Air-Puff Tonometers presents the latest achievements and research works in the area of intraocular pressure measurement by the air-puff method. This method is used, for example, by the Corvis® ST, owing to the ultra-high-speed Scheimpflug camera, which records corneal deformation being the response to an air puff. This book is recommended reading for those involved in the analysis and processing of images and wanting to expand their knowledge of contemporary diagnostic methods and image analysis.
Author(s): Robert Koprowski
Series: IOP Series in Medical and Biological Image Analysis
Publisher: IOP Publishing
Year: 2019
Language: English
Pages: 400
City: Bristol
PRELIMS.pdf
Preface
Editor biography
Robert Koprowski
Contributor List
CH001.pdf
Chapter 1 Corvis ST tonometer and the possibility of analysing corneal deformation dynamics during intraocular pressure measurement
1.1 Introduction
1.2 Basics of measurements with the Corvis ST tonometer
1.3 Available parameters
1.4 Characteristics of dynamic corneal response parameters
1.5 Biomechanical-compensated IOP (bIOP) and dynamic corneal response parameters in the available literature
1.5.1 Repeatability of biomechanical-compensated IOP (bIOP) values as well as new corneal parameters
1.5.2 Keratoconus
1.6 Image processing for obtaining new biomechanical parameters of the cornea
1.7 Modelling of dynamic corneal deformation
1.8 Summary
Acknowledgements
References
CH002.pdf
Chapter 2 Air-puff devices, not just tonometry
2.1 Introduction
2.2 How the instruments work
2.2.1 ORA
2.2.2 Corvis ST
2.3 Accuracy and repeatability
2.3.1 ORA
2.3.2 Corvis
2.4 Corneal deformation in healthy corneas
2.4.1 ORA
2.4.2 Corvis
2.5 Corneal deformation in diseased corneas
2.5.1 ORA
2.5.2 Corvis
2.6 Corneal deformation after surgery
2.6.1 ORA
2.6.2 Corvis
2.7 Studies regarding software improvements
2.8 Conclusions
References
CH003.pdf
Chapter 3 Clinical applications of the Corvis ST for glaucoma
3.1 Introduction
3.2 Basic description of the Corvis ST
3.3 bIOP: concept and first clinical results
3.4 Conclusion
References
CH004.pdf
Chapter 4 Evaluation of the algorithms utilised to diagnose keratoconus for the Corvis ST
4.1 Introduction
4.2 Methods
4.2.1 Patients with keratoconus
4.2.2 Participants
4.2.3 Examinations
4.2.4 Additional algorithms
4.2.5 Statistical analysis
4.3 Results
4.3.1 Patient and participant demographics and descriptors
4.3.2 Receiver operating characteristic analysis
4.4 Discussion
References
CH005.pdf
Chapter 5 Intraocular pressure and three-dimensional corneal biomechanics
5.1 Behind the need for change in glaucoma diagnosis: IOP and corneal biomechanics
5.2 Patient-specific geometry: three-dimensional corneal shape
5.3 Corneal biomechanics: traditional ex vivo mechanical testing
5.4 Corneal biomechanics and IOP: linking non-invasive imaging and simulations
5.5 Novel concepts to decipher corneal biomechanics in 3D and IOP
5.6 Looking for new alternatives in IOP measurements
References
CH006.pdf
Chapter 6 Ultra-high-speed Scheimpflug imaging for intraocular pressure measurements
6.1 IOP measurements with the Corvis ST
6.2 Assessment of corneal biomechanical properties with the Corvis ST
6.3 Biomechanical corrected IOP (bIOP)
6.4 Simulation-based versus empirically-derived correction formulas
6.5 Accuracy of bIOP in patients after refractive surgery
6.6 bIOP measurements in patients with keratoconus
6.7 Ongoing Corvis ST studies in glaucoma
6.8 Summary
References
