Department of Computer Science 5

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+49 9131 85 27270

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Universität Erlangen-Nürnberg
Chair of Computer Science 5 (Pattern Recognition)
Martensstrasse 3
91058 Erlangen
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Dept. of Computer Sc. » Pattern Recognition » Our Team » El-Rafei, Ahmed » Projects » Analysis of the Optic Radiation in Glaucoma Patients

Prof. Dr.-Ing. Ahmed El-Rafei

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

My vision in research is to develop state of the art image processing algorithms to facilitate the diagnostic medical flow

Analysis of the Optic Radiation in Glaucoma Patients

In this project the diffusion tensor imaging is investigated as an analysis tool of glaucoma. The diffusion tensor derived parameters within the optic radiation are examined and their ability in differentiating between normal and glaucoma subjects is investigated. We are concerned with the optic radiation as an important fiber bundle in the human visual system. The following different approaches are used for this purpose:

Histogram based analysis of the optic radiation

Diffusion tensor derived parameters such as anisotropy index (Fractional anisotropy) and diffusivity parameters (axial, radial and mean diffusivities) describe medically relevant fiber properties such as fiber integrity and degree of myelination. The mean of the histogram of these parameters within the optic radiation is used to investigate the correlation of glaucoma stages and the changes within the optic radiation fibers.

Voxel-based analysis of the optic radiation

In this work, we aim to localize the effect of glaucoma on the optic radiation. A framework for the identification and analysis of the optic radiation using diffusion tensor imaging (DTI) is proposed. The results indicate that the proposed framework is able to efficiently localize the effect of glaucoma on the optic radiation. The framework avoids the dependence on the tensor-derived parameters affected by glaucoma. Moreover, results are in agreement with previous studies showing global FA reduction associated with glaucoma. The system is able to efficiently localize the effect of glaucoma on the optic radiation. Further details about the framework can be found in the poster presented in the ARVO 2010.



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Department of Computer Science 5 Our Team El-Rafei, Ahmed Projects Automatic Segementation of the Optic Radiaiton Using DTI Analysis of the Optic Radiation in Glaucoma Patients Lectures Publications Thesis Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact +49 9131 85 27826 +49 9131 85 27270 09.158 Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstrasse 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » El-Rafei, Ahmed » Projects » Analysis of the Optic Radiation in Glaucoma Patients Prof. Dr.-Ing. Ahmed El-Rafei Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg My vision in research is to develop state of the art image processing algorithms to facilitate the diagnostic medical flow Analysis of the Optic Radiation in Glaucoma Patients In this project the diffusion tensor imaging is investigated as an analysis tool of glaucoma. The diffusion tensor derived parameters within the optic radiation are examined and their ability in differentiating between normal and glaucoma subjects is investigated. We are concerned with the optic radiation as an important fiber bundle in the human visual system. The following different approaches are used for this purpose: Histogram based analysis of the optic radiation Diffusion tensor derived parameters such as anisotropy index (Fractional anisotropy) and diffusivity parameters (axial, radial and mean diffusivities) describe medically relevant fiber properties such as fiber integrity and degree of myelination. The mean of the histogram of these parameters within the optic radiation is used to investigate the correlation of glaucoma stages and the changes within the optic radiation fibers. Voxel-based analysis of the optic radiation In this work, we aim to localize the effect of glaucoma on the optic radiation. A framework for the identification and analysis of the optic radiation using diffusion tensor imaging (DTI) is proposed. The results indicate that the proposed framework is able to efficiently localize the effect of glaucoma on the optic radiation. The framework avoids the dependence on the tensor-derived parameters affected by glaucoma. Moreover, results are in agreement with previous studies showing global FA reduction associated with glaucoma. The system is able to efficiently localize the effect of glaucoma on the optic radiation. Further details about the framework can be found in the poster presented in the ARVO 2010.