CN202568208U - Multispectral fluorescent three-dimensional tomography device - Google Patents
Multispectral fluorescent three-dimensional tomography device Download PDFInfo
- Publication number
- CN202568208U CN202568208U CN 201220124775 CN201220124775U CN202568208U CN 202568208 U CN202568208 U CN 202568208U CN 201220124775 CN201220124775 CN 201220124775 CN 201220124775 U CN201220124775 U CN 201220124775U CN 202568208 U CN202568208 U CN 202568208U
- Authority
- CN
- China
- Prior art keywords
- multispectral
- fluorescence
- fluorescent
- dimensional
- fluoroscopic image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Abstract
The utility model provides a multispectral fluorescent three-dimensional tomography device and belongs to the technical field of molecular imaging. The multispectral fluorescent three-dimensional tomography device comprises a fluorescent imaging system and a data analysis processor. The fluorescent imaging system is used for acquiring multispectral fluorescent images from a live target. Data of the multispectral fluorescent images and original fluorescence spectrum of multiple fluorescent reagents simultaneously used in the live target are input to the data analysis processor. The data analysis processor is used for performing multispectral fluorescent three-dimensional optically-tomographic calculation and analysis to the data of the multispectral fluorescent images so as to rebuild three-dimensional fluorescent images based on the original fluorescence spectrum. The multispectral fluorescent three-dimensional tomography device is fine in accuracy and realness of 3D (three-dimensional) fluorescent images, and 3D tomographic process is convenient for a user to operate.
Description
Technical field
This utility model belongs to the molecular image technical field; Relate to fluorescent molecular tomography (Fluorescence Molecular Tomography; FMT), relate in particular to based on multispectral fluoroscopic image and do not use multispectral separation process (unmixing process) to carry out three-dimension disclocation imaging (3D tomography) device.
Background technology
The molecule of non-invasion formula or the research of the imaging technique of cell grade are understood the revolutionary influence of generation over against the biology of normal tissue and diseased tissue, and play important effect in fields such as gene therapy, immunology, drug research and development and cancer research and treatments.Wherein, The living body fluorescent imaging technique is to adopt the excitation fluorescence molecule of specific wavelength to produce fluorescence and the positional information (for example depth information) of target is provided and object is carried out to picture through image reconstruction, and this imaging technique is ripe just gradually and be called the key technology of biomedical research.
The living body fluorescent technical field of imaging has at first developed two-dimensional imaging technology, in the two-dimensional imaging process, needs to consider in the organism crosstalking and the influence of the autofluorescence effect of biological body surface (perhaps in the body food etc.) between different spectrographic a plurality of fluorescence.Therefore; When obtaining the two-dimentional fluorescence imaging of body internal object tissue; Must adopt spectral separation to handle (perhaps being called mixed processing) and remove this influence with the autofluorescence effect of crosstalking, thereby obtain the 2D separation fluoroscopic image of each fluorogen (injecting intravital fluorometric reagent by correspondence forms).
Shown in Figure 1 for using the spectral separation treatment technology to obtain the two-dimentional fluorescence imaging process of target fluorescence.At first, shown in Fig. 1 (a), the image that input uses different optical filters to obtain, wherein, five images are under the light source condition of different wave length, to obtain.Further, shown in Fig. 1 (b),,, confirm that noise fluorescence, fur fluorescence and target fluorogen are respectively to the intensity contribution proportion of this pixel to a certain pixel (the example pixel point among Fig. 1) based on spectrogram.Further, shown in Fig. 1 (c), repeat above process, all pixels are carried out reprocessing.At last, shown in Fig. 1 (d), obtain isolating 2D fluoroscopic image (or being called 2D separation fluoroscopic image), in this example, obtained the 2D fluoroscopic image of noise fluorescence, the 2D fluoroscopic image of fur and the 2D fluoroscopic image of target fluorogen according to contribution proportion.
Above 2D fluorescence imaging also is applicable to multispectral 2D fluorescence imaging (multispectral two-dimension fluorescence imaging).
Along with the raising of research level, two-dimentional fluorescence imaging can not satisfy the needs of scientific research, medical treatment, because all biosiss are not to occur in two-dimensional level basically.Obtain complete abundant biological data, must be carried out to picture, observation and analysis in three-dimensional level, therefore, fluorescent molecular tomography is studied and is used for carrying out the 3D fault imaging.
When carrying out the 3D fault imaging of bioluminescence; When if biological intravital fluorogen is one (single spectrum), it can be directly obtains the 3D fluoroscopic image based on the 3D optical sectioning imaging computational analysis of single spectrum fluorescence, still; In fluorescence imaging is used; To Different Organs, inject different fluorescent agents usually, thereby form the spectrographic fluorogen of a plurality of differences in vivo.Therefore, multispectral fluorescence 3D tomography technology has further been proposed.
Patent Application No. is that US2008/0103390, name are called and disclose the 2D fluoroscopic image of handling based on spectral separation in the patent of " Apparatus and methods for fluorescence guided surgery " and realize multispectral fluorescence 3D tomograph imaging method, and the 3D optical sectioning imaging computational analysis that it adopts 2D fluoroscopic image after the separating treatment of target fluorogen, carry out single spectrum fluorescence is respectively again carried out the 3D fluoroscopic image and rebuild.But the 3D fluoroscopic image that obtains based on this method need repeatedly carry out the 3D fluoroscopic image to be rebuild and calculates, and accuracy is relatively poor with verity, greatly limitations the application of multispectral fluorescence 3D tomograph imaging method.
The utility model content
The purpose of this utility model is to improve the accuracy and/or the verity of multispectral fluorescence 3D fault imaging.
For realizing above purpose or other purposes, this utility model provides following technical scheme:
According to one side of the present disclosure; A kind of multispectral fluorescent three-dimensional tomograph imaging method is provided; In the method, obtain multispectral fluoroscopic image from the target live body, and based on the original fluorescence spectrum of the multiple fluorometric reagent that uses simultaneously in the said target live body; The data of said multispectral fluoroscopic image are carried out the three-dimensional optical fault imaging computational analysis of multispectral fluorescence and handle, with the reconstruction of three-dimensional fluoroscopic image.
According to the multispectral fluorescent three-dimensional tomograph imaging method of an embodiment, said original fluorescence spectrum can be obtained from the distributors of corresponding said fluorometric reagent, perhaps can place fluorescence imaging system experiment measuring to draw to fluorometric reagent.
Said multispectral fluoroscopic image comprises the fluorescence signal that multiple fluorometric reagent and autofluorescence body are sent.
Can have the characteristic that the part original spectrum overlaps between the said multiple fluorometric reagent.
Multispectral fluorescent three-dimensional tomograph imaging method in still another embodiment also comprises the normalization treatment step: convert the pixel value of each pixel in the multispectral fluoroscopic image into same physical unit and represent.
Before in the multispectral fluorescent three-dimensional tomograph imaging method of said any embodiment, before said normalization treatment step, employed optical filter carries out the measurement of excitating light strength when obtaining said multispectral fluoroscopic image.
Multispectral fluorescent three-dimensional tomograph imaging method according to going back an embodiment also comprises compensation process: the eyeglass distortion to different optical filter produced compensates.
Before in the multispectral fluorescent three-dimensional tomograph imaging method of said any embodiment, said original fluorescence spectrum obtains according to the fluorometric reagent corresponding selection of using simultaneously in the said target live body.
Before in the multispectral fluorescent three-dimensional tomograph imaging method of said any embodiment, in the three-dimensional optical fault imaging computational analysis of multispectral fluorescence is handled, calculate the variation of said spectrum between the light propagation periods.
According to another aspect of the present disclosure, a kind of multispectral fluorescent three-dimensional fault imaging device is provided, it comprises:
The fluorescence imaging system, it is used for obtaining multispectral fluoroscopic image from the target live body; With
The data analysis blood processor;
Wherein, The original fluorescence spectrum of the multiple fluorometric reagent that uses simultaneously in the data of said multispectral fluoroscopic image and the said target live body inputs to said data analysis blood processor, said data analysis blood processor be used for based on the three-dimensional optical fault imaging computational analysis that said original fluorescence spectrum is carried out multispectral fluorescence to the data of said multispectral fluoroscopic image handle, with the reconstruction of three-dimensional fluoroscopic image.
According to the multispectral fluorescent three-dimensional fault imaging device of an embodiment, wherein, said fluorescence imaging system also is used for the original fluorescence spectrum that experiment measuring draws said fluorometric reagent.
Multispectral fluorescent three-dimensional fault imaging device in still another embodiment; Wherein, Be provided with optical filter and calibration module in the said fluorescence imaging system, said calibration module is used for carrying out pixel value with each pixel of multispectral fluoroscopic image and converts the normalization that same physical unit representes into and handle.
Before in the multispectral fluorescent three-dimensional fault imaging device of said any embodiment, said calibration module is used for said optical filter is carried out the measurement of excitating light strength.
According to the multispectral fluorescent three-dimensional fault imaging device of going back an embodiment, wherein, said data analysis blood processor comprises:
Processor and
Memorizer;
Wherein, the data of the said multispectral fluoroscopic image that said fluorescence imaging system obtains input in the said processor and handle with the three-dimensional optical fault imaging computational analysis of carrying out said multispectral fluorescence, and said original fluorescence spectrum is stored to said memorizer.
Before in the multispectral fluorescent three-dimensional fault imaging device of said any embodiment, said data analysis blood processor also comprises:
Show and input terminal that it is used for the said original fluorescence spectrum of fluorometric reagent corresponding selection used simultaneously according to said target live body at least.
The technique effect of this utility model is; In this multispectral fluorescence 3D tomograph imaging method and the imaging device thereof; Avoid the use of user-defined body surface fluorescence spectrum and separating treatment process; But the 3D optical sectioning imaging computational analysis of directly using multispectral fluoroscopic image data and original fluorescence spectrum to carry out multispectral fluorescence handles, and final 3D fluoroscopic image accuracy and the verity that obtains is better, and user's simple to operate in 3D fault imaging process.
Description of drawings
From the following detailed description that combines accompanying drawing, will make the above-mentioned of this utility model clear more fully with other purposes and advantage, wherein, same or analogous key element adopts identical label to represent.
Shown in Figure 1 for using the spectral separation treatment technology to obtain the two-dimentional fluorescence imaging process of target fluorescence.
Shown in Figure 2 is basic procedure sketch map according to the multispectral fluorescence 3D tomograph imaging method of this utility model one embodiment.
Shown in Figure 3 is structural representation according to the multispectral fluorescence 3D fault imaging device of this utility model one embodiment.
The specific embodiment
What introduce below is some in maybe embodiment of this utility model a plurality of, aims to provide the basic understanding to this utility model, is not intended to confirm the crucial or conclusive key element of this utility model or limit claimed scope.Understand easily, according to the technical scheme of this utility model, under the connotation that does not change this utility model, but one of ordinary skill in the art can propose other implementations of mutual alternative.Therefore, the following specific embodiment and accompanying drawing only are the exemplary illustrations to the technical scheme of this utility model, and should not be regarded as the whole of this utility model or be regarded as qualification or the restriction to this utility model technical scheme.
The applicant discovers; 2D fluoroscopic image based on spectral separation is handled is realized in the multispectral fluorescence 3D tomograph imaging method; Before the 3D optical sectioning imaging computing of carrying out single spectrum fluorescence; Must carry out multispectral separating treatment process, and multispectral separating treatment must be used user-defined body surface fluorescence spectrum.This is because the corresponding respectively body surface fluorescence spectrum of intravital multiple fluorogen also depends on the factors such as decay/scattering of in-vivo tissue (tissue between fluorogen and the predetermined body surface); The variation of fluorescence spectrum is related with the body surface degree of depth of fluorogen closely, and the necessary light transmittance of considering this in-vivo tissue etc.; For addressing this problem, the user must manually select the zone of this fluorogen of performance to come the user-defined body surface fluorescence spectrum of corresponding acquisition.Like this, the acquisition of user-defined body surface fluorescence spectrum is not only time-consuming, and unstable variable, influenced by user's subjective judgment.When carrying out the spectral separation processing, be difficult to obtain to reflect accurately and reliably the 2D fluoroscopic image of real information usually based on this body surface fluorescence spectrum.And then the accuracy and the verity of the 3D fluoroscopic image that obtains based on this 2D fluoroscopic image computing are relatively poor.
Shown in Figure 2 is basic procedure sketch map according to the multispectral fluorescence 3D tomograph imaging method of this utility model one embodiment.Shown in Figure 3 is structural representation according to the multispectral fluorescence 3D fault imaging device of this utility model one embodiment.In conjunction with Fig. 2 and shown in Figure 3; The multispectral fluorescence 3D fault imaging device 300 that this multispectral fluorescence 3D fault imaging uses comprises fluorescence imaging system 310 and data analysis blood processor 330 basically; (it can be the LASER Light Source of the light that sends different wave length to the light source 311 that uses in this fluorescence imaging system 310; When fluorometric reagent is self-luminous body, light source 311 can be set), shine target live body (it can be the live test object) from different perspectives, the intravital Different Organs of target has been injected different types of fluorometric reagent; Thereby form different fluorogens in vivo; The intravital fluorometric reagent of target is luminous under light source 311 irradiations, behind the optical filter 313 in this fluorescence imaging system of this luminous process, obtains fluoroscopic image data at its ccd image sensor 315.The fluoroscopic image data that ccd image sensor 315 obtains can transfer to data analysis blood processor 330, and in this embodiment, data analysis blood processor 330 comprises processor 331, memorizer 332 and demonstration and input terminal 333.Data analysis blood processor 330 is used to handle this fluoroscopic image data, to obtain multispectral fluorescence 3D fault imaging.Method step shown in Figure 2 mainly is to accomplish through this data analysis blood processor 330.
As shown in Figure 2, step S110 obtains a plurality of fluoroscopic images.In this step; There are two kinds of situations in fluoroscopic image, and first kind of situation is that the intravital diverse location of target (for example Different Organs) obtains different fluorometric reagents; For example; It can inject different fluorometric reagents in Different Organs, also can be at the different reagent of same position, and different diffusion of reagents form fluorogen to Different Organs; This target live body obtains a plurality of multispectral fluoroscopic image of different angles, Different Light under the fluorescence imaging system, this fluoroscopic image data inputs to data analysis blood processor 330; Second kind of situation is; Only in vivo inject a kind of fluorometric reagent to target; This target live body obtains a plurality of fluoroscopic images of different angles, Different Light under the fluorescence imaging system, this fluoroscopic image is single spectrum fluoroscopic image basically, and fluoroscopic image data inputs to data analysis blood processor 330.In first kind of situation; Has the characteristic that the part original spectrum overlaps between the different fluorescence source (for example fluorometric reagent); The luminous signal and the intravital autofluorescence signal (for example, fur, food etc. send) that can comprise fluorescent agent in the multispectral fluoroscopic image.
In this step, can also comprise each pixel in the multispectral fluoroscopic image being carried out the process that normalization is handled.In normalization is handled, convert the pixel value (pixel value of ccd sensor output) of each pixel into same physical unit (for example, luminous intensity unit, W/cm
2) represent, so that 3D optical sectioning imaging computational analysis is thereafter handled.Therefore; When carrying out this standard treated; Must carry out the measurement of excitating light strength by employed optical filter 313 when obtaining this multispectral fluoroscopic image, correspondingly, be provided with calibration module 317 in the fluorescence imaging system; It is used to carry out above normalization processing procedure, and can carry out the measurement of excitating light strength to optical filter 313.
More specifically, in this step, possibly need to use different optical filters to obtain different fluoroscopic images, therefore, possibly have the situation of eyeglass distortion, for example, color distortion etc.Preferably, can also comprise compensation process, it is used for the eyeglass distortion of using different optical filter to produce, thereby can obtain the fluoroscopic image of better effect.In this embodiment, the function of this compensation process also can be accomplished through the calibration module 317 that is provided with in the fluorescence imaging system.
Further, step S130 judges whether to belong to multispectral fluoroscopic image according to this fluoroscopic image data.If be judged as be, get into step S170,, get into step S190 if be judged as not.
Before execution in step S170, also necessary completing steps S150 provides original fluorescence spectrum.In this step, kind and quantity according to above fluorometric reagent to live body injection provide its original fluorescence spectrum to each fluorometric reagent.This original fluorescence spectrum can be obtained from the distributors of fluorometric reagent, also can this fluorescent agent directly be placed fluorescence imaging system 310, measures through this fluorometric reagent is experimentized and obtains its original fluorescence spectrum.Need to understand and to be, " original fluorescence spectrum " is meant the fluorescence spectrum that every kind of fluorometric reagent obtains under external environment, and factor such as the interior muscular tissue of Considering Body is not to spectrographic influence for it, and therefore, its difference is different from " body surface fluorescence spectrum ".The original fluorescence spectrum of every kind of reagent can be stored in the memorizer 332 of data analysis blood processor 330 of 3D fault imaging device, and in each multispectral fluorescence 3D fault imaging process, can reuse.Therefore, the sequencing relation between step S150 and the step S110 is not what limit, can arrange as the case may be.
Further, step S170 is according to the original fluorescence spectrum of fluorometric reagent corresponding selection fluoroscopic image.In this step, in the multispectral fluoroscopic image, every kind of fluoroscopic image is according to the original fluorescence spectrum of its fluorometric reagent corresponding selection, thereby realizes the association of the two.This step can be accomplished in the data analysis blood processor 330 of 3D fault imaging device; For example; The user through show with input terminal 333 in manually accomplish, the regional process of manual selection of the relative body surface fluorescence spectrum of this operating process is relatively easy and stablize, and requires low to user's operation.
In this step, if the user need not use some fluoroscopic image, also can select a plurality of multispectral fluoroscopic images, for example abandon certain fluoroscopic image and be used for the 3D imaging.
Further, step S190, the 3D optical sectioning imaging computational analysis of list/multispectral fluorescence is handled.According to step S130,, can adopt single spectrum fluorescence 3D optical sectioning imaging computational analysis Processing Algorithm to realize for the single spectrum fluoroscopic image; For a plurality of multispectral fluoroscopic images, adopt the 3D optical sectioning imaging computational analysis of multispectral fluorescence to handle the reconstruction that realizes the 3D fluoroscopic image, the corresponding spectrographic variation in the body between fluorometric reagent to body surface propagation periods realizes through this step S190; Wherein, The author is that Abhijit J. Chaudhari, name are called in the paper of " Hyperspectral and multispectral optical bioluminescence and fluorescence tomography in small animal imaging "; Disclosed the 3D optical sectioning imaging computational analysis processing method of concrete multispectral fluorescence, realized that the multispectral 3D of 3 kinds of fluorometric reagents rebuilds; But in this paper, the data that computational analysis is handled are artificial, have only disclosed 3D optical sectioning imaging computational analysis processing method, and have not disclosed step S150 and step S170.
Step S190 mainly passes through the processor 331 of the data analysis blood processor 330 of 3D fault imaging device 300 to be accomplished; A plurality of multispectral fluoroscopic images and corresponding original spectrum are input to data analysis blood processor 330; The 3D optical sectioning imaging computational analysis of multispectral fluorescence is once handled and can be realized the reconstruction of 3D fluoroscopic image, and the 3D fluoroscopic image of rebuilding the most at last is shown to the user through demonstration and input terminal 333.
So far, realize 3D fault imaging process.In this field by multispectral 2D fluorescence imaging in the technical development process of multispectral 3D fault imaging, use spectral separation to handle usually and obtain the 3D fault imaging based on the 3D optical sectioning imaging computing that the 2D fluoroscopic image that this separating treatment obtains carries out single spectrum fluorescence; But, in method shown in Figure 2, be not to adopt spectral separation place process; And be to use the multispectral fluoroscopic image data of the original input of step S110; And corresponding original fluorescence spectrum, carry out the 3D optical sectioning imaging computational analysis of multispectral fluorescence and handle, carry out the 3D fluoroscopic image and rebuild; On the one hand, the multispectral fluoroscopic image data of use has kept the depth information of the relative body surface of fluorescence; On the other hand, original fluorescence spectrum is standard basically, has avoided the unstable variable shortcoming of user-defined body surface fluorescence spectrum, makes that final 3D fluoroscopic image accuracy and the verity that obtains is better.And procedure embodiment illustrated in fig. 2 need not be used to define the respective regions of fluorogen, and is when carrying out the 3D fault imaging based on device shown in Figure 3, simple to operate.
Above example has mainly been explained the multispectral fluorescence 3D tomograph imaging method and the multispectral fluorescence 3D fault imaging device of this utility model.Although only the embodiment to some of them this utility model is described, those of ordinary skills should understand, and this utility model can be in not departing from its purport and scope be implemented with many other forms.Therefore, example of being showed and embodiment are regarded as schematic and nonrestrictive, are not breaking away under the situation of liking defined this utility model spirit of each claim and scope enclosed, and this utility model possibly contained various modifications and replacement.
Claims (6)
1. a multispectral fluorescent three-dimensional fault imaging device is characterized in that, comprising:
The fluorescence imaging system, it is used for obtaining multispectral fluoroscopic image from the target live body; With
The data analysis blood processor;
Wherein, The original fluorescence spectrum of the multiple fluorometric reagent that uses simultaneously in the data of said multispectral fluoroscopic image and the said target live body inputs to said data analysis blood processor, said data analysis blood processor be used for based on the three-dimensional optical fault imaging computational analysis that said original fluorescence spectrum is carried out multispectral fluorescence to the data of said multispectral fluoroscopic image handle, with the reconstruction of three-dimensional fluoroscopic image.
2. multispectral fluorescent three-dimensional fault imaging device as claimed in claim 1 is characterized in that, said fluorescence imaging system also is used for the original fluorescence spectrum that experiment measuring draws said fluorometric reagent.
3. multispectral fluorescent three-dimensional fault imaging device as claimed in claim 1; It is characterized in that; Be provided with optical filter and calibration module in the said fluorescence imaging system, said calibration module is used for carrying out pixel value with each pixel of multispectral fluoroscopic image and converts the normalization that same physical unit representes into and handle.
4. multispectral fluorescent three-dimensional fault imaging device as claimed in claim 3 is characterized in that said calibration module is used for said optical filter is carried out the measurement of excitating light strength.
5. multispectral fluorescent three-dimensional fault imaging device as claimed in claim 1 is characterized in that, said data analysis blood processor comprises:
Processor and
Memorizer;
Wherein, the data of the said multispectral fluoroscopic image that said fluorescence imaging system obtains input in the said processor and handle with the three-dimensional optical fault imaging computational analysis of carrying out said multispectral fluorescence, and said original fluorescence spectrum is stored to said memorizer.
6. like claim 1 or 5 described multispectral fluorescent three-dimensional fault imaging devices, it is characterized in that said data analysis blood processor also comprises:
Show and input terminal that it is used for the said original fluorescence spectrum of fluorometric reagent corresponding selection used simultaneously according to said target live body at least.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220124775 CN202568208U (en) | 2012-03-29 | 2012-03-29 | Multispectral fluorescent three-dimensional tomography device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220124775 CN202568208U (en) | 2012-03-29 | 2012-03-29 | Multispectral fluorescent three-dimensional tomography device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202568208U true CN202568208U (en) | 2012-12-05 |
Family
ID=47237672
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201220124775 Expired - Fee Related CN202568208U (en) | 2012-03-29 | 2012-03-29 | Multispectral fluorescent three-dimensional tomography device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202568208U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103356165A (en) * | 2012-03-29 | 2013-10-23 | 锐珂（上海）医疗器材有限公司 | Multispectral fluorescence three-dimensional tomography method and device |
| CN103616338A (en) * | 2013-10-26 | 2014-03-05 | 淮北师范大学 | Reconstruction method for atmosphere trace gas spatial distribution by differential optical absorption spectroscopy tomoscan |
| CN112229827A (en) * | 2020-09-07 | 2021-01-15 | 南京大学 | Real-time multispectral tomography method and device |
-
2012
- 2012-03-29 CN CN 201220124775 patent/CN202568208U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103356165A (en) * | 2012-03-29 | 2013-10-23 | 锐珂（上海）医疗器材有限公司 | Multispectral fluorescence three-dimensional tomography method and device |
| CN103616338A (en) * | 2013-10-26 | 2014-03-05 | 淮北师范大学 | Reconstruction method for atmosphere trace gas spatial distribution by differential optical absorption spectroscopy tomoscan |
| CN112229827A (en) * | 2020-09-07 | 2021-01-15 | 南京大学 | Real-time multispectral tomography method and device |
| CN112229827B (en) * | 2020-09-07 | 2022-02-08 | 南京大学 | Real-time multispectral tomography method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11656448B2 (en) | Method and apparatus for quantitative hyperspectral fluorescence and reflectance imaging for surgical guidance | |
| US20230414311A1 (en) | Imaging and display system for guiding medical interventions | |
| US9042967B2 (en) | Device and method for wound imaging and monitoring | |
| Sarantopoulos et al. | Imaging the bio-distribution of fluorescent probes using multispectral epi-illumination cryoslicing imaging | |
| US20180042483A1 (en) | Systems and methods for hyperspectral imaging | |
| CN106455942B (en) | Processing unit, endoscope apparatus and system, the method for work of image processing apparatus | |
| Zhang et al. | A multidimensional choledoch database and benchmarks for cholangiocarcinoma diagnosis | |
| US10226180B2 (en) | System, method, and apparatus for performing histopathology | |
| CN103458759A (en) | Fluorescence observation device | |
| Venugopal et al. | Adaptive wide-field optical tomography | |
| CN106683180B (en) | Image processing method and system | |
| Tate et al. | Multispectral fluorescence imaging of human ovarian and fallopian tube tissue for early-stage cancer detection | |
| CN202568208U (en) | Multispectral fluorescent three-dimensional tomography device | |
| CN103356165A (en) | Multispectral fluorescence three-dimensional tomography method and device | |
| Candeo et al. | Virtual unfolding of light sheet fluorescence microscopy dataset for quantitative analysis of the mouse intestine | |
| CN105662354B (en) | A kind of wide viewing angle optical molecular tomographic navigation system and method | |
| Lihacova et al. | Multi-class CNN for classification of multispectral and autofluorescence skin lesion clinical images | |
| Akbar et al. | Image analysis for MRI based brain tumor detection | |
| US20230280577A1 (en) | Method and apparatus for quantitative hyperspectral fluorescence and reflectance imaging for surgical guidance | |
| CN100518628C (en) | In vivo fluorescence numerator imaging modelling approach capable of calling multiple imaging algorithms | |
| Hu et al. | Design and validation of an intraoperative autofluorescence lifetime imaging device | |
| Jiang et al. | Calibration of fluorescence imaging for tumor surgical margin delineation: multistep registration of fluorescence and histological images | |
| Kleshnin et al. | Trans-illumination fluorescence imaging of deep-seated tumors in small animals | |
| Ngo et al. | Label‐free cleared tissue microscopy and machine learning for 3D histopathology of biomaterial implants | |
| Jung et al. | Functional near-infrared imaging reconstruction based on spatiotemporal features: venous occlusion studies |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121205 Termination date: 20210329 |