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Automatic optic disc detection in oct slices via low rank reconstruction

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Final Year IEEE Projects for BE, B.Tech, ME, M.Tech,M.Sc, MCA & Diploma Students latest Java, .Net, Matlab, NS2, Android, Embedded,Mechanical, Robtics, VLSI, Power Electronics, IEEE projects are given absolutely complete working product and document providing with real time Software & Embedded training......

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Automatic optic disc detection in oct slices via low rank reconstruction

  1. 1. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com AUTOMATIC OPTIC DISC DETECTION IN OCT SLICES VIA LOW-RANK RECONSTRUCTION By A PROJECT REPORT Submitted to the Department of electronics &communication Engineering in the FACULTY OF ENGINEERING & TECHNOLOGY In partial fulfillment of the requirements for the award of the degree Of MASTER OF TECHNOLOGY IN ELECTRONICS &COMMUNICATION ENGINEERING APRIL 2016
  2. 2. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com CERTIFICATE Certified that this project report titled “Automatic Optic Disc Detection in OCT Slices via Low- Rank Reconstruction” is the bonafide work of Mr. _____________Who carried out the research under my supervision Certified further, that to the best of my knowledge the work reported herein does not form part of any other project report or dissertation on the basis of which a degree or award was conferred on an earlier occasion on this or any other candidate. Signature of the Guide Signature of the H.O.D Name Name
  3. 3. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com DECLARATION I hereby declare that the project work entitled “Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction” Submitted to BHARATHIDASAN UNIVERSITY in partial fulfillment of the requirement for the award of the Degree of MASTER OF APPLIED ELECTRONICS is a record of original work done by me the guidance of Prof.A.Vinayagam M.Sc., M.Phil., M.E., to the best of my knowledge, the work reported here is not a part of any other thesis or work on the basis of which a degree or award was conferred on an earlier occasion to me or any other candidate. (Student Name) (Reg.No) Place: Date:
  4. 4. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com ACKNOWLEDGEMENT I am extremely glad to present my project “Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction” which is a part of my curriculum of third semester Master of Science in Computer science. I take this opportunity to express my sincere gratitude to those who helped me in bringing out this project work. I would like to express my Director,Dr. K. ANANDAN, M.A.(Eco.), M.Ed., M.Phil.,(Edn.), PGDCA., CGT., M.A.(Psy.)of who had given me an opportunity to undertake this project. I am highly indebted to Co-OrdinatorProf. Muniappan Department of Physics and thank from my deep heart for her valuable comments I received through my project. I wish to express my deep sense of gratitude to my guide Prof. A.Vinayagam M.Sc., M.Phil., M.E., for her immense help and encouragement for successful completion of this project. I also express my sincere thanks to the all the staff members of Computer science for their kind advice. And last, but not the least, I express my deep gratitude to my parents and friends for their encouragement and support throughout the project.
  5. 5. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com ABSTRACT: Optic disc measurements provide useful diagnostic information as they have correlations with certain eye diseases. In this paper, we provide an automatic method for detecting the optic disc in a single OCT slice. Our method is developed from the observation that the retinal pigment epithelium (RPE) which bounds the optic disc has a low-rank appearance structure that differs from areas within the disc. To detect the disc, our method acquires from the OCT image an RPE appearance model that is specific to the individual and imaging conditions, by learning a low-rank dictionary from image areas known to be part of the RPE according to priors on ocular anatomy. The edge of the RPE, where the optic disc is located, is then found by traversing the retinal layer containing the RPE, reconstructing local appearance with the low-rank model, and detecting the point at which appearance starts to deviate (i.e., increased reconstruction error). To aid in this detection, we also introduce a geometrical constraint called the distance bias that accounts for the smooth shape of the RPE. Experiments demonstrate that our method outperforms other OCT techniques in localizing the optic disc and estimating disc width. Moreover, we also show the potential usage of our method on optic disc area detection in 3-D OCT volumes
  6. 6. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com INTRODUCTION: The location where ganglion cell axons exit in the eye to form the optic nerve is called the optic disc. Since the measurement of the optic disc is important for many medical applications such as glaucoma screening , and large exudative lesion analysis , there has been much recent effort on automatically detecting the optic disc in ocular images. Many existing optic disc detection methods focus on segmenting the optic disc region in fundus images. For example, Xu et al. employed the deformable model technique through minimization of an energy function to detect the disc. Cheng et al. optic disc detection as a superpixel classifi- cation problem based on center- surround statistics. The method of Morales et al. Extracted the optic disc contour based on mathematical morphology and principal components analysis. However, a major problem of these methods is that they easily fail when the optic disc does not have a distinct color in the fundus image. A relatively new imaging technique called optical coherence tomography (OCT) provides a clearer view of intraretinal morphology and enables noninvasive depth-resolved functional imaging of the retina. In an OCT slice, the boundary of the optic disc appears at the end of the retinal pigment epithelium (RPE) as shown in Some OCT-based optic disc detection methods operate on 3-D OCT volumes. For example, Lee et al. Extracted intraretinal surfaces from 3-D OCT volumes, and classifies the optic disc, cup, and neuroretinal rim using a k-NN classifier. Miri et al. Provided a multimodal pixel-classification approach to segment the optic disc by combining information from stereo fundus images and an OCT volume. However, acquisition of numerous OCT slices for 3-D reconstruction is susceptible to misalignment error due to eye movement. Although 3-D volume scanning acquisition is becoming more common with advances in OCT technology, Examination of a single B-scan for optic disc detection remains an important problem in practice for routine clinical applications. In the state-of-the-art method for optic disc detection from a single OCT slice, Boyer et al. Extracted Hadamard transform features along a retinal layer containing the RPE, and grouped the features into two clusters to identify the optic disc endpoints. However, feature-based clustering can be sensitive to appearance variations due to noise and blood vessel shadows in the OCTimage. Moreover, the method in does not take advantage of the smooth geometric structure of the RPE in localizing the optic disc endpoints.
  7. 7. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com In this paper, we present a general technique for optic disc detection in a single OCT slice via low-rank reconstruction. Based on retinal structure priors, we divide the pixels along the RPE layer boundary into training data and optic disc edge candidates. A low-rank dictionary is learned from the training data to reconstruct candidate pixels, and the reconstruction error is used to identify the beginning of the optic disc. The main contributions of this paper are as follows: 1) We present an optic disc detection method via low-rank reconstruction, where learning of the low-rank dictionary is beneficial for handling noise and vessel shadows in OCT slices. 2) The reconstruction process does not rely on prelabeled training samples. The training data is extracted from the single given OCT slice itself using retinal structure priors. 3) A geometrical constraint that accounts for the smooth shape of the RPE, called the distance bias, is provided to improve accuracy. 4) Our method not only obtains encouraging performance in localizing the optic disc and estimating disc width from a single OCT slice, but also has potential for optic disc area detection in 3-D OCT volumes.
  8. 8. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com CONCLUSION: In this paper, we have proposed a method for detecting the optic disc in a single OCT slice. Our method takes advantage of the low-rank appearance structure and smooth shape variation along the RPE to identify the RPE endpoints that bound the optic disc. The low-rank dictionary discovers the intrinsic appearance structure of the RPE layer from training data that may contain outlier elements such as heavy noise and vessel shadows. Through a combination of low-rank reconstruction errors and a prior on RPE shape, the transition from RPE to optic disc can be detected with high accuracy in comparison to the current state-of-the-art methods. Moreover, our approach can also be employed to handle 3-D OCT volumes, for which promising results are also achieved.
  9. 9. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com REFERENCES: [1] B. Chauhan and C. Burgoyne, “From clinical examination of the optic disc to clinical assessment of the optic nerve head: A paradigm change,” Amer. J. Ophthalmol., vol. 156, no. 2, pp. 218–227, 2013. [2] S. Yousefi et al., “Glaucoma progression detection using structural retinal nerve fiber layer measurements and functional visual field points,” IEEE Trans. Biomed. Eng., vol. 61, no. 4, pp. 1143–1154, Apr. 2014. [3] M. Foracchia et al., “Detection of optic disc in retinal images by means of a geometrical model of vessel structure,” IEEE Trans. Med. Imag., vol. 23, no. 10, pp. 1189–1195, Oct. 2004. [4] J. Xu et al., “Automated optic disk boundary detection by modified active contour model,” IEEE Trans. Biomed. Eng., vol. 54, no. 3, pp. 473–482, Mar. 2007. [5] Y. Zheng et al., “Optic disc and cup segmentation from color fundus photograph using graph cut with priors,” in Proc. Med. Imag. Comput. Comput. Assist. Intervent., 2013, pp. 75–82. [6] Y. Xu et al., “Reconstruction-based optic cup localization for glaucoma screening,” in Proc. Med. Imag. Comput. Comput. Assist. Intervent., 2013, pp. 445–452. [7] J. Cheng et al., “Superpixel classification based optic disc and optic cup segmentation for glaucoma screening,” IEEE Trans. Med. Imag., vol. 32, no. 6, pp. 1019–1032, Jun. 2013.

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