CN115682988B - QME detection system for human tissue edge - Google Patents
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Abstract
The invention discloses a human tissue edge QME detection system, which comprises: OCT scans the imaging device, image acquisition device, processor, displacement device, mechanics excitation device and objective table; the processor controls the mechanical excitation device to extrude the biological sample to be scanned up and down at a certain frequency and a certain amplitude; the processor also controls the OCT scanning imaging device to acquire scanning data of the biological sample to be scanned before extrusion and scanning data after extrusion at corresponding frequencies; the processor calculates the elastic modulus of the biological sample to be scanned according to the scanning data of the biological sample to be scanned before extrusion and the scanning data after extrusion, which are obtained by the OCT scanning imaging device, and compares the elastic modulus with a normal value to judge the characteristics of the biological sample to be scanned. The human tissue edge QME detection system can timely acquire the information of biological tissues excised in the open operation process in the surgical operation process, and is convenient for doctors to timely judge the progress of the operation.
Description
Technical Field
The invention belongs to the technical field of OCT detection, and particularly relates to a QME detection system for human tissue edges.
Background
The existing frozen section pathological analysis, cytology printing and a plurality of novel imaging methods based on spectroscopy, microscopic imaging, tomography imaging and fluorescence imaging which are emerging in recent years all have certain cancerous tissue detection capability theoretically. None of these techniques have found widespread clinical use. The main reason is that the above method is difficult to combine the accuracy of cancer detection with the clinical practicality of imaging technology.
Accordingly, there is a need for an intraoperative imaging and detection instrument that can timely obtain information about the boundary of an open surgical resection (e.g., confirmation of residual tumor) during a surgical procedure.
Disclosure of Invention
The invention provides a human tissue edge QME detection system for solving the technical problems, which adopts the following technical scheme:
a human tissue edge QME detection system comprising:
the OCT scanning imaging device is used for scanning the biological sample to be scanned to obtain scanning data;
the image acquisition device is used for acquiring image data of a biological sample to be scanned;
the processor is used for determining outline data of the biological sample to be scanned according to the image data acquired by the image acquisition device;
the displacement device is connected to the image acquisition device and moves the OCT scanning imaging device to an upper area of the biological sample to be scanned according to the profile data calculated by the processor;
the mechanical excitation device is arranged between the OCT scanning imaging device and the biological sample to be scanned;
the object stage is used for placing the biological sample to be scanned, and is also used for applying prestress to the biological sample to be scanned and pressing the biological sample to the mechanical excitation device so as to keep the biological sample to be scanned and the mechanical excitation device tightly attached;
the processor is connected to the OCT scanning imaging device, the image acquisition device, the displacement device, the mechanical excitation device, and the stage to control the above devices;
the processor controls the mechanical excitation device to extrude the biological sample to be scanned up and down at a certain frequency and a certain amplitude;
the processor also controls the OCT scanning imaging device to acquire scanning data of the biological sample to be scanned before extrusion and scanning data after extrusion at corresponding frequencies;
the processor calculates the elastic modulus of the biological sample to be scanned according to the scanning data of the biological sample to be scanned before extrusion and the scanning data after extrusion, which are obtained by the OCT scanning imaging device, and compares the elastic modulus with a normal value to judge the characteristics of the biological sample to be scanned.
Further, the mechanical excitation device comprises:
a mechanical exciter for generating vibration of a fixed frequency;
an imaging window connected below the mechanical actuator;
a mechanical sensor connected to the lower part of the imaging window, the mechanical sensor being used for contacting with the biological sample to be scanned;
the mechanical actuator is electrically connected to the processor.
Further, the human tissue edge QME detection system further comprises:
the signal generator is connected to the controller and used for generating a mechanical excitation signal with preset frequency under the control of the controller;
the signal amplifier is connected to the signal generator and the mechanical exciter, and is used for amplifying the mechanical excitation signal generated by the signal generator and sending the amplified mechanical excitation signal to the mechanical exciter, and the mechanical exciter generates vibration with corresponding frequency after receiving the mechanical excitation signal so as to squeeze the biological sample to be scanned up and down.
Further, the vibration amplitude of the mechanical actuator is in a range of 5 μm or more and 10 μm or less.
Further, the mechanical sensor is a silicone mechanical sensor.
Further, the method for calculating the elastic modulus of the biological sample to be scanned by the processor comprises the following steps:
calculating the difference value between the scanning data before extrusion and the scanning data after extrusion, performing vector integration calculation to obtain the longitudinal displacement of the biological sample to be scanned, and substituting the longitudinal displacement into a stress-strain curve calibrated in advance by a mechanical sensor to obtain the elastic modulus of the biological sample to be scanned.
Further, when the profile data of the biological sample to be scanned is larger than a preset value, the processor divides the profile data into a plurality of subareas, the displacement device moves the OCT scanning imaging device to the position above the corresponding subareas one by one according to the divided subareas to acquire data, and finally the data of each subarea are spliced to obtain complete scanning data.
Further, the OCT imaging device comprises an OCT scanning probe and an OCT photoelectric integrated system, wherein a common light path structure is adopted inside the OCT scanning probe.
Further, the image acquisition device is a binocular camera, and the image acquisition device is connected to the OCT scanning probe or the displacement device.
Further, the displacement device is a mechanical arm, one end of the mechanical arm is fixed, and the OCT scanning probe is fixed to the other end of the mechanical arm.
The invention has the advantages that the provided human tissue edge QME detection system can timely acquire the information of the biological tissue excised in the open operation process in the surgical operation process, thereby facilitating doctors to timely judge the progress of the operation.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic diagram of a human tissue edge QME detection system of the present invention;
FIG. 2 is a schematic diagram of a mechanical excitation device of a human tissue edge QME detection system of the present invention;
FIG. 3 is a schematic illustration of the segmentation of a large field of view of the present invention;
fig. 4 is an optical path diagram in the OCT scanning probe of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
In the description of the present invention, unless explicitly stated and limited otherwise, the terms "connected," "connected," and "fixed" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the present invention, unless expressly stated or limited otherwise, a first feature "above" or "below" a second feature may include both the first and second features being in direct contact, as well as the first and second features not being in direct contact but being in contact with each other through additional features therebetween. Moreover, a first feature being "above," "over" and "on" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicating that the first feature is higher in level than the second feature. The first feature being "under", "below" and "beneath" the second feature includes the first feature being directly under and obliquely below the second feature, or simply means that the first feature is less level than the second feature.
In order to timely judge the information of the biological tissues in the operation process, the application provides a Quantitative Microscopic Elastography (QME) technology (Quantitative Micro-Elastography) based on OCT (Optical Coherence Tomography) scanning imaging. Specifically, as shown in fig. 1, a QME detection system for human tissue edge of the present application comprises: an OCT scanning imaging device, an image acquisition device 3, a processor 9, a displacement device 1, a mechanical excitation device and a stage 4. Wherein the OCT scanning imaging device is configured to scan a biological sample 14 to be scanned to obtain scan data. The image acquisition device 3 is used for acquiring image data of a biological sample 14 to be scanned. The processor 9 is configured to determine contour data of the biological sample 14 to be scanned from the image data acquired by the image acquisition device 3. The processor 9 obtains three-dimensional data of the contour of the biological sample 14 to be scanned by performing image processing, analysis, and data calculation on the image data acquired by the image acquisition device 3. The displacement device 1 is connected to the image acquisition device 3, and the displacement device 1 moves the OCT scanning imaging device to an upper region of the biological sample 14 to be scanned according to the profile data calculated by the processor 9. The mechanical excitation device is arranged between the OCT scanning imaging device and the biological sample 14 to be scanned. The stage 4 is used for placing a biological sample 14 to be scanned. The objective table 4 is further used for applying prestress to the biological sample 14 to be scanned to press the biological sample 14 to be scanned to the mechanical excitation device, so that the biological sample 14 to be scanned and the mechanical excitation device are kept closely attached. It will be appreciated that a drive motor is provided in the stage 4 and the controller controls the drive motor to drive the stage up so as to press the biological sample 14 to be scanned against the mechanical excitation device.
The biological sample 14 to be scanned is placed on the stage 4, and the mechanical excitation device is used for applying prestress to the biological sample 14 to be scanned.
Specifically, the processor 9 is connected to the OCT scanning imaging device, the image acquisition device 3, the displacement device 1, the mechanical excitation device, and the stage 4 to control the above devices. The processor 9 controls the mechanical excitation means to squeeze the biological sample 14 to be scanned up and down at a frequency and amplitude. The processor 9 also controls the OCT scanning imaging means to acquire the scanning data of the biological sample 14 to be scanned before compression and the scanning data after compression at the corresponding frequencies. The processor 9 calculates the elastic modulus of the biological sample 14 to be scanned according to the scanning data of the biological sample 14 to be scanned before extrusion and the scanning data after extrusion, which are acquired by the OCT scanning imaging device, compares the elastic modulus with a normal value, and judges the characteristics of the biological sample 14 to be scanned according to the difference between the elastic modulus and the normal value. The elastic modulus of normal biological tissue is different from that of tumor biological tissue. Therefore, whether the biological tissue to be scanned has a tumor can be judged by comparing the calculated elastic modulus with a normal value.
As a preferred embodiment, as shown in FIG. 2, the mechanical excitation device comprises a mechanical exciter 10, an imaging window 11 and a mechanical sensor 13. Specifically, the mechanical exciter 10 is a ring-shaped mechanical exciter 10 for generating vibration of a fixed frequency. The imaging window 11 is made of glass material and is connected to the lower part of the mechanical actuator 10. The lower surface of the imaging window 11 is a reference surface 12. The stage 4 applies a prestress to the biological sample 14 to be scanned to press it against the lower surface of the imaging window 11 so as to be closer to the imaging window 11. A mechanical sensor 13 is connected to the underside of the imaging window 11, the mechanical sensor 13 being adapted to be in contact with the biological sample 14 to be scanned. The mechanical actuator 10 is electrically connected to the processor 9.
Specifically, the vibration amplitude of the mechanical actuator 10 is in the range of 5 μm or more and 10 μm or less. In the present application, the vibration amplitude of the mechanical actuator 10 is 5 μm. Preferably, the mechanical sensor 13 is a silicone mechanical sensor 13, preferably a silicone membrane.
As shown in fig. 1, the human tissue edge QME detection system further comprises: a signal generator 7 and a signal amplifier 5.
The signal generator 7 is connected to the controller and generates a mechanical excitation signal of a preset frequency under the control of the controller. In the present application, the model number of the signal generator 7 is Keysight33500BSeries true. The signal amplifier 5 is connected to the signal generator 7 and the mechanical exciter 10, the signal amplifier 5 is used for amplifying the mechanical excitation signal generated by the signal generator 7, and transmitting the amplified mechanical excitation signal to the mechanical exciter 10, the mechanical exciter 10 generates vibration with a corresponding frequency after receiving the mechanical excitation signal, and the mechanical exciter 10 extrudes the biological sample 14 to be scanned up and down through the imaging window 11 and the mechanical sensor 13 connected to the mechanical exciter 10 while vibrating. In the present application, the model of the signal amplifier 5 is LE/200/070/EBW of the company Piezomechanik GmbH in Germany, and the model of the mechanical actuator 10 is customized by the company Piezomechanik GmbH in Germany.
In this application, the method for calculating the elastic modulus of the biological sample 14 to be scanned by the processor 9 is:
and calculating the difference value between the scanning data before extrusion and the scanning data after extrusion, performing vector integral calculation to obtain the longitudinal displacement of the biological sample 14 to be scanned at each plane coordinate point (the coordinate point of the reference datum plane 12), and substituting the longitudinal displacement into a stress-strain curve calibrated in advance by the mechanical sensor 13 to obtain the elastic modulus of the biological sample 14 to be scanned corresponding to the plane coordinate point.
As a preferred embodiment, when the profile data of the biological sample 14 to be scanned is greater than a preset value, the processor 9 divides the profile data into a plurality of sub-areas, the displacement device 1 moves the OCT scanning imaging device to the position above the corresponding sub-area one by one according to the divided sub-areas to perform data acquisition, and finally, the data of each sub-area is spliced to obtain complete scanning data.
It will be appreciated that in the present application, an OCT imaging device can achieve a 15mm x 15mm scan at a time. Therefore, if the biological sample 14 to be scanned does not exceed the range, the acquisition of the scan data can be completed with a single scan. When the biological sample 14 to be scanned exceeds this range, the processor 9 will first divide the large field of view into a plurality of sub-regions 15, as shown in fig. 3. The displacement device 1 moves the OCT scanning imaging device to the upper part of each sub-area 15 for scanning, and data is acquired. After the scanning of each sub-area 15 is completed, the data of each sub-area 15 is spliced to obtain complete scanned data.
As a preferred embodiment, the OCT imaging device includes the OCT scanning probe 2 and the OCT optoelectronic integration system 8, and in this application, the OCT imaging device adopts a common optical path structure. The optical path diagram in the OCT scanning probe 2 is referred to fig. 4. Specifically, a light source 16 led in by a single-mode fiber forms a parallel light beam through a collimator 17, the direction of the light path is changed through a prism 18, the parallel light beam enters a sample light path after entering a beam splitter 19, the light path is adjusted to a proper angle through the cooperation of two scanning galvanometer 20, the light path enters a last scanning lens 22, and the reflected interference light 21 is received by the spectrometer in fig. 2 after passing through the scanning galvanometer 20 and is further analyzed. In this application, a common optical path structure is used, and the reference optical path is removed. The light sources all enter the sample light path. While the lower surface of the imaging window 11 provides a strong specular reflection to become the new reference datum 12. One of the advantages of the improved optical path is that the optical path portion is simplified, making the OCT scanning probe 2 more lightweight and thus suitable for clamping by the displacement device 1. Meanwhile, since the reference optical path and the sample optical path are identical in part before reaching the reference plane 12, the dispersion and polarization effects of light are identical, and the subsequent data dispersion compensation operation required in the old spectroscopic optical path structure is not required. Therefore, the detection stability of the optical signal phase is higher, and the physical stability support is provided for the vector integration algorithm.
The image acquisition device 3 is a binocular camera, and the image acquisition device 3 is connected to the OCT scanning probe 2 and moves along with the OCT scanning probe 2. It will be appreciated that the image acquisition device 3 may also be arranged on the displacement device 1 to follow the movement of the displacement device 1. The displacement device 1 is a mechanical arm, one end of which is fixed, and the OCT scanning probe 2 is fixed to the other end of the mechanical arm.
Preferably, the human tissue edge QME detection system is further provided with a display means 6 for displaying the scan results and related data.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be appreciated by persons skilled in the art that the above embodiments are not intended to limit the invention in any way, and that all technical solutions obtained by means of equivalent substitutions or equivalent transformations fall within the scope of the invention.
Claims (10)
1. A human tissue edge QME detection system, comprising:
the OCT scanning imaging device is used for scanning the biological sample to be scanned to obtain scanning data;
the image acquisition device is used for acquiring image data of a biological sample to be scanned;
the processor is used for determining outline data of the biological sample to be scanned according to the image data acquired by the image acquisition device;
the displacement device is connected to the image acquisition device and moves the OCT scanning imaging device to an upper area of the biological sample to be scanned according to the profile data calculated by the processor;
the mechanical excitation device is arranged between the OCT scanning imaging device and the biological sample to be scanned;
the object stage is used for placing the biological sample to be scanned, and is also used for applying prestress to the biological sample to be scanned and pressing the biological sample to the mechanical excitation device so as to keep the biological sample to be scanned and the mechanical excitation device tightly attached;
the processor is connected to the OCT scanning imaging device, the image acquisition device, the displacement device, the mechanical excitation device, and the stage to control the above devices;
the processor controls the mechanical excitation device to extrude the biological sample to be scanned up and down at a certain frequency and a certain amplitude;
the processor also controls the OCT scanning imaging device to acquire scanning data of the biological sample to be scanned before extrusion and scanning data after extrusion at corresponding frequencies;
the processor calculates the elastic modulus of the biological sample to be scanned according to the scanning data of the biological sample to be scanned before extrusion and the scanning data after extrusion, which are obtained by the OCT scanning imaging device, and compares the elastic modulus with a normal value to judge the characteristics of the biological sample to be scanned.
2. The human tissue edge QME detection system of claim 1,
the mechanical excitation device comprises:
a mechanical exciter for generating vibration of a fixed frequency;
an imaging window connected below the mechanical actuator;
a mechanical sensor connected to the lower part of the imaging window, the mechanical sensor being used for contacting with the biological sample to be scanned;
the mechanical actuator is electrically connected to the processor.
3. The human tissue edge QME detection system of claim 2, wherein,
the human tissue edge QME detection system further comprises:
the signal generator is connected to the controller and used for generating a mechanical excitation signal with preset frequency under the control of the controller;
the signal amplifier is connected to the signal generator and the mechanical exciter, and is used for amplifying the mechanical excitation signal generated by the signal generator and sending the amplified mechanical excitation signal to the mechanical exciter, and the mechanical exciter generates vibration with corresponding frequency after receiving the mechanical excitation signal so as to squeeze the biological sample to be scanned up and down.
4. The human tissue edge QME detection system of claim 3,
the vibration amplitude of the mechanical exciter is in the range of 5 μm or more and 10 μm or less.
5. The human tissue edge QME detection system of claim 3,
the mechanical sensor is a silicone mechanical sensor.
6. The human tissue edge QME detection system of claim 1,
the method for calculating the elastic modulus of the biological sample to be scanned by the processor comprises the following steps:
calculating the difference value between the scanning data before extrusion and the scanning data after extrusion, performing vector integration calculation to obtain the longitudinal displacement of the biological sample to be scanned, and substituting the longitudinal displacement into a stress-strain curve calibrated in advance by a mechanical sensor to obtain the elastic modulus of the biological sample to be scanned.
7. The human tissue edge QME detection system of claim 1,
when the contour data of the biological sample to be scanned is larger than a preset value, the processor divides the contour data into a plurality of subareas, the displacement device moves the OCT scanning imaging device to the position above the corresponding subareas one by one according to the divided subareas to acquire data, and finally the data of each subarea are spliced to obtain complete scanning data.
8. The human tissue edge QME detection system of claim 1,
the OCT imaging device comprises an OCT scanning probe and an OCT photoelectric integrated system, wherein a common light path structure is adopted in the OCT scanning probe.
9. The human tissue edge QME detection system of claim 8, wherein,
the image acquisition device is a binocular camera and is connected to the OCT scanning probe or the displacement device.
10. The human tissue edge QME detection system of claim 8, wherein,
the displacement device is a mechanical arm, one end of the mechanical arm is fixed, and the OCT scanning probe is fixed to the other end of the mechanical arm.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104434028A (en) * | 2014-11-15 | 2015-03-25 | 中国科学院光电技术研究所 | System and method for combining cornea elasticity imaging with anterior segment structure imaging |
| CN109875504A (en) * | 2019-01-15 | 2019-06-14 | 温州医科大学 | One kind being based on the viscoelastic method of jet-propelled optical coherence elastography non-invasive measurement cornea |
| CN111466884A (en) * | 2020-04-28 | 2020-07-31 | 北京信息科技大学 | Optical coherent elastic imaging device |
| CN112004461A (en) * | 2018-04-30 | 2020-11-27 | 米尔顿艾塞克斯有限公司 | Device for multimodal analysis of allergic reactions in skin tests and hybrid method for multispectral imaging of allergic reactions in skin tests and use thereof for automatically evaluating the results of these tests |
| WO2021155382A1 (en) * | 2020-01-31 | 2021-08-05 | Cornell University | Light-sheet photonic-force optical coherence elastography |
| CN113208556A (en) * | 2015-09-02 | 2021-08-06 | 通用医疗公司 | Performing a procedure based on a monitoring characteristic of a biological tissue |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10667791B2 (en) * | 2011-08-19 | 2020-06-02 | The University Of British Columbia | Elastography using ultrasound imaging of a thin volume |
| WO2013059303A1 (en) * | 2011-10-17 | 2013-04-25 | University Of Washington Through Its Center For Commercialization | Methods and systems for imaging tissue motion using optical coherence tomography |
| US9687145B2 (en) * | 2014-11-10 | 2017-06-27 | University Of Houston System | Optical coherence elastography to assess biomechanics and detect progression of ocular and other tissues degenerative diseases |
| US9498120B2 (en) * | 2014-12-22 | 2016-11-22 | Carl Zeiss Meditec Ag | Method and system for optical coherence elastography of posterior parts of the eye |
| US10548479B2 (en) * | 2015-02-16 | 2020-02-04 | The Regents Of The University Of California | Optical coherence elastography (OCE) method under acoustic radiation force excitation using OCT doppler variance methods and OCT correlation-based methods |
| US10072920B2 (en) * | 2015-05-22 | 2018-09-11 | Cornell University | Optical sensing based on measurements of displacements induced by optical scattering forces in viscoelastic media using phase-sensitive optical coherence tomography |
-
2022
- 2022-12-13 CN CN202211594367.1A patent/CN115682988B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104434028A (en) * | 2014-11-15 | 2015-03-25 | 中国科学院光电技术研究所 | System and method for combining cornea elasticity imaging with anterior segment structure imaging |
| CN113208556A (en) * | 2015-09-02 | 2021-08-06 | 通用医疗公司 | Performing a procedure based on a monitoring characteristic of a biological tissue |
| CN112004461A (en) * | 2018-04-30 | 2020-11-27 | 米尔顿艾塞克斯有限公司 | Device for multimodal analysis of allergic reactions in skin tests and hybrid method for multispectral imaging of allergic reactions in skin tests and use thereof for automatically evaluating the results of these tests |
| CN109875504A (en) * | 2019-01-15 | 2019-06-14 | 温州医科大学 | One kind being based on the viscoelastic method of jet-propelled optical coherence elastography non-invasive measurement cornea |
| WO2021155382A1 (en) * | 2020-01-31 | 2021-08-05 | Cornell University | Light-sheet photonic-force optical coherence elastography |
| CN111466884A (en) * | 2020-04-28 | 2020-07-31 | 北京信息科技大学 | Optical coherent elastic imaging device |
Non-Patent Citations (3)
| Title |
|---|
| 曾广基 ; .澳大利亚乳腺癌早诊早治项目管理.现代医院.2018,(01),全文. * |
| 王娉娉 ; 杨芬 ; .生物组织弹性成像方法及其新技术进展.激光生物学报.2016,(06),全文. * |
| 王成 ; 董肖娜 ; 蔡干 ; 项华中 ; 郑刚 ; 张大伟 ; .组织光声弹性成像.中国激光.2018,(03),全文. * |
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