# US 2013/0156283 A1 · System and method for rapid oct image acquisition using compressive sampling > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2013/0156283 A1 - Document ID: US20130156283A1 - Status: Published application - Kind: A1 - Application number: 13/819,713 - Filed: 2011-08-31 - Published: 2013-06-20 - Earliest claimed: 2010-08-31 - Assignees: Simon Fraser University - Inventors: Mirza Faisal Beg; Evgeniy Lebed; Marinko V. Sarunic - Web page: https://patentgrep.com/patent/US20130156283A1 ## CPC - G06T 12/10: Image preprocessing, e.g. calibration, positioning of sources or scatter correction - A61B 5/0066: {Optical coherence imaging} - G01N 21/4795: {spatially resolved investigating of object in scattering medium (in vivo A61B)} - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract A method for rapid OCT image acquisition includes acquiring by OCT a plurality of compressive measurements (y) representing a set of under-sampled OCT data in a Dirac domain below a Nyquist rate by sampling an object of interest at randomly spaced vertical and horizontal lines in a Cartesian geometry using a raster scan, and recovering a 3D volumetric OCT image (f) from the compressive measurements (y) using compressive sampling. The method may also include recovering the 3D volumetric OCT image (f) from the compressive measurements (y) based at least in part on a sparsifying matrix (S) capable of transforming the 3D volumetric OCT image (f) into a sparse representation, such as a matrix representation of the 3D volumetric OCT image (f) in a shift-invariant wavelet transform domain. The method may also be applied to radial OCT scan patterns. ## Claims ### Claim 1 A method for rapid Optical Coherence Tomography image acquisition comprising: acquiring by Optical Coherence Tomography a plurality of compressive measurements (y) representing a set of under-sampled Optical Coherence Tomography data in a Dirac domain below a Nyquist rate by sampling an object of interest at randomly spaced vertical and horizontal lines in a Cartesian geometry using a raster scan; and recovering a 3D volumetric Optical Coherence Tomography image (f) from the compressive measurements (y) using compressive sampling. ### Claim 2 (depends on 1) The method for rapid Optical Coherence Tomography image acquisition according to claim 1 further comprising: forming a sparsifying matrix (S) capable of transforming the 3D volumetric Optical Coherence Tomography image (f) into a sparse representation; and recovering the 3D volumetric Optical Coherence Tomography image (f) from the compressive measurements (y) based at least in part on the sparsifying matrix (S). ### Claim 3 (depends on 2) The method for rapid Optical Coherence Tomography image acquisition according to claim 2, wherein the sparsifying matrix (S) represents a matrix representation of the 3D volumetric Optical Coherence Tomography image (f) in a shift-invariant wavelet transform domain. ### Claim 4 (depends on 1) The method for rapid Optical Coherence Tomography image acquisition according to claim 1, wherein the compressive measurements (y) represent a range between about 25 and 77 percent of the data present in the 3D volumetric Optical Coherence Tomography image (f). ### Claim 5 (depends on 1) The method for rapid Optical Coherence Tomography image acquisition according to claim 1, wherein the compressive measurements (y) represent less than about 50 percent of the data present in the 3D volumetric Optical Coherence Tomography image (f). ### Claim 6 (depends on 1) The method for rapid Optical Coherence Tomography image acquisition according to claim 1, wherein the compressive measurements (y) represent about 25 percent of the data present in the 3D Optical Coherence Tomography image (f). ### Claim 7 (depends on 2) The method for rapid Optical Coherence Tomography image acquisition according to claim 2, wherein the sparsifying matrix (S) represents a matrix representation of the 3D volumetric Optical Coherence Tomography image (f) in at least one of: a curvelet transform, surfacelet transform, ridgelet transform, Gabor transform, discrete cosine transform and wavelet transform domain. ### Claim 8 (depends on 1, 2, 3, 4, 5, 6, 7) The method for rapid Optical Coherence Tomography image acquisition according to any one of claims 1 to 7, wherein recovering a 3D volumetric Optical Coherence Tomography image (f) from the compressive measurements (y) using compressive sampling additionally comprises using an iterative soft thresholding solver. ### Claim 9 (depends on 1, 2, 3, 4, 5, 6, 7, 8) The method for rapid Optical Coherence Tomography image acquisition according to any one of claims 1 to 8, additionally comprising: analyzing said 3D volumetric Optical Coherence Tomography image (f) for at least one ophthalmological criterion. ### Claim 10 A method for rapid Optical Coherence Tomography image acquisition comprising: acquiring by Optical Coherence Tomography a plurality of compressive measurements (y) representing a set of under-sampled Optical Coherence Tomography data in a Dirac domain below a Nyquist rate by sampling an object of interest at randomly angularly spaced radial scan lines in a radial geometry using a radial scan; mapping said compressive measurements (y) from said radial geometry to a Cartesian grid having radial coordinates; recovering a set of recovered radial scan images (f) from the compressive measurements (y) using compressive sampling; and mapping said recovered radial scan images from said Cartesian grid to a 3D Cartesian geometry having Cartesian coordinates to produce a physical 3D volumetric Optical Coherence Tomography image. ### Claim 11 (depends on 10) The method for rapid Optical Coherence Tomography image acquisition according to claim 10, wherein recovering a set of recovered radial scan images additionally comprises: forming a sparsifying matrix (S) capable of transforming the recovered radial scan images (f) into a sparse representation; and recovering the recovered set of radial scan images (f) from the compressive measurements (y) based at least in part on the sparsifying matrix (S). ### Claim 12 (depends on 11) The method for rapid Optical Coherence Tomography image acquisition according to claim 11, wherein said sparsifying matrix (S) represents a matrix representation of the set of radial scan images (f) in a shift-invariant wavelet transform domain. ### Claim 13 (depends on 11) The method for rapid Optical Coherence Tomography image acquisition according to claim 11, wherein the sparsifying matrix (S) represents a matrix representation of the set of radial scan images (f) in at least one of: a curvelet transform, surfacelet transform, ridgelet transform, Gabor transform, discrete cosine transform and wavelet transform domain. ### Claim 14 (depends on 10, 11, 12, 13) The method for rapid Optical Coherence Tomography image acquisition according to any one of claims 10 to 13, wherein recovering a set of recovered radial scan images additionally comprises using an iterative soft thresholding solver. ### Claim 15 (depends on 10, 11, 12, 13, 14) The method for rapid Optical Coherence Tomography image acquisition according to any one of claims 10 to 14, additionally comprising: analyzing said 3D volumetric Optical Coherence Tomography image for at least one ophthalmological criterion. ### Claim 16 (depends on 10) The method for rapid Optical Coherence Tomography image acquisition according to claim 10 wherein mapping said compressive measurements (y) from said radial geometry to a Cartesian grid having radial coordinates additionally comprises mapping a radial coordinate θ to an x Cartesian grid coordinate, and mapping a radial coordinate r to a y Cartesian grid coordinate. ### Claim 17 (depends on 16) The method for rapid Optical Coherence Tomography image acquisition according to claim 16 wherein mapping said recovered radial scan images from said Cartesian grid to a 3D Cartesian geometry having Cartesian coordinates additionally comprises using the transform θ=x and r=y. ### Claim 18 (depends on 10) The method for rapid Optical Coherence Tomography image acquisition according to claim 10, wherein the compressive measurements (y) represent a range between about 12 and 40 percent of the data present in the physical 3D volumetric Optical Coherence Tomography image. ### Claim 19 (depends on 10) The method for rapid Optical Coherence Tomography image acquisition according to claim 10, wherein said randomly angularly spaced radial scan lines in a radial geometry are substantially centered on said object of interest. ### Claim 20 A method for rapid tomographic image acquisition comprising: acquiring by emissive imaging means a plurality of compressive measurements (y) representing a set of under-sampled tomographic data in a Dirac domain below a Nyquist rate by sampling an object of interest at randomly angularly spaced radial scan lines in a radial geometry using a radial scan; mapping said compressive measurements (y) from said radial geometry to a Cartesian grid having radial coordinates; recovering a set of recovered radial scan images (f) from the compressive measurements (y) using compressive sampling; and mapping said recovered radial scan images from said Cartesian grid to a 3D Cartesian geometry having Cartesian coordinates to produce a physical 3D volumetric tomographic image. ### Claim 21 (depends on 20) The method for rapid tomographic image acquisition according to claim 20, wherein said emissive imaging means comprises one or more of: ultrasound, magnetic resonance and x-ray imaging.