Methods of measuring the iridocorneal angle in tomographic images of the anterior segment of the eye

IntroductionThis paper presents the problem of automatic measurement of the iridocorneal angle in tomographic images of the anterior segment of the eye. It includes the results of the comparison of well-known methods for measuring the iridocorneal angle with new methods, proposed in this paper. All these methods concern tomographic image analysis and processing.Material and methodIn total, approximately 100’000 tomographic images (from about 6’000 patients) were analysed. They were obtained using two devices: SOCT Copernicus (Optopol Tech. SA, Zawiercie, Poland) and Visante OCT (Carl Zeiss Meditec, Inc, Dublin, California, USA). The patients, aged 12 to 78 years with varying degrees of the iridocorneal angle pathology, were from the region of Silesia, Poland. The images were in DICOM or RAW formats and analysed in the software developed by the authors for the purposes of this study.ResultsThe results indicate that the measurement method proposed by the authors, which is based on the calculation of the minimum distance between the iris and the cornea in the adopted area, is the most accurate. For this method sensitivity was 0.88, specificity 0.89 and the area under the Receiver Operating Characteristic curve (AUC) was 0.88. The other known methods for measuring the iridocorneal angle gave worse results, that is, for example, for the measurement of the distance between the iris and the cornea AUC = 0.87, sensitivity = 0.86 and specificity = 0.71. For another well-known method of measuring the iridocorneal angle AUC = 0.77, sensitivity = 0.82 and specificity = 0.61.ConclusionsThe study proved that the proposed method of measuring the minimum distance between the iris and the cornea within the adopted area is the most effective in the classification of the iridocorneal angle in patients with a high degree of pathology of all the compared measurement methods based on tomographic images. However, it requires fully automated measurement.

[1]  C. Phillips,et al.  CLOSED-ANGLE GLAUCOMA SIGNIFICANCE OF SECTORAL VARIATIONS IN ANGLE DEPTH* , 1956, The British journal of ophthalmology.

[2]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[3]  J. Fitzpatrick,et al.  Medical image processing and analysis , 2000 .

[4]  Andreas Hoppe,et al.  INVESTIGATION OF A COMBINED TEXTURE AND CONTOUR METHOD FOR SEGMENTATION OF LIGHT MICROSCOPY CELL IMAGES , 2003 .

[5]  Hiroshi Ishikawa,et al.  Anterior segment imaging: ultrasound biomicroscopy. , 2004, Ophthalmology clinics of North America.

[6]  Jay Wei,et al.  Static and dynamic analysis of the anterior segment with optical coherence tomography , 2004, Journal of cataract and refractive surgery.

[7]  D. Pham,et al.  Noncontact goniometry with optical coherence tomography. , 2005, Archives of ophthalmology.

[8]  Robert Ritch,et al.  Ciliary body thickness increases with increasing axial myopia. , 2005, American journal of ophthalmology.

[9]  A. Day,et al.  Optical coherence tomography in anterior segment imaging. , 2007, Acta ophthalmologica Scandinavica.

[10]  Robert Ritch,et al.  Narrow angles and angle closure: anatomic reasons for earlier closure of the superior portion of the iridocorneal angle. , 2007, Archives of ophthalmology.

[11]  Tin Aung,et al.  Reproducibility of anterior chamber angle measurements obtained with anterior segment optical coherence tomography. , 2007, Investigative ophthalmology & visual science.

[12]  Tanuj Dada,et al.  Comparison of anterior segment optical coherence tomography and ultrasound biomicroscopy for assessment of the anterior segment , 2007, Journal of cataract and refractive surgery.

[13]  Chungkwon Yoo,et al.  Peripheral Anterior Synechiae and Ultrasound Biomicroscopic Parameters in Angle-Closure Glaucoma Suspects , 2007, Korean journal of ophthalmology : KJO.

[14]  P. Porwik,et al.  Some Handwritten Signature Parameters in Biometric Recognition Process , 2007, 2007 29th International Conference on Information Technology Interfaces.

[15]  J. Jonas,et al.  Anterior chamber depth and chamber angle and their associations with ocular and general parameters: the Beijing Eye Study. , 2008, American journal of ophthalmology.

[16]  Tin Aung,et al.  Assessment of the scleral spur in anterior segment optical coherence tomography images. , 2008, Archives of ophthalmology.

[17]  Russell N Van Gelder,et al.  Aqueous and vitreous concentrations following topical administration of 1% voriconazole in humans. , 2008, Archives of ophthalmology.

[18]  Jing Liu,et al.  Anterior chamber angle measurement with anterior segment optical coherence tomography: a comparison between slit lamp OCT and Visante OCT. , 2008, Investigative ophthalmology & visual science.

[19]  O Muftuoglu,et al.  Ciliary body thickness in unilateral high axial myopia , 2009, Eye.

[20]  Richard L. Van Metter,et al.  Handbook of Medical Imaging , 2009 .

[21]  Zygmunt Wróbel,et al.  Hierarchic Approach in the Analysis of Tomographic Eye Image , 2009, IFSA/EUSFLAT Conf..

[22]  Liang Xu,et al.  The Beijing Eye Study , 2009, Acta ophthalmologica.

[23]  Zygmunt Wróbel,et al.  Layers Recognition in Tomographic Eye Image Based on Random Contour Analysis , 2009, Computer Recognition Systems 3.

[24]  Zygmunt Wróbel,et al.  Automatic Measuring of the Iridocorneal Angle in the Optical Coherence Tomographic Image of the Anterior Segment of the Eye , 2010 .

[25]  Shu Liu,et al.  Assessment of Scleral Spur Visibility With Anterior Segment Optical Coherence Tomography , 2010, Journal of glaucoma.

[26]  A. Wells,et al.  Changes in Caucasian eyes after laser peripheral iridotomy: an anterior segment optical coherence tomography study , 2010, Clinical & experimental ophthalmology.

[27]  Ki Ho Park,et al.  Changes in Anterior Chamber Configuration after Cataract Surgery as Measured by Anterior Segment Optical Coherence Tomography , 2011, Korean journal of ophthalmology : KJO.

[28]  Kenji Kashiwagi,et al.  Comparison of the anterior ocular segment measurements using swept-source optical coherent tomography and a scanning peripheral anterior chamber depth analyzer , 2011, Japanese Journal of Ophthalmology.

[29]  Shu Liu,et al.  Anterior chamber angle imaging with swept-source optical coherence tomography: an investigation on variability of angle measurement. , 2011, Investigative ophthalmology & visual science.

[30]  Robert Koprowski,et al.  Image Processing in Optical Coherence Tomography: Using Matlab , 2011 .

[31]  M. Iwanowski,et al.  Multistage morphological segmentation of bright-field and fluorescent microscopy images , 2012 .