Parabolic Modeling of the Major Temporal Arcade in Retinal Fundus Images

Monitoring measurements of the openness of the major temporal arcade (MTA) and how they change over time could facilitate improved diagnosis and optimized treatment of retinopathy. We propose methods for the detection, modeling, and measurement of the openness of the MTA, including Gabor filters to detect retinal vessels and the Hough transform to detect and parameterize parabolic forms. Results obtained with 40 images of the Digital Retinal Images for Vessel Extraction database, compared with traces of the MTA drawn by an expert ophthalmologist and a retinal specialist, indicate a low mean distance to the closest point of about 12 pixels (0.24 mm). The proposed methods should facilitate quantitative analysis of the MTA and overcome limitations associated with subjective manual analysis.

[1]  Hans C Fledelius,et al.  Optic disc appearance and retinal temporal vessel arcade geometry in high myopia, as based on follow‐up data over 38 years , 2010, Acta ophthalmologica.

[2]  Enrico Grisan,et al.  Detection of optic disc in retinal images by means of a geometrical model of vessel structure , 2004, IEEE Transactions on Medical Imaging.

[3]  Langis Gagnon,et al.  Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching , 2001, IEEE Transactions on Medical Imaging.

[4]  K. Parker,et al.  Semiautomated computer analysis of vessel growth in preterm infants without and with ROP , 2003, The British journal of ophthalmology.

[5]  Huiqi Li,et al.  Automated feature extraction in color retinal images by a model based approach , 2004, IEEE Transactions on Biomedical Engineering.

[6]  W. Tasman,et al.  Multicenter Trial of Cryotherapy for Retinopathy of Prematurity: ophthalmological outcomes at 10 years. , 2002, Archives of ophthalmology.

[7]  Leslie Mackeen,et al.  Dynamic documentation of the evolution of retinopathy of prematurity in video format. , 2008, Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus.

[8]  Hans Walther Larsen.  The ocular fundus: A color atlas , 1976 .

[9]  Lew Fock Chong Lew Yan Voon,et al.  Detecting parabolas in ultrasound B-scan images with Genetic-Based Inverse Voting Hough Transform , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[10]  D. Crawford.  Introduction , 2008, CACM.

[11]  Anna L Ells,et al.  Retinopathy of prematurity--the movie. , 2004, Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus.

[12]  Juan Xu,et al.  Automated Optic Disk Boundary Detection by Modified Active Contour Model , 2007, IEEE Transactions on Biomedical Engineering.

[13]  P. L. Hildebrand,et al.  The Impact on Resource Utilization with Telemedicine Integration to Evaluate ROP analysis of the Alberta ROP Telemedicine (ABROPT) Database , 2009 .

[14]  A R Fielder,et al.  The temporal retinal vessel angle and infants born preterm , 2006, British Journal of Ophthalmology.

[15]  Jyh-Charn Liu,et al.  Automated localization of macula-fovea area on retina images using blood vessel network topology , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[16]  Rangaraj M. Rangayyan,et al.  Parametric representation of the retinal temporal arcade , 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

[17]  Gabriella Sanniti di Baja,et al.  Skeletons of planar patterns , 1996 .

[18]  Jeffrey Ng,et al.  The temporal and nasal retinal arteriolar and venular angles in preterm infants , 2011, British Journal of Ophthalmology.

[19]  Bahram Khoobehi,et al.  Automatic Identification of Retinal Arteries and Veins From Dual-Wavelength Images Using Structural and Functional Features , 2007, IEEE Transactions on Biomedical Engineering.

[20]  S. T. Clay,et al.  Computerized analysis of retinal vessel width and tortuosity in premature infants. , 2008, Investigative ophthalmology & visual science.

[21]  Rangaraj M. Rangayyan,et al.  Design and performance analysis of oriented feature detectors , 2007, J. Electronic Imaging.

[22]  J. Olson,et al.  Automatic detection of retinal anatomy to assist diabetic retinopathy screening , 2007, Physics in medicine and biology.

[23]  Michael F Chiang,et al.  Interexpert agreement in the identification of macular location in infants at risk for retinopathy of prematurity. , 2010, Archives of ophthalmology.

[24]  Rangaraj M. Rangayyan,et al.  Detection of the temporal arcade in fundus images of the retina using the hough transform , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[25]  Farzin Deravi,et al.  Efficient algorithm for the detection of parabolic curves , 1995, Other Conferences.

[26]  CLASSIFICATION of retrolental fibroplasia. , 1953, American journal of ophthalmology.

[27]  Alfredo Ruggeri,et al.  A divide et impera strategy for automatic classification of retinal vessels into arteries and veins , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[28]  Bram van Ginneken,et al.  Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs , 2007, IEEE Transactions on Medical Imaging.

[29]  John Flynn,et al.  Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis , 2002, Medical Image Anal..

[30]  Jinglu Tan,et al.  Hough transforms for shape identification and applications in medical image processing , 2003 .

[31]  Rangaraj M. Rangayyan,et al.  Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis , 2010, Journal of Digital Imaging.

[32]  R. Rangayyan.  Biomedical Image Analysis , 2004 .

[33]  Kenneth W. Tobin,et al.  Detection of Anatomic Structures in Human Retinal Imagery , 2007, IEEE Transactions on Medical Imaging.

[34]  Karl-Hans Englmeier,et al.  Course tracking and contour extraction of retinal vessels from color fundus photographs: most efficient use of steerable filters for model-based image analysis , 1998, Medical Imaging.

[35]  Anna L. Ells,et al.  The International Classification of Retinopathy of Prematurity revisited. , 2005, Archives of ophthalmology.

[36]  Josef Kittler,et al.  A survey of the hough transform , 1988, Comput. Vis. Graph. Image Process..

[37]  Harry Wechsler,et al.  Finding the rib cage in chest radiographs , 1977, Pattern Recognit..

[38]  Rangaraj M. Rangayyan,et al.  Dual-parabolic modeling of the superior and the inferior temporal arcades in fundus images of the retina , 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

[39]  Scott T. Acton,et al.  A pyramidal algorithm for area morphology , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[40]  Ian J. Deary,et al.  Retinal image analysis: concepts, applications and potential , 2006 .

[41]  Jouko Lampinen,et al.  On steerability of Gabor-type filters for feature detection , 2007, Pattern Recognit. Lett..

[42]  Azriel Rosenfeld,et al.  Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..

[43]  Kwang Suk Park,et al.  Segmentation of sperms using the strategic hough transform , 1997, Annals of Biomedical Engineering.

[44]  Rangaraj M. Rangayyan,et al.  Detection of blood vessels in the retina with multiscale Gabor filters , 2008, J. Electronic Imaging.

[45]  Jack Sklansky,et al.  On the Hough Technique for Curve Detection , 1978, IEEE Transactions on Computers.

[46]  Josef Kittler,et al.  A formal definition of the Hough transform: Properties and relationships , 2004, Journal of Mathematical Imaging and Vision.