Automated registration and enhanced processing of clinical optical coherence tomography angiography
| العنوان: | Automated registration and enhanced processing of clinical optical coherence tomography angiography |
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| المؤلفون: | David J. Wilson, Brandon J. Lujan, Acner Camino, Yali Jia, David Huang, Changlei Dongye, Alex D. Pechauer, Steven T. Bailey, Thomas S. Hwang, Miao Zhang |
| المصدر: | Quantitative Imaging in Medicine and Surgery. 6:391-401 |
| بيانات النشر: | AME Publishing Company, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | genetic structures, business.industry, Computer science, Spectral domain, Optical coherence tomography angiography, Filter (signal processing), Residual, 01 natural sciences, Thresholding, Visualization, 010309 optics, 03 medical and health sciences, 0302 clinical medicine, Vessel density, Motion artifacts, 0103 physical sciences, 030221 ophthalmology & optometry, Original Article, Radiology, Nuclear Medicine and imaging, Computer vision, Artificial intelligence, business |
| الوصف: | BACKGROUND Motion artifacts degrade the quality of optical coherence tomography angiography (OCTA). Orthogonal registration can eliminate the majority of these artifacts, but some artifacts persist in most clinical images. We evaluate an automated registration algorithm with selective merging and filtering to remove remaining artifacts and improve the quality of images. METHODS A 70 kHz commercial spectral domain OCT was used to obtain 3 mm × 3 mm OCTA in 10 healthy, 5 age-related macular degeneration (AMD), and 31 diabetic retinopathy (DR) participants. Projection artifacts were removed and images were segmented into 3 inner retinal plexuses. Amplitude thresholding identified lines containing a residual artifact and correlation between neighboring lines identified distorted stripes. Then the angiograms were registered and the lines selectively merged. A vesselness filter was applied to the resulting images. The images were evaluated for signal-to-noise ratio (SNR), image entropy, vessel connectivity and vessel density. RESULTS Registration and selective merging (RSM) algorithm improved the SNR (P |
| تدمد: | 2223-4306 2223-4292 |
| DOI: | 10.21037/qims.2016.07.02 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f13a6e4ef7a918ccbf0d4b2cacdba3 https://doi.org/10.21037/qims.2016.07.02 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....53f13a6e4ef7a918ccbf0d4b2cacdba3 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 22234306 22234292 |
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| DOI: | 10.21037/qims.2016.07.02 |