visua

Acknowledgements

Editor biographies

Ayman El-Baz

Jasjit S Suri

List of contributors

Chapter Computerized tool for the automatic segmentation of DRT edemas using OCT scans

1.1 Introduction

1.2 Computational identification and segmentation of DRT edemas

1.2.1 Identification of the region of interest

1.2.2 DRT segmentation

1.2.3 Post-processing

1.3 Results and discussion

1.4 Conclusions

Acknowledgments

References

Chapter Recent developments in optical coherence tomography angiography imaging for the diagnosis and assessment of diabetic retinopathy

2.1 Introduction

2.1.1 Diabetic retinopathy

2.1.2 Diagnostic techniques for screening DR

2.2 Optical properties of human eye tissue

2.3 OCT technique

2.3.1 Basic principle

2.3.2 Visible and NIR light sources used in OCT systems

2.3.3 Different types of OCT systems

2.4 Milestones in the advancement of OCT in ophthalmology

2.5 OCT-A technique

2.5.1 Principle of OCT-A technique

2.5.2 Assessment of various pathological conditions related to DR using OCT-A

2.5.3 Advancements in the OCT-A imaging modalities

2.5.4 Challenges of OCT-A imaging technique

2.5.5 Algorithms used in OCT-A imaging for artifact removal

2.5.6 Application of deep learning in OCT-A imaging

2.6 Conclusion.

References

Chapter Multimodal photoacoustic microscopy, optical coherence tomography, and fluorescence microscopy molecular retinal imaging in health and disease

3.1 Introduction

3.2 Fluorescence imaging

3.2.1 Fluorescein angiography

3.2.2 Indocyanine green angiography

3.2.3 Advantages and limitations

3.3 Optical coherence tomography (OCT)

3.3.1 Basic principle of OCT

3.3.2 Resolution and image dimensions

3.3.3 Advantages and limitations

3.4 Photoacoustic imaging of the eye

3.4.1 Principle of photoacoustic microscopy

3.4.2 Requirement for PAM Imaging in the retina

3.4.3 Multimodal PAM, OCT, and FM imaging

3.4.4 Evaluation of retinal vasculature network and layers using multimodal imaging

3.5 Conclusions

Chapter OCT-Leakage: non-invasive identification and measurement of abnormal retinal fluid

4.1 Introduction

4.2 OCT-Leakage: analysis of retinal extracellular fluid

4.3 Agreement between OCT-Leakage and fluorescein angiography to identify sites of alteration of blood-retinal barrier

4.4 Characterization of progression of macular edema

4.5 OCT-Leakage to identify and monitor abnormal retinal fluid in treatment of diabetic macular edema

4.6 Conclusion

Chapter Comparison of ocular ultrasound with optical coherence tomography in the evaluation of diabetic retinopathy

5.1 Introduction

5.2 Technical differences

5.3 Clinical applications in diabetic retinopathy

5.3.1 Posterior vitreous detachment and vitreoschisis

5.3.2 Tractional retinal detachment

5.3.3 Vitreous hemorrhage

5.3.4 Axial length measurement

5.3.5 Measuring blood perfusion

5.3.6 Patient collaboration

5.4 Conclusion

Chapter Optical coherence tomography biomarkers in diabetic macular edema

6.1 Introduction.

6.2 Retinal thickness and macular volume

6.3 Subfoveal choroidal thickness

6.4 Vitreomacular interface

6.4.1 Vitreomacular adhesion and posterior vitreous detachment

6.4.2 Epiretinal membrane and vitreomacular traction

6.5 Disorganization of the inner retinal layers

6.6 External limiting membrane and ellipsoid zone

6.7 Hyperreflective foci

6.7.1 Clinical and prognostic implications of hyperreflective foci in diabetic macular edema

6.8 Intraretinal cystoid spaces and bridging retinal processes

6.9 Subfoveal neurosensory detachment

6.10 Conclusion

Chapter Optical coherence tomography biomarkers in diabetic macular edema: OCT biomarkers in diabetic macular edema

7.1 Introduction

7.2 OCT biomarkers of the vitreoretinal interface

7.3 OCT biomarkers of the retina

7.3.1 Central macular thickness

7.3.2 Central macular volume

7.3.3 Intraretinal cystoid spaces

7.3.4 Disorganization of the retinal inner layers

7.3.5 Hyperreflective foci

7.3.6 Subfoveal neuroretinal detachment

7.3.7 Ellipsoid zone disruption

7.3.8 External limiting membrane disruption

7.3.9 Retinal pigment epithelium status

7.4 OCT biomarkers of the choroid

7.4.1 Subfoveal choroidal thickness

7.4.2 Choroidal vascularity index

7.4.3 Choroidal hyperreflective foci

7.5 Conclusion

Financial disclosure

Chapter Optical coherence tomography and OCTA for the diagnosis of diabetic macular edema

8.1 Introduction to DME

8.2 Development/history of OCT use in DME

8.3 Pathology and mechanism of OCT findings in DME

8.4 Findings identified on OCT in the diagnosis of DME

8.5 Classification and grading of OCT findings in DME

8.6 Introduction and development of OCTA in the diagnosis of DME

8.7 Pathology and mechanism of OCTA findings in DME

References.

Chapter Optical coherence tomography and OCTA for the treatment of diabetic macular edema

9.1 Introduction

9.2 Preventative measures for DR and DME

9.3 Treatment options for DR and DME

9.3.1 Treatment options

9.4 Monitoring treatment response with OCT

9.5 Limitations of OCT in DME

9.6 Machine learning prospects of OCT in DME

9.7 Future directions of OCT in DME

9.8 Limitations of OCTA in DME

9.9 Future directions of OCTA in DME

Chapter On the eye diseases diagnosis using OCT and fundus imaging techniques

10.1 Introduction

10.2 Fundus camera and various modes of fundus examination

10.2.1 Colour fundus photography

10.2.2 Angiography fundus image

10.2.3 Ultra-wide field fundus image

10.2.4 Smartphone-based fundus imaging

10.3 Optical coherence tomography

10.3.1 Time domain OCT (TD-OCT)

10.3.2 Fourier domain OCT (FD-OCT)

10.3.3 Swept-source OCT

10.4 Comparison between fundus and OCT imaging technique

10.5 Fundus and OCT image-based diagnosis of various eye diseases

10.5.1 Diabetic retinopathy screening

10.5.2 Glaucoma screening

10.5.3 Macular oedema screening

10.5.4 Macular degeneration screening

10.6 Biomarkers associated with fundus and OCT

10.7 Details on publicly available retinal and OCT image datasets for research

10.8 Recent advancements in commercially available fundus and OCT cameras

10.9 Conclusion

Chapter Optical coherence tomography and optical coherence tomography angiography biomarkers of diabetic macular edema

11.1 Introduction

11.2 OCT biomarkers of diabetic macular edema

11.2.1 Retinal thickness

11.2.2 Retinal volume

11.2.3 Intraretinal fluid (IRF)

11.2.4 Subretinal fluid (SRF)

11.2.5 Integrity of the photoreceptor inner segment/outer segment (IS/OS) junction.

11.2.6 Disorganization of retinal inner layers

11.2.7 Hyperreflective foci

11.2.8 Vitreoretinal traction

11.2.9 Choroidal thickness, vascularity, and reflectivity

11.2.10 Optical reflectivity of intraretinal fluid

11.3 OCTA biomarkers of diabetes mellitus

11.3.1 Retinal vascular density and blood flow

11.3.2 Peripheral findings in wide field OCT and OCTA as biomarkers of DR

11.4 Systemic implications of local biomarkers

11.5 Future applications

Chapter Early identification of diabetic retinopathy through a computer-assisted diagnostic system and a higher-order spatial appearance model of 3D-OCT

12.1 Introduction

12.1.1 Related work

12.2 Computer aided diagnosis system

12.2.1 OCT volume segmentation

12.2.2 Feature extraction

12.2.3 Classification system

12.3 Experimental results

12.4 Conclusions and future work

Chapter Prevention of age-related macular degeneration disease: current strategies and future directions

13.1 Introduction

13.2 The different grades of AMD

13.2.1 Dry AMD

13.2.2 Wet AMD

13.3 The image modalities used for AMD classification

13.3.1 Fundus image

13.3.2 Optical coherence tomography (OCT)

13.4 The pathologies associated with AMD

13.4.1 Drusen

13.4.2 Geographic atrophy

13.4.3 Neovascular AMD

13.5 Methods

13.5.1 CAD approaches for AMD grading

13.6 Discussion and future direction

13.7 Conclusion

Chapter Optical coherence tomography in diabetic retinopathy: a review in application of artificial intelligence

14.1 Introduction to optical coherence tomography

14.1.1 Advantages of the optical coherence tomography

14.1.2 Clinical signs of diabetic retinopathy in the optical coherence tomography

14.1.3 Related conventional works

14.2 Introduction to artificial intelligence.

14.2.1 The advantages of deep learning compared with traditional machine learning.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9780750343282

0750343281

OCLC:

1429739364