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27 results on '"Upadhyaya, Swati"'

2. Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review

Author

Coan, Lauren, Williams, Bryan, Venkatesh, Krishna Adithya, Upadhyaya, Swati, Czanner, Silvester, Venkatesh, Rengaraj, Willoughby, Colin E., Kavitha, Srinivasan, and Czanner, Gabriela

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Glaucoma is a leading cause of irreversible vision impairment globally and cases are continuously rising worldwide. Early detection is crucial, allowing timely intervention which can prevent further visual field loss. To detect glaucoma, examination of the optic nerve head via fundus imaging can be performed, at the centre of which is the assessment of the optic cup and disc boundaries. Fundus imaging is non-invasive and low-cost; however, the image examination relies on subjective, time-consuming, and costly expert assessments. A timely question to ask is can artificial intelligence mimic glaucoma assessments made by experts. Namely, can artificial intelligence automatically find the boundaries of the optic cup and disc (providing a so-called segmented fundus image) and then use the segmented image to identify glaucoma with high accuracy. We conducted a comprehensive review on artificial intelligence-enabled glaucoma detection frameworks that produce and use segmented fundus images. We found 28 papers and identified two main approaches: 1) logical rule-based frameworks, based on a set of simplistic decision rules; and 2) machine learning/statistical modelling based frameworks. We summarise the state-of-art of the two approaches and highlight the key hurdles to overcome for artificial intelligence-enabled glaucoma detection frameworks to be translated into clinical practice.

Published
2022

7. International Study of Childhood Glaucoma

Author

Mithra, Arijit, Pillai, Manju, Upadhyaya, Swati, Venkataraman, Ganesh, Peter Chang, Ta Chen, Grajewski, Alana, Hodapp, Elizabeth, Sung, Velota, Geyer, Orna, Wolf, Alvit, Mitchell, Ellen, Nischal, Ken, Freedman, Sharon, Beck, Allen, Giangiacomo, Annette, Coleman, Anne, Khan, Arif, Mandal, Anil, Senthil, Sirisha, Brookes, John, Khaw, Peng Tee, Papadopoulos, Maria, Chua, Jocelyn, Ho, Ching Lin, Brandt, James, Essuman, Vera, Areaux, Ray, Bitrian, Elena, Grehn, Franz, Klink, Thomas, Joos, Karen, Vanner, Elizabeth A., and Grajewski, Alana L.

Published
2020
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12. Blue bleb - Post-phacoemulsification retained trypan blue dye in an old bleb

Author

Mandlik, Kunal, Tagare, Shivraj, Upadhyaya, Swati, and Bhattacharya, Devika

Subjects
Glaucoma, Cataract -- Surgery, Health
Abstract

Byline: Kunal. Mandlik, Shivraj. Tagare, Swati. Upadhyaya, Devika. Bhattacharya A 68-year-old lady with primary angle-closure glaucoma presented with defective vision in her left eye in which she had undergone trabeculectomy [...]

Published
2022

13. Automatic detection of glaucoma via fundus imaging and artificial intelligence:A review

Author

Coan, Lauren J., Williams, Bryan M., Krishna Adithya, Venkatesh, Upadhyaya, Swati, Alkafri, Ala, Czanner, Silvester, Venkatesh, Rengaraj, Willoughby, Colin E., Kavitha, Srinivasan, Czanner, Gabriela, Coan, Lauren J., Williams, Bryan M., Krishna Adithya, Venkatesh, Upadhyaya, Swati, Alkafri, Ala, Czanner, Silvester, Venkatesh, Rengaraj, Willoughby, Colin E., Kavitha, Srinivasan, and Czanner, Gabriela

Abstract

Glaucoma is a leading cause of irreversible vision impairment globally, and cases are continuously rising worldwide. Early detection is crucial, allowing timely intervention that can prevent further visual field loss. To detect glaucoma an examination of the optic nerve head via fundus imaging can be performed, at the center of which is the assessment of the optic cup and disc boundaries. Fundus imaging is noninvasive and low-cost; however, image examination relies on subjective, time-consuming, and costly expert assessments. A timely question to ask is: “Can artificial intelligence mimic glaucoma assessments made by experts?” Specifically, can artificial intelligence automatically find the boundaries of the optic cup and disc (providing a so-called segmented fundus image) and then use the segmented image to identify glaucoma with high accuracy? We conducted a comprehensive review on artificial intelligence-enabled glaucoma detection frameworks that produce and use segmented fundus images and summarized the advantages and disadvantages of such frameworks. We identified 36 relevant papers from 2011 to 2021 and 2 main approaches: 1) logical rule-based frameworks, based on a set of rules; and 2) machine learning/statistical modeling-based frameworks. We critically evaluated the state-of-art of the 2 approaches, identified gaps in the literature and pointed at areas for future research.

Published
2023

16. Elevated episcleral venous pressure and its implications: A case of Radius-Maumenee syndrome

Author

Tejaswini, S. Usha, Sivakumar, Priya, Upadhyaya, Swati, and Venkatesh, Rengaraj

Subjects
Open-angle glaucoma -- Case studies -- Diagnosis -- Care and treatment, Health
Abstract

Byline: S. Usha Tejaswini, Priya. Sivakumar, Swati. Upadhyaya, Rengaraj. Venkatesh We report a rare case of dilated episcleral veins with unilateral secondary open-angle glaucoma. Our case highlights the possible differentials [...]

Published
2020

18. International Study of Childhood Glaucoma

Author

Papadopoulos, Maria, primary, Vanner, Elizabeth A., additional, Grajewski, Alana L., additional, Mithra, Arijit, additional, Pillai, Manju, additional, Upadhyaya, Swati, additional, Venkataraman, Ganesh, additional, Peter Chang, Ta Chen, additional, Grajewski, Alana, additional, Hodapp, Elizabeth, additional, Sung, Velota, additional, Geyer, Orna, additional, Wolf, Alvit, additional, Mitchell, Ellen, additional, Nischal, Ken, additional, Freedman, Sharon, additional, Beck, Allen, additional, Giangiacomo, Annette, additional, Coleman, Anne, additional, Khan, Arif, additional, Mandal, Anil, additional, Senthil, Sirisha, additional, Brookes, John, additional, Khaw, Peng Tee, additional, Papadopoulos, Maria, additional, Chua, Jocelyn, additional, Ho, Ching Lin, additional, Brandt, James, additional, Essuman, Vera, additional, Areaux, Ray, additional, Bitrian, Elena, additional, Grehn, Franz, additional, Klink, Thomas, additional, and Joos, Karen, additional

Published
2020
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21. Predictors of Photographic Quality with a Handheld Nonmydriatic Fundus Camera Used for Screening of Vision-Threatening Diabetic Retinopathy

Author

Davila, Jose R., primary, Sengupta, Sabyasachi S., additional, Niziol, Leslie M., additional, Sindal, Manavi D., additional, Besirli, Cagri G., additional, Upadhyaya, Swati, additional, Woodward, Maria A., additional, Venkatesh, Rengaraj, additional, Robin, Alan L., additional, Grubbs Jr., Joseph, additional, and Newman-Casey, Paula Anne, additional

Published
2017
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23. Elevated episcleral venous pressure and its implications: A case of Radius-Maumenee syndrome.

Author

Usha Tejaswini, S, Sivakumar, Priya, Upadhyaya, Swati, and Venkatesh, Rengaraj

Subjects
VENOUS pressure, SYNDROMES, ETIOLOGY of diseases, OPEN-angle glaucoma, TRABECULECTOMY, SCLERA surgery, GLAUCOMA diagnosis, GLAUCOMA surgery, INTRAOCULAR pressure, RADIAL bone, SCLEROSTOMY
Abstract

We report a rare case of dilated episcleral veins with unilateral secondary open-angle glaucoma. Our case highlights the possible differentials to be considered and the systematic investigations to be done while ruling out the etiologies. Radius-Maumenee syndrome is a diagnosis of exclusion. Raised IOP can remain refractory to the medical therapy and conventional trabeculectomy carries higher risk of complications. Here, we discuss the choice of surgical treatment and its implications on management of this secondary open-angle glaucoma. [ABSTRACT FROM AUTHOR]

Published
2020
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24. Decreasing Error in Functional Hip Joint Center Calculation using Ultrasound Imaging

Author

Upadhyaya, Swati

Subjects
Ultrasound, Functional Hip Joint Center
Abstract

The hip joint center (HJC) is needed for calculation of hip kinematics in various applications. In the functional method, the center is determined by moving femur with respect to acetabulum. A popular way for measuring this movement is through an optical motion capture system. This method is fast and economical for most applications where we require an instant HJC even though the reconstruction error in bone position calculation exists due to skin artifact. This error is caused by movement of markers placed on skin rather than on actual bone. Here we introduce ultrasound imaging as an additional modality to measure the change in soft tissue thickness above bone while hip is flexed. We use this information on the tissue thickness change to recalculate position of markers placed on skin to match the movement of bone. A good advantage of using ultrasound machine is its non-invasiveness. We calculated HJC using a symmetric center of rotation estimation (SCoRE) algorithm, which uses the concept of coordinate transformation on 3D marker position data. The algorithm gives the 3D position of two centers, one for each hip bone. The distance between these two centers (SCoRE residual) gives us a hint on the accuracy of the HJC calculation and has been proved to be proportional to the error with respect to actual center in previous studies. These two centers should ideally coincide as they collectively form a spherical joint. Our new algorithm for HJC calculation with tissue thickness compensation, measured using ultrasound imaging shows the error has been reduced from 9.13 mm to 4.87 mm

Published
2013
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27. Low-cost do-it-yourself (DIY) kit for glaucoma procedures.

Author

Pegu I, Venkatesh R, and Upadhyaya S

Abstract

Abstract: Surgical skill training in ophthalmology is pivotal for ensuring optimal and safe patient outcomes. Access to traditional training resources such as cadaveric or animal eyes, as well as modern alternatives such as silicone eyeballs and simulators, remains limited, especially in resource-constrained settings. We present a series of innovative and low-cost do-it-yourself (DIY) models for glaucoma training using readily available hospital waste materials. These models allow ophthalmic assistants, fellows, and junior consultants to practice various procedures before transitioning to live patients, thereby enhancing surgical proficiency and minimizing the financial burden on both trainees and training institutions. We were able to practice procedures such as tonometry, central corneal thickness measurement, laser suture lysis, laser iridotomy, anterior chamber decompression, bleb needling, trabeculectomy flap construction, and suturing. By providing a practical and easy training solution, these models have the potential to boost confidence among glaucoma trainees and thus address the growing demand for skilled glaucoma surgeons., (Copyright © 2024 Copyright: © 2024 Indian Journal of Ophthalmology.)

Published
2024
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