Microscope system for surgery
US-2016091707-A1 · Mar 31, 2016 · US
US10156518B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10156518-B2 |
| Application number | US-201615386254-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 21, 2016 |
| Priority date | Jun 24, 2014 |
| Publication date | Dec 18, 2018 |
| Grant date | Dec 18, 2018 |
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An image analysis apparatus includes: a calculator that generates, on the basis of a plurality of sample images obtained by irradiating a biological tissue with light having N wavelength bands selected from a wavelength bandwidth from 950 nm or more to 1600 nm or less as a predetermined wavelength bandwidth, sample data on the tissue in the predetermined wavelength bandwidth; and a data generator that compares the sample data with training data on a substance that is a training target, to generate distribution data indicating a distribution of the substance in the tissue.
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What is claimed is: 1. An imaging system comprising: an imaging device that acquires a hyperspectral image obtained by irradiating a biological tissue with infrared light having a predetermined wavelength band; a calculator that generates, on the basis of the hyperspectral image, sample data on the tissue in the predetermined wavelength band; and a data generator that compares the sample data with training data on water that is a training target, to generate first image data indicating a distribution of the water in the tissue, and compares the sample data with training data on lipid that is a training target, to generate second image data indicating a distribution of the lipid in the tissue. 2. The imaging system of claim 1 , wherein the data generator performs processing of combining a sample image based on the sample data with a water rule image based on the training data on the water to generate the first image data. 3. The imaging system of claim 2 , wherein the data generator performs processing of combining a sample image based on the sample data with a lipid rule image based on the training data on the lipid to generate the second image data. 4. The imaging system of claim 3 , wherein the data generator generates, on the basis of the first image data or the second image data, a color image indicating a distribution of the water or a distribution of the lipid. 5. The imaging system of claim 1 , wherein the data generator compares the sample data with training data on a protein that is a training target, to generate third image data indicating a distribution of the protein in the tissue. 6. A surgery support system comprising: the imaging system of claim 1 ; and a display that displays an image based on the first image data or an image based on the second image data. 7. An imaging method comprising: acquiring a hyperspectral image obtained by irradiating a biological tissue with infrared light having a predetermined wavelength band; generating, on the basis of the hyperspectral image, sample data on the tissue in the predetermined wavelength band; and comparing the sample data with training data on water that is a training target, to generate first image data indicating a distribution of the water in the tissue, and comparing the sample data with training data on lipid that is a training target, to generate second image data indicating a distribution of the lipid in the tissue. 8. A non-transitory storage medium that stores therein an image analysis program that causes a computer to execute: acquiring a hyperspectral image obtained by irradiating a biological tissue with infrared light having a predetermined wavelength band; generating, on the basis of the hyperspectral image, sample data on the tissue in the predetermined wavelength band; and comparing the sample data with training data on water that is a training target, to generate first image data indicating a distribution of the water in the tissue, and comparing the sample data with training data on lipid that is a training target, to generate second image data indicating a distribution of the lipid in the tissue. 9. An image analysis apparatus comprising: a calculator that generates, on the basis of a plurality of pieces of sample information obtained by irradiating a biological tissue with infrared light having N wavelength bands selected from a predetermined wavelength bandwidth, sample data on the tissue in the predetermined wavelength bandwidth; and a data generator that compares the sample data with training data on water that is a training target, with use of at least one of spectral angle mapper classification, spectral correlation mapper classification, or Euclidean distance classification, to generate distribution data indicating a distribution of the water in the tissue, wherein the predetermined wavelength bandwidth is set from a wavelength bandwidth from 700 nm or more to 2500 nm or less as a training region for the water. 10. The image analysis apparatus of claim 9 , wherein the data generator compares the sample data with training data on lipid that is a training target, with use of at least one of spectral angle mapper classification, spectral correlation mapper classification, or Euclidean distance classification, to generate distribution data indicating a distribution of the lipid in the tissue. 11. The image analysis apparatus of claim 9 , wherein the data generator compares the sample data with training data on blood that is a training target, with use of at least one of spectral angle mapper classification, spectral correlation mapper classification, or Euclidean distance classification, to generate distribution data indicating a distribution of the blood in the tissue. 12. An imaging system comprising: an imaging device that acquires a hyperspectral image obtained by irradiating a biological tissue with infrared light having a predetermined wavelength band; a calculator that generates, on the basis of the hyperspectral image, sample data on the tissue in the predetermined wavelength band; and a data generator that compares the sample data with training data on water that is a training target, with use of at least one of spectral angle mapper classification, spectral correlation mapper classification, or Euclidean distance classification, to generate first image data indicating a distribution of the water in the tissue, wherein the predetermined wavelength bandwidth is set from a wavelength bandwidth from 700 nm or more to 2500 nm or less as a training region for the water. 13. The imaging system according to claim 12 , comprising: an input device that accepts input from a user. 14. The imaging system according to claim 12 , comprising: a light source that outputs infrared light having a spot shape elongated in one direction. 15. The imaging system according to claim 12 , wherein the data generator compares the sample data with training data on lipid that is a training target, with use of at least one of spectral angle mapper classification, spectral correlation mapper classification, or Euclidean distance classification, to generate second image data indicating a distribution of the lipid in the tissue. 16. The imaging system according to claim 12 , wherein the data generator compares the sample data with training data on blood that is a training target, with use of at least one of spectral angle mapper classification, spectral correlation mapper classification, or Euclidean distance classification, to generate third image data indicating a distribution of the blood in the tissue.
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