Ocular Imaging

Vision

The Ocular Images Analysis Research Group (OIARG) provides an environment to gather researchers which are interested in this field. This center is established in 2009, suggested by Dr. Hossein Rabbani, Associate Professor at School of Advanced Technologies In Medicine, Isfahan University of Medical Sciences. Weekly meetings of the center is almost held during the past years and the desired outcome of these sessions were guidance of the students working in this area, resolving the problems in current projects, and collecting ideas from ophthalmologists, faculty and postgraduate students for new projects. The main goals of this research center can be summarized into five main goals: Modeling, Preprocessing, Segmentation, Feature Extraction, and Classification. The mentioned topics are ordered from most principal subjects (modeling) to more practical areas (classification). The roadmap of this center is designed in a spiral form and which is capable of presenting interconnection among the subjects.

People

Chair: Dr. Hossein Rabbani

Professors: Dr. Raheleh Kafieh, Dr. Zahra Amini, Dr. Alireza Mehri, Dr. Fedra Hajizadeh, Dr. MohammadReza Akhlaghi

Students and Researchers: Reza Rasti, Ashkan Abbasi, Ramin Almasi, AbdolReza Rashno, Marzieh Mokhtari, Sahar Jorjandi, Atieh poorfarmanbar, Narjes Karami, Zeinab Ghasemi, Asieh Soltani, Elham Mousavi

Alumni: Zahra Amini, Mahdad Esmaeeli, Shirin Hajeb, Tahereh Mahmoodi, Mojtaba Lashgari, Jalil Jalili, Marzieh Mokhtari, Alieh Ahdi, Leila Niknam, Hajar Danesh, Mahdi Kazemian, Soheil Mohammadpour

History and Achievements

— The first session was held up in autumn 2009 and has been going on till now on Sundays at 2.00 pm

— 3rd rank in the OPTIMA Retinal Cyst Segmentation Challenge, MICCAI 2015 to extract the cysts from OCT images by Dr. Esmaeeli

— Election as the best booth in the second annual conference of AMT faculty

— The Winner of ICASSP 2011 Travel Grant

— The Winner of IEEE Signal Processing Society (SPS) Grant

— The Winner of IEEE ICIP Student Author Participation Award

— The winner of research Scholarship of TUBITAK 2216, 2014

Selective Publications

1-Rabbani H, Allingham MJ, Mettu PS, Cousins SW, Farsiu S. Fully Automatic Segmentation of Fluorescein Leakage in Subjects With Diabetic Macular EdemaAutomatic Leakage Segmentation in DME. Investigative ophthalmology & visual science. 2015 Mar 1;56(3):1482-92.

2- Amini Z, Rabbani H. Statistical Modeling of Retinal Optical Coherence Tomography. IEEE transactions on medical imaging. 2016 Jun;35(6):1544-54.

3- R. Kafieh, H. Rabbani, I. Selesnick, “Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography”, IEEE Transactions on Medical Imaging, accepted, 2014.

4- SH. Hajeb, H. Rabbani, MR. Akhlaghi, “A New Combined Method Based on Curvelet Transform and Morphological Operators for Automatic Detection of Foveal Avascular Zone”, Signal, Image & Video Processing (Springer), vol. 8, no. 2, pp. 205-222, Feb. 2014.

5- R. Kafieh, H. Rabbani, M. Sonka, M. D. Abramoff, “Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map”, Medical Image Analysis, vol. 17, no. 8, pp. 907-928, Dec. 2013.

6- R. Kafieh, H. Rabbani, F. Hajizadeh, M. Ommani, S. Kermani, “An Accurate Multimodal 3D Vessel Segmentation Method Based on Brightness Variations on OCT Layers and Curvelet Domain Fundus Image Analysis”, IEEE Transactions on Biomedical Engineering, vol. 60, no. 10, pp. 2815-2823, Oct. 2013.

7- H. Danesh, R. Kafieh, H. Rabbani, F. Hajizadeh, “Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using a Multiresolution Texture Based Modeling in Graph Cuts”, Computational and Mathematical Methods in Medicine, vol. 2014, Article ID

8- H. Rabbani, M. Sonka, M. D. Abramoff, “Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3-D Complex Wavelet Domain”, International Journal of Biomedical Imaging, vol. 2013, Article ID 417491, 23 pages.

9- M. Golabakhsh, H. Rabbani, “Vessel Based Registration of Fundus and OCT Projection Images of Retina Using a Quadratic Registration Model”, IET Image Processing, vol. 7, no. 8, pp. 768-776, Nov. 2013.

10- R. Kafieh, H. Rabbani, M. Sonka, M. D. Abramoff, “Curvature Correction of Retinal OCTs Using Graph-Based Geometry Detection”, Physics in Medicine & Biology, vol. 58, pp. 2925-2938, 2013

11- H. Rabbani, S. Gazor, “Video Denoising in 3-D Complex Wavelet Domain Using Local Bessel K-Form Prior”, IET Image Processing, vol. 6, no. 9, pp. 1262-1274, Dec. 2012.

12- M. Esmaeili, H. Rabbani, A. M. Dehnavi, A. Dehghani, “Automatic Detection of Exudates and Optic Disk in Retinal Images Using Curvelet Transform”, IET Image Processing, vol. 6, no. 7, pp. 1005-1013, Oct. 2012.

13- H. Rabbani, S. Gazor, “Video Denoising in 3-D Complex Wavelet Domain Using Local Bessel K-Form Prior”, IET Image Processing, vol. 6, no. 9, pp. 1262-1274, Dec. 2012.

14- SH. Hajeb, H. Rabbani, MR. Akhlaghi “Diabetic Retinopathy Grading by Digital Curvelet Transform”, Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 761901, 11 pages, 2012.

15- SH. Hajeb, H. Rabbani, A. M. Dehnavi, MR. Akhlaghi, SH. H. Javanmard, “Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy Severity Based on Curvelet Transform”, Graefe’s Archive for Clinical and Experimental Ophthalmology (Springer), vol. 250, no. 11, pp. 1607-1614, Nov. 2012.

16- R. Kafieh, H. Rabbani, “Combination of graph theoretic grouping and time-frequency analysis for image segmentation with an example for EDI-OCT”, in Proc. IEEE 2014 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 4-9, 2014, pp. 5115-5119.

17- T. Mahmudi, R. Kafieh, H. Rabbani, “Comparison of macular OCTs in right and left eyes of normal people”, in Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 90381K, San Diego, California, United States Feb. 15-20, 2014.

18- F. Ghasemi, H. Rabbani, “A statistical model for 3D segmentation of retinal choroid in optical coherence tomography images”, in Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 90381W, San Diego, California, United States Feb. 15-20, 2014.

19- Soltani, S. Sadri, H. Rabbani, A. Doost-Hosseini, “Vessel Centerlines Extraction from Fundus Fluorescein Angiogram Based on Hessian Analysis of Directional Curvelet Subbands”, in Proc. IEEE 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013, pp. 1070-1074.

20- R. Kafieh, H. Danesh, H. Rabbani, M. Sonka, M. D. Abramoff, “Vessel Segmentation in Images of Optical Coherence Tomography Using Shadow Information and Thickening of Retinal Nerve Fiber Layer”, in Proc. IEEE 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013, pp. 1075-1079.

21- R. Kafieh, H. Rabbani, M. Sonka, M. D. Abramoff, “Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using Diffusion Map”, in Proc. IEEE 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013, pp. 10801084.

22- MK. Jahromi, R. Kafieh, H. Rabbani, AM. Dehnavi, A. Peyman, F. Hajizadeh, M. Ommani, “An automatic algorithm for segmentation of the boundaries of corneal layers in optical coherence tomography images using gaussian mixture model”, Journal of medical signals and sensors. 2014 Jul;4(3):171.

23- R. Kafieh, H. Rabbani, M. D. Abramoff, M. Sonka, “OCT image alignment using diffusion maps”, accepted in IEEE 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.

24- R. Kafieh, H. Rabbani, “Optical coherence tomography noise reduction over learned dictionaries with introduction of complex wavelet for start dictionary”, in Wavelets and Sparsity XV, Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editors, Proceedings of SPIE Vol. 8858 (SPIE, Bellingham, WA 2013), 885826.

25- SH. Hajeb, H. Rabbani, “Automatic detection of micro-aneurysms in retinal images based on curvelet transform and morphological operations”, in Applications of Digital Image Processing XXXVI, Andrew G. Tescher, Editors, Proceedings of SPIE Vol. 8856 (SPIE, Bellingham, WA 2013), 88561W.

26- J. Jalili, H. Rabbani, R. Kafieh, A. Mehri, “Forming Projection Images From Each Layer of Retina Using Diffusion Map Based OCT Segmentation”, in Proc. 11th IEEE International Conference on Information Science, Signal Processing and their Applications, Quebec, Canada, 2012, pp. 930-934.

27- S. Mohammadpour, A. Mehri, H. Rabbani, V. Lakshminarayanan, “A Pre-Compensation Algorithm for Different Optical Aberrations Using an Enhanced Wiener Filter and Edge Tapering”, in Proc. 11th IEEE International Conference on Information Science, Signal Processing and their Applications, Quebec, Canada, 2012, pp. 935-939.

28- M. Esmaili, H. Rabbani, A. Mehri, A. Dehghani, “A new curvelet transform based method for extraction of red lesions in digital color retinal images”, in Proc. 2010 IEEE International Conference on Image Processing (ICIP), Hong Kong, 26-29 Sept. 2010, pp. 4093-4096, The Winner of IEEE Signal Processing Society (SPS) Grant.

29- M. Esmaili, H. Rabbani, A. Mehri, A. Dehghani, “Extraction of retinal blood vessels by curvelet transform”, in Proc. 2009 IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, Nov. 7-11, 2009, pp. 3353-3356, The Winner of IEEE ICIP Student Author Participation Award.

30- M. Esmaili, H. Rabbani, A. Mehri, A. Dehghani, “Automatic optic disk detection by the use of curvelet transform”, accepted in 9th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), Cyprus, 5-7 November, 2009.

Open Positions

— Designing a portable ocular imaging device

— Mathematical modeling of 3-D OCT images

— Geometrical modeling of 3-D OCT images

— Multivariate statistical modeling of 3-D OCT images

— Application of MCA for ocular images

— Classification of ocular images using the optimum basic functions

— Classification of vein and artery based on pulsation in angiographic images

— Segmentation of retinal layers of OCT images in patients with retinal holes

— Combination the information of OCT and ERG

— High Order Spectral (HOS) analysis of OCT images to analyze the layers

— Comparison of OCT images of left and right eyes in diabetic patients

— Glaucoma diagnosis based on RNFL tissue

— Comparison of GCL and RNFL thickness in OCT images

— Occlusion detection of vessels in OCT images

— Comparison of confocal microscopy with OCT projection in corneal imaging

— Vessel segmentation in EDI OCT

— Classification of retinal vessels by point elongation method

— Automatic detection of foci in OCT image

— Finding the optimal basis of retinal layers in OCT images

Contact us

Address: eight corner Cottage (former library), next to the EDC building, Isfahan University of Medical Sciences(IUMS)

Phone (direct line): +98 (31) 37923307-8

E-mail: [email protected]