US 11,989,860 B2
System and method for high precision multi-aperture spectral imaging
Brian McCall, Dallas, TX (US); Wensheng Fan, Plano, TX (US); Jason Dwight, Dallas, TX (US); Zhicun Gao, Plano, TX (US); Jeffrey E. Thatcher, Irving, TX (US); and John Michael DiMaio, Dallas, TX (US)
Assigned to Spectral MD, Inc., Dallas, TX (US)
Filed by SPECTRAL MD, INC., Dallas, TX (US)
Filed on Mar. 6, 2023, as Appl. No. 18/178,875.
Application 18/178,875 is a continuation of application No. 17/455,856, filed on Nov. 19, 2021, granted, now 11,631,164.
Application 17/455,856 is a continuation of application No. 16/988,064, filed on Aug. 7, 2020, granted, now 11,182,888, issued on Nov. 23, 2021.
Application 16/988,064 is a continuation of application No. 16/738,910, filed on Jan. 9, 2020, granted, now 10,740,884, issued on Aug. 11, 2020.
Application 16/738,910 is a continuation of application No. PCT/US2019/065818, filed on Dec. 11, 2019.
Claims priority of provisional application 62/818,375, filed on Mar. 14, 2019.
Claims priority of provisional application 62/780,121, filed on Dec. 14, 2018.
Prior Publication US 2023/0206413 A1, Jun. 29, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 5/50 (2006.01); G06T 7/00 (2017.01); G06T 7/33 (2017.01); G06T 7/55 (2017.01); G06T 7/62 (2017.01); H04N 5/265 (2006.01); H04N 23/55 (2023.01); H04N 23/56 (2023.01); H04N 23/743 (2023.01)
CPC G06T 5/50 (2013.01) [G06T 7/0012 (2013.01); G06T 7/33 (2017.01); G06T 7/55 (2017.01); G06T 7/62 (2017.01); H04N 5/265 (2013.01); H04N 23/55 (2023.01); H04N 23/56 (2023.01); H04N 23/743 (2023.01); G06T 2207/10036 (2013.01); G06T 2207/10144 (2013.01); G06T 2207/20221 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A multispectral imaging system comprising:
an application executable by a mobile computing device, the mobile computing device comprising one or more processors in communication with an image capture device comprising at least one aperture and at least one image sensor corresponding to the at least one aperture, the one or more processors configured with processor-executable instructions included in the application to perform operations comprising:
receiving at least one signal generated by the at least one image sensor based on light comprising three or more predetermined wavebands, the light reflected by an illuminated area of tissue;
processing the at least one signal to generate a plurality of multispectral images depicting at least a portion of the area of tissue;
performing spectral unmixing to generate a plurality of single-waveband images depicting at least a portion of the area of tissue, each single-waveband image corresponding to one of the three or more predetermined wavebands; and
causing one or more diagnostic analyses to be performed, using at least one machine learning algorithm, based at least in part on the plurality of single-waveband images or a multispectral datacube generated based on the plurality of single-waveband images.