Patent ID: 11972561
Assignee: CANON U.S.A., INC.
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC G

Claim 15:
16. The method of claim 10, wherein one or more of the following:
(i) the A-line(s), frame(s), or image(s) is/are defined by a block or set of A-lines and forms/form a two-dimensional (2D) Optical Coherence Tomography (OCT) image(s) or frame(s) when translated to Cartesian coordinates;
(ii) the method further comprises, during image or frame processing or pre-processing, setting pixels which correspond to the imaging probe, an artifact, and/or extravascular tissue areas to zero, and applying filtering;
(iii) the method further comprises, during image or frame processing or pre-processing, setting pixels which correspond to the imaging probe, an artifact, and/or extravascular tissue areas to zero, and applying filtering, and the filtering is a mean filtering, a spatial filter, and/or a sliding window or kernel spatial filter, which replaces a central value of the window with a mean intensity value of the pixels that belong to the window, and, for an image I and a window having size N×N, the value of the window's central pixel (i,j) is replaced by the, M
      N
    
    ⁢
    
      :
    
    ⁢
    
      1
      NxN
    
    ⁢
    
      Σ
      
        m
        ,
        
          n
          ∈
          NxN
        
      
    
    ⁢
    
      I
      ⁡
      
        (
        
          m
          ,
          n
        
        )
      
    
  
  ,, where m, n are the pixels belonging to the window N×N; and/or
(iv) the method further comprises, during image or frame processing or pre-processing, setting pixels which correspond to the imaging probe, an artifact, and/or extravascular tissue areas to zero, and applying filtering, and the filtering is Gaussian filtering or bilateral filtering, and/or the method further comprises using convolutions to replace an intensity of a central pixel of a mask with a weighted average of intensities of neighborhood pixels.