Real-time Fully Automated Internal Layer Segmentation of Human Retina in Optical Coherence Tomography Images
Youngmin Han1, Naresh Kumar Ravichandran2, Pilun Kim3, Mansik Jeon4, Jeehyun Kim5
1Youngmin Han, Department of Nuclear Energy Convergence, Kyungil University, Gyeongsan-si, Gyeongbuk, Republic of Korea.
2Naresh Kumar Ravichandran, School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehak-ro, Bukgu, Daegu, Republic of Korea.
3Pilun Kim, Institute of Biomedical Engineering Research, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, Republic of Korea.
4Mansik Jeon, School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehak-ro, Bukgu, Daegu, Republic of Korea.
5Jeehyun Kim, School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehak-ro, Bukgu, Daegu, Republic of Korea.
Manuscript received on May 06, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 1951-1957 | Volume-9 Issue-5, June 2020. | Retrievaumber: C5632029320/2020©BEIESP | DOI: 10.35940/ijeat.C5632.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the field of ophthalmology, optical coherence tomography (OCT) has proven to be a powerful imaging technique when it comes to diagnosing various eye-related diseases. This research article introduces a real-time automatic retinal layer segmentation algorithm based on intensity variation in the OCT images. The built algorithm is capable of detecting internal retinal layers like the internal limiting membrane (ILM), the retinal pigment epithelium (RPE) and the retinal nerve fiber layer (RNFL) with micrometer level precision, the algorithm uses openMP for parallelized computation for real-time visualization of the segmented retinal layers. The total execution time of the algorithm was evaluated using various image sizes and compared with the OCT frame rate to demonstrate the efficiency of real-time segmentation.
Keywords: Layer Segmentation, Optical Coherence Tomography, Real-time, Retina.