US2023346232A1PendingUtilityA1

Methods, Systems and Computer Program Products for Calculating MetaKG Signals for Regions Having Multiple Sets of Optical Characteristics

64
Assignee: UNIV EAST CAROLINAPriority: Oct 14, 2014Filed: Nov 30, 2022Published: Nov 2, 2023
Est. expiryOct 14, 2034(~8.3 yrs left)· nominal 20-yr term from priority
A61B 5/021A61B 5/0261A61B 5/02028G06T 5/002G01J 3/2823A61B 5/352G06T 2207/30104A61B 5/02405G01J 2003/2826G06T 2207/10036G06T 5/70
64
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Claims

Abstract

Methods for calculating a MetaKG signal are provided. The method including illuminating a region of interest in a sample with a near-infrared (NIR) light source and/or a visible light source. The region of interest includes a sample portion and background portion, each having a different set of optical characteristics. Images of the region of interest are acquired and processed to obtain metadata associated with the acquired images. MetaKG signals are calculated for the region of interest and for the background. The MetaKG signal for the background is used to adjust the MetaKG signal for the region of interest to provide a final adjusted MetaKG signal for the region of interest.

Claims

exact text as granted — not AI-modified
1 . A method for calculating a MetaKG signal, the method comprising:
 illuminating a region of interest in a sample with at least one multi-wavelength light source, wherein the region of interest includes a sample portion and a background portion and wherein the multi-wavelength light source is a near-infrared (NIR) light source and/or a visible light source;   acquiring multi-spectral images of the region of interest using a multi-wavelength camera;   processing the acquired multi-spectral images to obtain metadata associated with the acquired multi-spectral images;   calculating a background MetaKG signal for the background portion of the region of interest from the metadata associated with the acquired multi-spectral images;   calculating a MetaKG signal for the region of interest from the metadata associated with the acquired multi-spectral images; and   adjusting the calculated MetaKG signal for the region of interest using the calculated background MetaKG signal to provide a final adjusted MetaKG signal,   wherein calculating the background MetaKG signal and the MetaKG signal for the region of interest comprises calculating a multi-spectral MetaKG signal using multi-spectral signal processing to remove motion artifacts and improve signal quality,   wherein calculating the multi-spectral MetaKG signal comprises:   calculating a residual MetaKG (MetaKG λ1λ2 (t)) as:   
       
         
           
             
               
                 
                   MetaK 
                   ⁢ 
                   
                     
                       G 
                       
                         λ1 
                         , 
                         λ2 
                       
                     
                     ( 
                     t 
                     ) 
                   
                 
                 = 
                 
                   
                     
                       
                         
                           Σ 
                              
                         
                         
                           y 
                           = 
                           1 
                         
                         M 
                       
                       ⁢ 
                       
                         
                           Σ 
                              
                         
                         
                           x 
                           = 
                           1 
                         
                         N 
                       
                       ⁢ 
                       a 
                       × 
                       
                         
                           Img 
                           
                             λ 
                             ⁢ 
                             1 
                           
                         
                         ( 
                         
                           x 
                           , 
                           y 
                           , 
                           t 
                         
                         ) 
                       
                     
                     - 
                     
                       b 
                       × 
                       
                         
                           Img 
                           
                             λ 
                             ⁢ 
                             2 
                           
                         
                         ( 
                         
                           x 
                           , 
                           y 
                           , 
                           t 
                         
                         ) 
                       
                     
                     + 
                     c 
                   
                   
                     M 
                     × 
                     N 
                   
                 
               
               ; 
             
           
         
         
           
             or 
           
         
         
           
             
               
                 MetaK 
                 ⁢ 
                 
                   
                     G 
                     
                       λ1 
                       , 
                       λ2 
                     
                   
                   ( 
                   t 
                   ) 
                 
               
               = 
               
                 
                   
                     
                       
                         ∑ 
                           
                       
                       
                         y 
                         = 
                         1 
                       
                       M 
                     
                     ⁢ 
                     
                       
                         ∑ 
                           
                       
                       
                         x 
                         = 
                         1 
                       
                       N 
                     
                     ⁢ 
                     a 
                     × 
                     
                       
                         
                           Img 
                           
                             λ 
                             ⁢ 
                             1 
                           
                         
                         ( 
                         
                           x 
                           , 
                           y 
                           , 
                           t 
                         
                         ) 
                       
                       
                         
                           Img 
                           
                             λ 
                             ⁢ 
                             2 
                           
                         
                         ( 
                         
                           x 
                           , 
                           y 
                           , 
                           t 
                         
                         ) 
                       
                     
                   
                   + 
                   b 
                 
                 
                   M 
                   × 
                   N 
                 
               
             
           
         
         wherein Img λ1 (x, y, t) is raw or speckle contrast images of a first wavelength: 
         Img λ2 (x, y, t) is raw or speckle contrast images of a second wavelength; a, b and c are parameters for normalization; and M and N are a number of pixels along x and y axes, respectively. 
       
     
     
         2 - 16 . (canceled)

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