The Algorithm based on the Improved Image Intensity Subtraction for the Optical Coherence Tomography Angiography

We proposed an improved image intensity subtraction OCTA algorithm (IS-OCTA) to improve the contrast image of vasculature network to overcome the limitation in traditional OCTA. Optical coherence tomography angiography (OCTA) is a technology to provide three-dimensional vascular information. It demonstrated its unique abilities in reconstruct and view lesion in a 3-dimensional fashion non-invasively, without a need of dye injection. However, many OCTA approaches are sensitive to bulk motion noise, which will make the contrast image of vasculature network blurred. We performed experiments on flow phantoms, static phantoms to simulated blood flow, and animal models (mouse’s ear) to verify the ability of IS-OCTA, and compared with the previous reported algorithms (SC-OCTA and ISUB-OCTA). IS-OCTA has able to improve the image contrast. Visual comparison of blood flow information and en face projection images which obtained by different algorithm, IS-OCTA has able to remove static information accurately from B-scans section image and has a notable effect on the suppression of the bulk motion noise.

[1]  D McLeod,et al.  Three dimensional analysis of microaneurysms in the human diabetic retina , 1999, Journal of anatomy.

[2]  I. Allen,et al.  Ocular pathology in multiple sclerosis: retinal atrophy and inflammation irrespective of disease duration. , 2010, Brain : a journal of neurology.

[3]  Ruikang K. Wang,et al.  Depth-resolved imaging of capillary networks in retina and choroid using ultrahigh sensitive optical microangiography. , 2010, Optics letters.

[4]  Ruikang K. Wang,et al.  Optical Microangiography: A Label-Free 3-D Imaging Technology to Visualize and Quantify Blood Circulations Within Tissue Beds In Vivo , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[5]  Lingfeng Yu,et al.  Doppler variance imaging for three-dimensional retina and choroid angiography. , 2010, Journal of biomedical optics.

[6]  Ruikang K. Wang,et al.  Ultrahigh sensitive optical microangiography for in vivo imaging of microcirculations within human skin tissue beds. , 2010, Optics express.

[7]  Daniel M. Schwartz,et al.  In vivo volumetric imaging of human retinal circulation with phase-variance optical coherence tomography , 2011, Biomedical optics express.

[8]  Martin F. Kraus,et al.  Split-spectrum amplitude-decorrelation angiography with optical coherence tomography , 2012, Optics express.

[9]  R. Leitgeb,et al.  Ultrahigh-speed non-invasive widefield angiography. , 2012, Journal of biomedical optics.

[10]  Yih Miin Liew,et al.  In vivo assessment of human burn scars through automated quantification of vascularity using optical coherence tomography , 2012, Journal of biomedical optics.

[11]  Ruikang K. Wang,et al.  Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms. , 2014, Ophthalmic surgery, lasers & imaging retina.

[12]  Y. Ogura,et al.  New Insights Into Microaneurysms in the Deep Capillary Plexus Detected by Optical Coherence Tomography Angiography in Diabetic Macular Edema. , 2016, Investigative ophthalmology & visual science.

[13]  James G. Fujimoto,et al.  Optical coherence tomography angiography , 2017, Progress in Retinal and Eye Research.

[14]  Ruikang K. Wang,et al.  Optical coherence tomography angiography: A comprehensive review of current methods and clinical applications , 2017, Progress in Retinal and Eye Research.

[15]  Joobin Khadamy,et al.  An Update on Optical Coherence Tomography Angiography in Diabetic Retinopathy , 2018, Journal of ophthalmic & vision research.

[16]  Ayman El-Baz,et al.  An OCTA Based Diagnosis System Based on a Comprehensive Local Features Analysis for Early Diabetic Retinopathy Detection , 2018, 2018 IEEE International Conference on Imaging Systems and Techniques (IST).