US 12,462,343 B2
Medical diagnostic apparatus and method for evaluation of pathological conditions using 3D optical coherence tomography data and images
Kohji Nishida, Suita (JP); Kazuichi Maruyama, Suita (JP); Atsuya Miki, Suita (JP); Ryo Kawasaki, Suita (JP); Hirokazu Sakaguchi, Suita (JP); Chikako Hara, Suita (JP); Song Mei, Warren, NJ (US); Yasufumi Fukuma, Wako (JP); Zaixing Mao, Tokyo (JP); Zhenguo Wang, Ridgewood, NJ (US); and Kinpui Chan, Ridgewood, NJ (US)
Assigned to OSAKA UNIVERSITY, Osaka (JP); and TOPCON CORPORATION, Tokyo (JP)
Appl. No. 18/012,667
Filed by Osaka University, Osaka (JP); and Topcon Corporation, Tokyo (JP)
PCT Filed Jun. 22, 2021, PCT No. PCT/JP2021/023628
§ 371(c)(1), (2) Date Dec. 23, 2022,
PCT Pub. No. WO2022/004492, PCT Pub. Date Jan. 6, 2022.
Claims priority of provisional application 63/045,508, filed on Jun. 29, 2020.
Prior Publication US 2023/0306568 A1, Sep. 28, 2023
Int. Cl. G06T 7/11 (2017.01); A61B 3/10 (2006.01); A61B 3/12 (2006.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01); G06T 7/30 (2017.01); G06T 7/60 (2017.01)
CPC G06T 5/50 (2013.01) [A61B 3/102 (2013.01); A61B 3/1225 (2013.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06T 7/30 (2017.01); G06T 7/60 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30242 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A medical diagnostic apparatus, comprising:
a receiver circuit that receives three-dimensional volumetric data of a subject's eye;
a processor configured to separate portions of the three-dimensional volumetric data into separate segments, perform processing differently on each of the separate segments, and combine the separately processed segments to produce an enhanced three-dimensional volumetric data set;
the processor is further configured to generate at least one diagnostic metric from the enhanced three-dimensional volumetric data set; and
the processor is further configured to evaluate a pathological condition based on the at least one diagnostic metric, wherein
the pathological condition is glaucoma, and
the processor is further configured to evaluate a progress or risk of the glaucoma in the subject based on the diagnostic metric including a number of perineural vessels that penetrate a sclera of the subject's eye, a morphology of the perineural vessels that penetrate the sclera, and a size of the perineural vessels that penetrate the sclera.