Presentation | 2010-05-14 Detecting retinal layers and optic nerve head structure using optical coherence tomography images : Automatic measurement of RNFL thickness and C/D ratio Makoto SHOHARA, Tetsuo ASANO, |
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Abstract(in English) | The optical coherence tomography(OCT)is widely used for the diagnosis of the glaucoma recently. It is important to measure the retinal structure quantitatively for the diagnosis. However the images obtained from the OCT are usually distorted by speckle noises and shadow of the vessels. Therefore, it is difficult to detect and measure the retinal layers using normal object detection methods. In our study, we use the advanced bilateral filter and local and adaptive tone correction methods for speckle noise reduction, the Intelligent Scissors method for detecting retinal layers, and the Structural Similarity(SSIM)for detecting the edge of the Retinal Pigment Epithelium(RPE). As a result, we can measure the RNFL thickness and C/D area ratio automatically. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Optical coherence tomography / OCT / Retina / Segmentation / Speckle noise reduction / C/D ratio |
Paper # | IE2010-33,PRMU2010-21,MI2010-21 |
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Committee | MI |
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Conference Date | 2010/5/6(1days) |
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Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Detecting retinal layers and optic nerve head structure using optical coherence tomography images : Automatic measurement of RNFL thickness and C/D ratio |
Sub Title (in English) | |
Keyword(1) | Optical coherence tomography |
Keyword(2) | OCT |
Keyword(3) | Retina |
Keyword(4) | Segmentation |
Keyword(5) | Speckle noise reduction |
Keyword(6) | C/D ratio |
1st Author's Name | Makoto SHOHARA |
1st Author's Affiliation | Japan Advanced Institute of Science and Technology() |
2nd Author's Name | Tetsuo ASANO |
2nd Author's Affiliation | Japan Advanced Institute of Science and Technology |
Date | 2010-05-14 |
Paper # | IE2010-33,PRMU2010-21,MI2010-21 |
Volume (vol) | vol.110 |
Number (no) | 28 |
Page | pp.pp.- |
#Pages | 5 |
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