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Phase-Resolved Optical Frequency Domain Imaging Of The Human Retina On The Reliable Discrimination Of Retinal Blood Flow Master of Physics Symposium 11.04.2014 Leah S. Wilk Master of Physics Symposium – 11.04.2014 Leah S. Wilk The Human Eye Master of Physics Symposium – 11.04.2014 Leah S. Wilk Imaging of Ocular Hemodynamics: Fluorescein Angiography Healthy Serlin et al. (2013), PLoS ONE 8(4) E61599; doi:10.1371/journal.pone.0061599 Age Related Macular Degeneration Giustolisi et al. (2011), Digit. J.Ophthalmol. 17(3); 23-30 Master of Physics Symposium – 11.04.2014 Leah S. Wilk Depth Resolved Imaging: OFDI Michaelson Interferometer Fox, Quantum Optics (2006); Oxford University Press; p. 15 Master of Physics Symposium – 11.04.2014 Leah S. Wilk Depth Resolved Imaging: OFDI Intensity [A.U.] Fourier Transform (Amplitude α , Phase ϕ) Wavevector [2π/λ] De Boer, J F (2013) (VU Amsterdam) Master Course – Biomedical Optics: Optical Coherence Tomography Master of Physics Symposium – 11.04.2014 Leah S. Wilk Depth Resolved Imaging: OFDI Wavevector [2π/λ] De Boer, J F (2013) (VU Amsterdam) Master Course – Biomedical Optics: Optical Coherence Tomography Amplitude [A.U.] Intensity [A.U.] Fourier Transform Distance [mm] Master of Physics Symposium – 11.04.2014 Leah S. Wilk Rendering Images 2D – Scan: Depth Cross sectional image (B-Scan) 1D Profile (A-Line) Scan direction Phase Depth to greyscale AcquirePlot adjacent depth profiles by scanning the sample π 0 https://wiki.engr.illinois.edu /display/BIOE414/The+Princ iples+Behind+OCT -π Master of Physics Symposium – 11.04.2014 Leah S. Wilk Imaging of Ocular Hemodynamics: PR-OFDI Healthy, young volunteer AMD-Patient, 90 years old Leah S. Wilk (VU Amsterdam), Jan H. de Jong (Rotterdam Ophthalmic Institute), 2013 , Unpublsihed Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Imaging of Ocular Hemodynamics: PR-OFDI Leah S. Wilk (VU Amsterdam), Jan H. de Jong (Rotterdam Ophthalmic Institute), 2013 , Unpublsihed Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Imaging of Ocular Hemodynamics: PR-OFDI FA FA PR-OFDI FA = Fluorescein Angiography PR-OFDI = Phase-Resolved Optical Frequency Domain Imaging Leah S. Wilk (VU Amsterdam), Jan H. de Jong (Rotterdam Ophthalmic Institute), 2013 , Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Blood Flow Discrimination • Reliably discriminating blood flow requires knowledge of the measurement noise 𝜎𝛥𝜙 • Pixels with are likely to contain blood flow Master of Physics Symposium – 11.04.2014 Leah S. Wilk Improving Blood Flow Discrimination • Until now an empirically derived value of 0.3 rad was used for when discriminating blood flow • The approach presented here estimates for every pixel from local signal statistics: SNR x 2 2 Master of Physics Symposium – 11.04.2014 Leah S. Wilk Estimating Re-Visitation Error x , Aline Master of Physics Symposium – 11.04.2014 Leah S. Wilk Discriminating Blood Flow in Retinal Layers Retina Choroid Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Results: Retinal Blood Flow Detection 0.3 rad Pixel Pixel ,Pixel En-face (3 x 3 𝑚𝑚2 ) of the human retina: AMD-Patient, 67 years old Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Results: Noise Removal Pixel ,Pixel Pixel 0.3 rad En-face (3 x 3 𝑚𝑚2 ) of the human retina: AMD-Patient, 67 years old Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Results: Lens Artefact Removal Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Results: Lens Artefact Removal Pixel ,Pixel Pixel 0.3 rad Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Results: Choroidal Blood Flow Detection Pixel ,Pixel Pixel 0.3 rad En-face (3 x 3 𝑚𝑚2 ) of the human choroid: AMD-Patient, 67 years old, 300µm 377µm in depth from retinal surface Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Removal of Eye Motion Artefacts • B-Scan is considered motion artefact if the mean revisitation error of the B-scan is not within one standard deviation of the mean re-visitation error of the entire volume |σΔ𝑥,𝐵−𝑆𝑐𝑎𝑛 − σΔ𝑥,𝑉𝑜𝑙𝑢𝑚𝑒 | > std(σΔ𝑥,𝑉𝑜𝑙𝑢𝑚𝑒 ) Master of Physics Symposium – 11.04.2014 Leah S. Wilk Removal of Eye Motion Artefacts Pixel ,Pixel Pixel ,Pixel En-face (3 x 3 𝑚𝑚2 ) of the human retina: AMD-Patient, 67 years old Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Master of Physics Symposium – 11.04.2014 Leah S. Wilk Conclusions • Estimation of data point-specific noise levels facilitates more reliable discrimination of retinal blood flow and can improve quality of PR-OFDI images • PR-OFDI is capable of reliably, non-invasively and simultaneously visualising retinal and choroidal blood flow in the human eye in great detail Master of Physics Symposium – 11.04.2014 Leah S. Wilk Acknowledgements Boy Braaf (ROI, VU) Dr. Koen A. Vermeer (ROI) Jan H. de Jong (ROI, Erasmus MC) Kari V. Vienola (ROI, VU) Prof. Johannes F. de Boer (VU, ROI) Master of Physics Symposium – 11.04.2014 Leah S. Wilk Experimental Set-Up Braaf et al., Opt. Express 19 (2011); 20886-20903 OCT - Beam Master of Physics Symposium – 11.04.2014 Leah S. Wilk Data Acquisition • Backstitching: • Lateral is segmented B-Scan scan 1 andwidth B-Scan 2 are created by “stitching” the individual scan is segments “back” together: • Every segment re-scanned • B-scan segments are concatenated (“backstitched”) Lateral Sample Scan Width B-Scan 1: B-Scan 2: : “Mirror Fly-Back“ : B-Scan 1 : B-Scan 2 Motion of X/Y Scanning Mirrors Master of Physics Symposium – 11.04.2014 Leah S. Wilk SNR Noise • Signal-to-noise ratio can be translated into uncertainty (i.e. noise) in phase difference: * 1 SNR SNR SNR Signal-to-noise ratio * Park et al., Opt. Express 13(11) (2005); 3931-3944 Master of Physics Symposium – 11.04.2014 Leah S. Wilk Re-Visitation Inaccuracy • Errors in re-visiting the first measurement location introduce additional difference in phase • Phase difference noise due to re-visitation error: 2 4 x 1exp 2 x d 3 * x Beam displacement d = Beam diameter * Park et al., Opt. Express 13(11) (2005); 3931-3944 Master of Physics Symposium – 11.04.2014 Leah S. Wilk Depth Resolved Imaging: OFDI Intensity at the detector as function of wavenumber k = 2π λ : I (k ) I r (k ) 2 I s (k ) I r (k ) n cos(k z n n) I s (k ) n Interference term De Boer, J F (2013) (VU Amsterdam) Master Course – Biomedical Optics: Optical Coherence Tomography Master of Physics Symposium – 11.04.2014 Leah S. Wilk Limiting Factors • Phase difference between two OFDI signals of structures with flow (moving scatterers) given by: 4 n v flow cos( ) * 0 * Zhao et al., Opt. Lett. 25 (2) (2000); 1448-1450 Minor Master Project – 20.01.2014 Leah S. Wilk Blood Flow Discrimination • To judge reliability of a measurement requires knowledge of its noise • Total phase difference noise for a pixel is given by: SNR x 2 2 • This limits the smallest reliably observable flow velocity to: min 0 0 v min = 4 n cos( ) > 4 n cos( ) Minor Master Project – 20.01.2014 Leah S. Wilk Estimating The “Revisitation Noise” 1. A layer without blood flow but high SNR is selected in the retina (RNFL) in every B-scan (RNFL = top layer of the retina) 2. Any measured phase differences there are attributed to noise (no flow) 3. A 3 x 3 kernel is moved across the layer and the re-visitation noise for the central pixel’s A-line (depth profile) is calculated using: x , Aline 2 , Kernel 2 SNR , Kernel var( ) Kernel 1 SNR Kernel Minor Master Project – 20.01.2014 Leah S. Wilk Estimating The Individual Noise Levels 4. Total noise for every pixel is then computed via: ,Pixel 2 x , A Line 2 SNR , Pixel 2 x , A Line 1 SNR Pixel 5. Likely presence of blood flow in a pixel is determined by comparing a pixel’s phase difference to its noise: Pixel ,Pixel Minor Master Project – 20.01.2014 Leah S. Wilk Results: Retrieving Micro-Details Pixel ,Pixel Maximum Intensity Projection Pixel 0.3 rad Summed Intensity Projection Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Minor Master Project – 20.01.2014 Leah S. Wilk Results: Retinal Blood Flow Detection Pixel ,Pixel Pixel 0.3 rad En-face (3 x 3 𝑚𝑚2 ) of the human retina: Healthy, young volunteer Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Minor Master Project – 20.01.2014 Leah S. Wilk Results: Retrieving Micro-Detail Pixel ,Pixel Maximum Intensity Projection Pixel 0.3 rad Summed Intensity Projection Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Minor Master Project – 20.01.2014 Leah S. Wilk Results: Choroidal Blood Flow Detection Pixel ,Pixel Pixel 0.3 rad En-face (3 x 3 𝑚𝑚2 ) of the human choroid: Healthy, young volunteer, 300µm - 377µm in depth from retinal surface Leah S. Wilk (VU Amsterdam) and Jan H. de Jong (Rotterdam Ophthalmic Institue), 2013, Unpublished Results Minor Master Project – 20.01.2014 Leah S. Wilk References 1. Serlin et al. (2013), PLoS ONE 8(4) E61599; doi:10.1371/journal.pone.0061599 2. Giustolisi et al. (2011), Digit. J. Ophthalmol. 17(3); 23-30 3. Fox, Quantum Optics (2006); Oxford University Press; p. 15 4. De Boer, J F (2013) (VU Amsterdam) Master Course – Biomedical Optics: Optical Coherence Tomography. A (minimally invasive) optical technique to visualise function and structure in biological tissue. 5. Braaf et al., Opt. Express 19 (2011); 20886-20903 . 6. Zhao et al., Opt. Lett. 25 (2) (2000); 1448-1450 . 7. Park et al., Opt. Express 13(11) (2005); 3931-3944 .