Smartphone-based fundus imaging: applications and adapters

被引:6
|
作者
Jansen, Linus G. [1 ]
Schultz, Thomas [2 ,3 ]
Holz, Frank G. [1 ]
Finger, Robert P. [1 ]
Wintergerst, Maximilian W. M. [1 ]
机构
[1] Univ Klinikum Bonn, Klin Augenheilkunde, Ernst Abbe Str 2, D-53127 Bonn, Germany
[2] Univ Bonn, Inst Informat 2, Bonn, Germany
[3] Univ Bonn, Bonn Aachen Int Ctr Informat Technol B IT, Bonn, Germany
来源
OPHTHALMOLOGE | 2022年 / 119卷 / 02期
关键词
mHealth; eHealth; Smartphone adapter; Telemedicine; Digitalization; SLIT-LAMP BIOMICROSCOPY; DIABETIC-RETINOPATHY; RETINAL CAMERA; MOBILE PHONE; PHOTOGRAPHY; OPHTHALMOSCOPY; PREMATURITY; FEASIBILITY; SPECIFICITY; SENSITIVITY;
D O I
10.1007/s00347-021-01536-9
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Background Smartphone-based fundus imaging (SBFI) is an innovative and low-cost alternative for color fundus photography. Since the first reports on this topic more than 10 years ago a large number of studies on different adapters and clinical applications have been published. Objective The aim of this review article is to provide an overview on the development of SBFI and adapters and clinical applications published so far. Material and methods A literature search was performed using the MEDLINE and Science Citation Index Expanded databases without time restrictions. Results Overall, 11 adapters were included and compared in terms of exemplary image material, field of view, acquisition costs, weight, software, application range, smartphone compatibility and certification. Previously published SBFI applications are screening for diabetic retinopathy, glaucoma and retinopathy of prematurity as well as the application in emergency medicine, pediatrics and medical education/teaching. Image quality of conventional retinal cameras is in general superior to SBFI. First approaches on automatic detection of diabetic retinopathy through SBFI are promising and the use of automatic image processing algorithms enables the generation of wide-field image montages. Conclusion SBFI is a versatile, mobile, low-cost alternative to conventional equipment for color fundus photography. In addition, it facilitates the delegation of ophthalmological examinations to assistance personnel in telemedical settings, could simplify retinal documentation, improve teaching, and improve ophthalmological care, particularly in countries with low and middle incomes.
引用
收藏
页码:112 / 126
页数:15
相关论文
共 50 条
  • [1] Smartphone-based fundus imaging: applications and adapters
    Jansen, Linus G.
    Schultz, Thomas
    Holz, Frank G.
    Finger, Robert P.
    Wintergerst, Maximilian W. M.
    OPHTHALMOLOGIE, 2022, 119 (02): : 112 - 126
  • [2] Smartphone-based fundus imaging system
    Cong Jing
    Zu Ming-ming
    Li Hong-tao
    Cui Xiao-yu
    Chen Shuo
    Xi Peng
    CHINESE OPTICS, 2019, 12 (01): : 97 - 103
  • [3] Assessment of a smartphone-based camera for fundus imaging in animals
    Balland, Olivier
    Russo, Andrea
    Isard, Pierre-Francois
    Mathieson, Iona
    Semeraro, Francesco
    Dulaurent, Thomas
    VETERINARY OPHTHALMOLOGY, 2017, 20 (01) : 89 - 94
  • [4] Smartphone-basierte Fundusfotografie: Anwendungen und AdapterSmartphone-based fundus imaging: applications and adapters
    Linus G. Jansen
    Thomas Schultz
    Frank G. Holz
    Robert P. Finger
    Maximilian W. M. Wintergerst
    Der Ophthalmologe, 2022, 119 (2): : 112 - 126
  • [5] Smartphone-Based Fundus Imaging-Where Are We Now?
    Wintergerst, Maximilian W. M.
    Jansen, Linus G.
    Holz, Frank G.
    Finger, Robert P.
    ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY, 2020, 9 (04): : 308 - 314
  • [6] Smartphone-based Nonmydriatic Fundus Imaging for Remote Glaucoma Screening
    Ramsey, David J.
    LaMonica, Lauren C.
    Bhardwaj, Mahesh
    Naseri, Take
    Reupena, Muagatutia Sefuiva
    Cooper, Michael Lee
    Cotran, Paul R.
    Roh, Shiyoung
    Hawley, Nicola L.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [7] Smartphone-based Nonmydriatic Fundus Imaging to Detect Diabetic Retinopathy
    Bhardwaj, Mahesh Kumar
    Stratton, Samuel
    Roh, Shiyoung
    Luna, Jorge
    Cotran, Paul R.
    Ramsey, David J.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (07)
  • [8] Diabetic Retinopathy Screening Using Smartphone-Based Fundus Imaging in India
    Wintergerst, Maximilian W. M.
    Mishra, Divyansh K.
    Hartmann, Laura
    Shah, Payal
    Konana, Vinaya K.
    Sagar, Pradeep
    Berger, Moritz
    Murali, Kaushik
    Holz, Frank G.
    Shanmugam, Mahesh P.
    Finger, Robert P.
    OPHTHALMOLOGY, 2020, 127 (11) : 1529 - 1538
  • [9] Smartphone-based fundus documentation in retinopathy of prematurity
    Raju, Biju
    Raju, N. S. D.
    Akkara, John Davis
    Pathengay, Avinash
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2019, 67 (11) : 1909 - 1909
  • [10] Commentary: Retinopathy of prematurity screening made simple - Smartphone-based fundus imaging
    Panchal, Bhavik
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2019, 67 (06) : 839 - 839