The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
Gh Plesu - One of the best experts on this subject based on the ideXlab platform.
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Macula of Retina spherical calotte with its focus right image on the Retina applications biophotonics laser holographic theory of vision apparatus for the study of human vision
Acta Ophthalmologica, 2013Co-Authors: Gh PlesuAbstract:Purpose The paper presents the results of theoretical multidisciplinary studies, whose purpose was to study the biophysical mechanism of vision, but taking in account Macula’s form as spherical callote and its own focus, the structure and functioning of the human eye as a biphocal laser system (cornea and Macula focus) with holographic elements, to establish the holographic biophotonic mechanism of vision according to the Biological Lasers Theory, to verify the hypothesis using the bionic method. Methods For experimental method we built two optical devices, which to be in line with the latest anatomical data of the eye, al 5:1 and 10:1 scale, according to laser holographic biophotonic model of the human eye: optic monocular apparatus or bionic eye- compact model and scaffold type, which are models of bifocal laser system with intermediate holographic system. Results The results and discussions of studies offer great surprises. The image at Macula pole may be directly observed, as a right position, colored, dynamic, much diminished and it may be transmitted from one pole to the other, but has a sense daytime and an inverted sense nighttime, as dreams images. The two optic apparatus confirm the laser holographic biophotonic mechanism of human vision. Conclusion The conclusions of the theoretical and bionic method studies are that Vision Photographic Theory is moral and technical outdated. The Vision Holographic Biophotonic Theory VHBT is modern and according to the principles of lasers, holography, liquid crystals, the nonlinear optics, electronics, biophotonic and human eye physiology. Commercial interest
Yoshiaki Kiuchi - One of the best experts on this subject based on the ideXlab platform.
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Deformation of Macula area under compulsory increase of eye pressure
2012 IEEE International Conference on Mechatronics and Automation, 2012Co-Authors: Yosuke Kimura, Iwao Izumi, Makoto Kaneko, Yasushi Ikuno, Atsuya Miki, Yukari Jo, Yoshiaki KiuchiAbstract:This paper discusses the deformation of Macula of Retina by applying a compulsory eye pressure increase through a probe with force gauge. By using the caribration data between the eye pressure and the force gauge, we impart the force corresponding to 50 [mmHg] of eye pressure to eyelid. Through OCT data before and after compulsory eye pressure increase, we analyze the deformation of Macula for three different layers. An interesting observation is that Macula suffered by glaucoma has thinner layer and smaller deformation than that of normal subjects, especially the characteristic is enhanced in both the surface and bottom layers, while it is not in the middle layer.
Ubaidullah Yasin - One of the best experts on this subject based on the ideXlab platform.
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Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula
Journal of Medical Systems, 2018Co-Authors: Taimur Hassan, M. Usman Akram, Mahmood Akhtar, Shoab Ahmad Khan, Ubaidullah YasinAbstract:Maculopathy is the group of diseases that affects central vision of a person and they are often associated with diabetes. Many researchers reported automated diagnosis of maculopathy from optical coherence tomography (OCT) images. However, to the best of our knowledge there is no literature that presents a complete 3D suite for the extraction as well as diagnosis of Macula. Therefore, this paper presents a multilayered convolutional neural networks (CNN) structure tensor Delaunay triangulation and morphing based fully autonomous system that extracts up to nine Retinal and choroidal layers along with the Macular fluids. Furthermore, the proposed system utilizes the extracted Retinal information for the automated diagnosis of maculopathy as well as for the robust reconstruction of 3D Macula of Retina. The proposed system has been validated on 41,921 Retinal OCT scans acquired from different OCT machines and it significantly outperformed existing state of the art solutions by achieving the mean accuracy of 95.27% for extracting Retinal and choroidal layers, mean dice coefficient of 0.90 for extracting fluid pathology and the overall accuracy of 96.07% for maculopathy diagnosis. To the best of our knowledge, the proposed framework is first of its kind that provides a fully automated and complete 3D integrated solution for the extraction of candidate Macula along with its fully automated diagnosis against different Macular syndromes.
Yosuke Kimura - One of the best experts on this subject based on the ideXlab platform.
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Deformation of Macula area under compulsory increase of eye pressure
2012 IEEE International Conference on Mechatronics and Automation, 2012Co-Authors: Yosuke Kimura, Iwao Izumi, Makoto Kaneko, Yasushi Ikuno, Atsuya Miki, Yukari Jo, Yoshiaki KiuchiAbstract:This paper discusses the deformation of Macula of Retina by applying a compulsory eye pressure increase through a probe with force gauge. By using the caribration data between the eye pressure and the force gauge, we impart the force corresponding to 50 [mmHg] of eye pressure to eyelid. Through OCT data before and after compulsory eye pressure increase, we analyze the deformation of Macula for three different layers. An interesting observation is that Macula suffered by glaucoma has thinner layer and smaller deformation than that of normal subjects, especially the characteristic is enhanced in both the surface and bottom layers, while it is not in the middle layer.
Taimur Hassan - One of the best experts on this subject based on the ideXlab platform.
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Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula
Journal of Medical Systems, 2018Co-Authors: Taimur Hassan, M. Usman Akram, Mahmood Akhtar, Shoab Ahmad Khan, Ubaidullah YasinAbstract:Maculopathy is the group of diseases that affects central vision of a person and they are often associated with diabetes. Many researchers reported automated diagnosis of maculopathy from optical coherence tomography (OCT) images. However, to the best of our knowledge there is no literature that presents a complete 3D suite for the extraction as well as diagnosis of Macula. Therefore, this paper presents a multilayered convolutional neural networks (CNN) structure tensor Delaunay triangulation and morphing based fully autonomous system that extracts up to nine Retinal and choroidal layers along with the Macular fluids. Furthermore, the proposed system utilizes the extracted Retinal information for the automated diagnosis of maculopathy as well as for the robust reconstruction of 3D Macula of Retina. The proposed system has been validated on 41,921 Retinal OCT scans acquired from different OCT machines and it significantly outperformed existing state of the art solutions by achieving the mean accuracy of 95.27% for extracting Retinal and choroidal layers, mean dice coefficient of 0.90 for extracting fluid pathology and the overall accuracy of 96.07% for maculopathy diagnosis. To the best of our knowledge, the proposed framework is first of its kind that provides a fully automated and complete 3D integrated solution for the extraction of candidate Macula along with its fully automated diagnosis against different Macular syndromes.
