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Multispectral fluorescence segmentation method and device

A multi-spectral and fluorescent technology, applied in image analysis, image enhancement, instruments, etc., can solve the problem of low accuracy of excitation fluorescence spot segmentation results, and achieve the effect of strengthening correlation and improving accuracy

Active Publication Date: 2020-12-01
BEIJING DIGITAL PRECISION MEDICAL TECH CO LTD
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Problems solved by technology

[0003] An embodiment of the present invention provides a multi-spectral fluorescence segmentation method to solve the technical problem of low accuracy in the segmentation results of excited fluorescence spots in the prior art

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  • Multispectral fluorescence segmentation method and device
  • Multispectral fluorescence segmentation method and device
  • Multispectral fluorescence segmentation method and device

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[0013] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0014] In an embodiment of the present invention, a multispectral fluorescence segmentation method is provided, such as figure 1 As shown, the method includes:

[0015] Step 101: Obtain a multi-spectral fluorescence segmentation neural network, which is obtained by training a three-dimensional convolutional neural network, using multiple groups of surface-excited fluorescence images of different wavelengths obtained under laser excitation as a training center The required input data, using multiple sets of surface fluorescence images of different wavelengths obtained without laser excitation a...

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Abstract

Embodiments of the present invention provide a method and device for multispectral fluorescence segmentation, wherein the method includes: acquiring a multispectral fluorescence segmentation neural network, which is obtained by training a three-dimensional convolutional neural network, and Multiple groups of surface-excited fluorescence images of different wavelengths obtained under excitation are used as input data required for training, and multiple groups of surface fluorescence images of different wavelengths obtained without laser excitation are used as the results of training fluorescence spot distribution; The processed multispectral excited fluorescence image is input into the multispectral fluorescence segmentation neural network to obtain the segmentation result of the excited fluorescent spot. This solution takes into account the optical correlation between fluorescence images of different fluorescence wavelengths, which helps to accurately divide the effective fluorescence area and improves the accuracy of the excited fluorescence spot segmentation results.

Description

technical field [0001] The invention relates to the technical field of optical imaging, in particular to a multispectral fluorescence segmentation method and device. Background technique [0002] Optical imaging technology is an emerging molecular imaging technology in recent years. It has the advantages of high sensitivity, non-ionizing radiation, and simple operation. It is a technology that can realize biophysical process imaging inside biological tissues at the molecular level. In addition, optical imaging technology is being gradually applied to clinical surgical navigation and other fields by mounting fluorescence cameras and laser light sources on endoscopes. By injecting the corresponding targeted probe drug into the imaging object, and irradiating the observation site with the laser mounted on the endoscope, the fluorescence information of the observation site under the laser irradiation is captured. However, due to the influence of the excitation light source and ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06N3/04
CPCG06T7/11G06T2207/10036G06T2207/10064G06T2207/20081G06T2207/20084G06T2207/30096G06N3/045
Inventor 迟崇巍王丽
Owner BEIJING DIGITAL PRECISION MEDICAL TECH CO LTD
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