US 11,756,674 B2
Methods and systems for adaptive imaging for low light signal enhancement in medical visualization
John J. P. Fengler, North Vancouver (CA); Paul Roald Westwick, Vancouver (CA); and Frederick Allen Moore, Vancouver (CA)
Assigned to Stryker European Operations Limited, Carrigtwohill (IE)
Filed by Stryker European Operations Limited, Carrigtwohill (IE)
Filed on Nov. 18, 2020, as Appl. No. 16/951,684.
Application 16/951,684 is a continuation of application No. 15/623,100, filed on Jun. 14, 2017, granted, now 10,869,645.
Claims priority of provisional application 62/350,121, filed on Jun. 14, 2016.
Prior Publication US 2021/0166806 A1, Jun. 3, 2021
Int. Cl. G16H 30/40 (2018.01); G06T 5/50 (2006.01); A61B 5/00 (2006.01); A61B 1/06 (2006.01); A61B 1/05 (2006.01); A61B 1/04 (2006.01); A61B 1/07 (2006.01); A61B 1/045 (2006.01); A61B 1/00 (2006.01); H04N 23/11 (2023.01); H04N 23/70 (2023.01); H04N 23/74 (2023.01); H04N 23/951 (2023.01); A61B 6/00 (2006.01); G02B 23/12 (2006.01); G06T 5/00 (2006.01); A61B 5/11 (2006.01); A61B 1/313 (2006.01); H04N 23/50 (2023.01)
CPC G16H 30/40 (2018.01) [A61B 1/000095 (2022.02); A61B 1/043 (2013.01); A61B 1/045 (2013.01); A61B 1/05 (2013.01); A61B 1/0638 (2013.01); A61B 1/0655 (2022.02); A61B 1/0669 (2013.01); A61B 1/0684 (2013.01); A61B 1/07 (2013.01); A61B 5/0071 (2013.01); A61B 6/481 (2013.01); A61B 6/5205 (2013.01); G02B 23/12 (2013.01); G06T 5/001 (2013.01); G06T 5/50 (2013.01); H04N 23/11 (2023.01); H04N 23/70 (2023.01); H04N 23/74 (2023.01); H04N 23/951 (2023.01); A61B 1/00186 (2013.01); A61B 1/0646 (2013.01); A61B 1/3132 (2013.01); A61B 5/1121 (2013.01); A61B 5/6869 (2013.01); A61B 5/6875 (2013.01); A61B 5/7221 (2013.01); A61B 5/7264 (2013.01); A61B 2505/05 (2013.01); A61B 2562/0219 (2013.01); A61B 2562/0233 (2013.01); A61B 2576/00 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20008 (2013.01); G06T 2207/30004 (2013.01); H04N 23/555 (2023.01)] 24 Claims
OG exemplary drawing
 
1. An adaptive imaging method for generating enhanced low-intensity light video of an object for medical visualization, comprising:
acquiring, with an image acquisition assembly, a sequence of low light video frames depicting the object;
receiving a sequence of reference video frames;
assessing relative movement between the image acquisition assembly and the object based on the reference video frames;
adjusting a level of image processing of the low light video frames based at least in part on the relative movement between the image acquisition assembly and the object; and
generating a characteristic low light video output from a quantity of the low light video frames, wherein the quantity of the low light video frames is based on the adjusted level of image processing of the low light video frames, wherein generating the characteristic low light video output comprises determining a sum of pixel intensities of the quantity of the low light video frames on a region-by-region basis, wherein generating the characteristic low light video output further comprises dividing the sum of pixel intensities by the square root of the quantity of the low light video frames.