公开(公告)号：US11026581B2

公开(公告)日：2021-06-08

申请号：US15717116

申请日：2017-09-27

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chy-Lin Wang ,  Yuan-Chin Lee ,  Chun-Chieh Huang ,  Hung-Chih Chiang ,  Chih-Ming Cheng ,  Shuen-Chen Chen

IPC: A61B5/00 ,  A61B1/04

Abstract: An optical probe for detecting a biological tissue includes a surface imaging module and a tomography capturing module. The surface imaging module captures and creates a surface image of the biological tissue, and at least includes a light source emitting a first detecting light. The tomography capturing module captures a tomography image of the biological tissue and receives a second detecting light. The first detecting light passes via a first optical path from the light source to an imaging sensor through the biological tissue, a telecentric lens, a first optical mirror, and a lens assembly in sequence. The second detecting light passes via a second optical path from a first collimator to the first collimator through a scanner, the first optical mirror, the telecentric lens, the biological tissue, the telecentric lens, the first optical mirror, the scanner, and the first collimator in sequence.

公开(公告)号：US10127661B2

公开(公告)日：2018-11-13

申请号：US15395258

申请日：2016-12-30

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Yen-Chang Wang ,  Chih-Ming Cheng ,  Chir-Weei Chang ,  Chi-Shen Chang ,  Sheng-Li Chang

IPC: G06T7/00 ,  A61B5/00 ,  A61B8/08 ,  G06T7/12

Abstract: A method for evaluating skin tissue includes: obtaining a tomographic image of skin; performing a quantization process for quantizing brightness values of the tomographic image of skin to generate a quantized image; performing a binarization process on the brightness value of each image point in the quantized image according to a first threshold interval to generate a first filtered image; performing the binarization process on the brightness value of each image point in the quantized image according to a second threshold interval to generate a second filtered image; obtaining a first estimated tissue boundary according to the distribution of the bright spots in the first filtered image; obtaining a second estimated tissue boundary according to the distribution of the bright spots in the second filtered image; estimating a thickness of skin tissue according to a difference between the first and second estimated tissue boundaries.