19 results about "Optical coherence elastography" patented technology

The invention discloses a biological tissue viscoelasticity optical coherence elastography method, system and equipment, and relates to the technical field of biological tissue viscoelasticity measurement. Non-contact biological tissue viscoelastic mechanical property detection is achieved through acoustic radiation force optical coherence elastography, the device can be applied to application scenes with biopsy requirements, distortion of a sound pressure field is reduced by applying the focal length-diameter ratio of the ultrasonic transducer and the frequency of an excitation signal, and the detection accuracy of the viscoelastic mechanical property of the biological tissue is improved. The capturing capability of tiny deformation of the biological tissue is improved, and the imaging quality and accuracy of the obtained displacement data of the biological tissue are improved, so that the accuracy of viscoelasticity calculation of the biological tissue is improved; meanwhile, viscoelasticity calculation is carried out on the phase velocity frequency dispersion curve of the biological tissue based on the surface acoustic wave frequency dispersion model, main energy distribution corresponding to elastic waves can be calculated, the detection and recognition effect is improved, and the accuracy of viscoelasticity calculation of the biological tissue is improved.

The utility model discloses a kind of non-contact optical coherence elastic imaging endoscope devices, comprising: non-contact ultrasonic excitation and optical detection integrated probe and high-speed sweep frequency laser, the integrated probe includes air-coupled ultrasonic transducer, collimating optical fiber, off-axis parabolic mirror and polymer resin packaging shell, air-coupled ultrasonic transducer diameter is not greater than 2.5 mm, center frequency is not less than 250 kHz, collimating optical fiber is single-mode fiber and emission end integrated collimator is used to produce collimating beam, off-axis parabolic mirror focal length is greater than 7 mm, the polymer resin packaging shell is used to integrally package integrated probe, the polymer resin packaging shell is designed using 3D printing, and it is windowed at the exit end of the off-axis parabolic mirror;The scanning speed of this high-speed sweep frequency laser is 100 kHz, center wavelength 1310 nm, bandwidth 100 nm, synchronous output trigger clock and sampling clock.

The application discloses a dual-mode optical coherence elastography device and method. The device comprises an excitation unit for generating an acoustic field; an imaging unit which is an optical coherence tomography system and is used for detecting the vibration of a sample, i.e. a strain response and an elastic wave response; and a coupling unit which has an acoustic reflection surface with a middle through hole and is used for reflecting the acoustic field generated by the excitation unit so that the coupling between a probe light beam emitted by the imaging unit and the acoustic field emitted by the excitation unit is on the same side of the sample. The application uses a multi-beam optical coherence tomography system to emit two or more probe light beams for dual-mode elastography, and can simultaneously obtain high-resolution strain information and quantitative elastic information of the sample, thereby solving the problem that the prior art cannot simultaneously perform strain imaging and elastic wave imaging.

The present application relates to the technical field of imaging, in particular to an optical coherence elastography method and device, electronic equipment and storage medium, wherein the method comprises: outputting laser light meeting preset time periodicity conditions and preset linear variation conditions by using a sweep frequency light source; generating a driving signal containing an analog signal or a digital signal according to a trigger signal; scanning a sample according to the driving signal; applying mechanical excitation to the sample by using the driving signal, generating two-dimensional imaging and three-dimensional imaging of the sample according to two-dimensional elastic waves and three-dimensional elastic waves respectively; interfering laser light reflected by a sample arm with reference arm laser light; reconstructing the interference signal into a sample structure image, generating biomechanical information of the sample according to the elastic waves, and determining the final optical coherence elastography result according to the biomechanical information, the three-dimensional imaging and the two-dimensional imaging. Thus, the problem that the existing optical coherence elastography method cannot realize two-dimensional dynamic imaging and three-dimensional in vivo imaging is solved.

The invention discloses a self-adaptive vector strain calculation method and system for three-dimensional optical coherence elastography. The method comprises the following steps: carrying out continuous interference spectrogram acquisition on a material before and after loading through a three-dimensional optical coherence tomography system; preprocessing the acquired continuous interference spectrogram to obtain a three-dimensional structure field pattern before loading and a three-dimensional structure field pattern after loading; performing complex conjugate multiplication on the three-dimensional OCT volume data in the three-dimensional structure field graph before loading voxel by voxel and the three-dimensional OCT volume data in the three-dimensional structure field graph after loading voxel by voxel to obtain a displacement field vector graph before and after material loading; performing adaptive parameter optimization on the displacement field vector diagram to obtain a complex vector after adaptive window averaging; and calculating a three-dimensional strain field based on the complex vector averaged by the adaptive window. In the strain calculation process, the size of the window can be adaptively selected according to the mechanical characteristics of the object, and various mechanical characteristics of the three-dimensional body are fully utilized.

The invention discloses a phase unwrapping algorithm for optical coherence elastography, and relates to the technical field of phase unwrapping. The algorithm is based on an improved U-Net architecture, a network comprising an encoder, a decoder and a jump connection mechanism is constructed, the core is cooperated with an EGA module through a multi-branch Inception residual module in the encoder, the multi-branch Inception residual module extracts different receptive field phase features through five parallel convolution branches, the EGA module calculates gradients through a Sobel operator, attention weights are generated, and the attention weights are calculated through the EGA module. Strengthening phase edge and gradient mutation region response; the decoder removes residual noise through transposition convolution up-sampling, fusion of high and low layer features for fine reconstruction, and optional smoothing filtering. The method solves the problems that a traditional algorithm is low in precision, poor in robustness and low in speed under the scenes of low signal-to-noise ratio, strong speckle disturbance and severe phase gradient change, achieves high precision, high robustness and rapid unwrapping of OCE phase signals, adapts to complex tissue deformation and large-view-field rapid reconstruction requirements, and can be widely applied to the fields of clinical diagnosis, biomedical research and the like.

The application discloses a brain glioma resection device based on machine vision guidance, which comprises an imaging module, a processing module, a decision module and a resection execution module. The imaging module comprises an optical coherence elastography system and an excitation unit, which is used for applying ultrasonic excitation to brain tissue and acquiring elastic response information of the brain tissue under the excitation. The processing module analyzes the elastic response information, constructs the mechanical property distribution of the brain tissue, and identifies the spatial structure boundary between the glioma tissue and the normal brain tissue based on the mechanical property distribution. The decision module generates a resection path and resection parameters according to the structure boundary. The resection execution module resects the target tissue according to the resection path and resection parameters. By combining the tissue mechanical property information acquired by the optical coherence elastography with the resection control, the controllability and consistency of the resection process are improved, and the brain glioma resection can be assisted or automated.

The application discloses a kind of bulk strain field measurement methods for phase contrast optical coherence elastography, which constructs pixel-level displacement tracking principle directly reflecting speckle decorrelation noise level by means of three-dimensional model uncertainty, can solve the problem of speckle decorrelation caused by large displacement without changing the structure of existing Phs-OCE measurement system, and is still effective when there is pixel-level displacement perpendicular to the monitoring plane, improve the dynamic measurement range of Phs-OCE.In addition, the Bayesian deep neural network with three-dimensional U-Net++ structure proposed by the application can be used for subsequent strain calculation, significantly reducing the time required from differential wrapped phase to strain.At the same time, the Bayesian deep neural network with three-dimensional U-Net++ structure has certain robustness, and the dependence on the effect of phase reconstruction in strain calculation is relatively small, thereby improving the practicability of bulk strain field measurement.

This invention discloses an optical dual-modal imaging device for detecting the boundary of thalamic gliomas, belonging to the field of optical imaging. The device includes an optical coherence elastography (OCE) subsystem and a hyperspectral imaging (HSI) subsystem. The OCE subsystem acquires the mechanical properties and three-dimensional tomographic structural information of the tissue; the HSI subsystem determines the location of the thalamic glioma over a large area and acquires biochemical information. The two subsystems are coupled optically via a dichroic mirror and share a scanning galvanometer and scanning lens to ensure spatial matching of the detection area. A temporal collaborative scanning mode is employed, where the HSI subsystem first performs a large-scale scan to locate the abnormal area, and then the OCE subsystem performs precise elastic and structural imaging of that area. This invention overcomes the limitations of single imaging technologies through dual-modal functional complementarity, achieving high-resolution and accurate detection and imaging of the infiltration boundary of thalamic gliomas.

The invention discloses a body block rapid measurement system and method oriented to phase contrast optical coherence elastography. The method comprises the following steps: acquiring interference signals before and after deformation of a body block; performing field-of-view matching on the two industrial cameras; according to the matched same view field area, data clipping is carried out on the collected interference signals, and analysis signals of interference data before and after deformation are constructed; carrying out compressed sensing and reconstruction on the constructed analysis signal; fourier transform is carried out on the reconstructed signals, argument main values of the reconstructed signals are calculated, wrapped phase fields before and after deformation are obtained, and finally differential wrapped phases are calculated. According to the method, the analytic signal is constructed, the characteristic that the analytic signal is a unilateral spectrum after Fourier transform is utilized, and the advantage that the reconstruction precision of the compressed sensing for the signal with better sparsity is higher is combined, so that the sampling data volume is reduced, the deformation measurement speed of the body block is greatly improved, and meanwhile, the reconstruction precision of the signal can be improved when the height is under-sampled; and the obtained differential wrapped phase is clearer.

The invention discloses a brain glioma detection device for mechanical arm assisted light sheet optical coherence elastography, which is characterized in that a millimeter-level air coupling ultrasonic excitation probe and a virtual scanning light sheet probe are jointly integrated to a mechanical arm, and non-destructive and non-contact excitation is performed on brain glioma tissues by utilizing air coupling ultrasound; the scanning light sheet is used for detecting and collecting three-dimensional structure and elasticity modulus information of brain glioma tissues; an integrated mechanical arm is used for clamping an X-ray plate scanning probe to carry out large-range elastic imaging scanning on a suspicious focus area of brain tissue, and mechanical scanning positioning and self-adaptive registration of a three-dimensional structure of the brain tissue are achieved through programming according to irregular morphology characteristics of the brain tissue; according to the system device, use of a coupling agent is avoided, nondestructive, non-contact, high-spatial-resolution and large-view-field-range self-adaptive elastic imaging of the brain glioma boundary is achieved, a doctor can be assisted in tumor excision in an operation, and it is guaranteed that normal brain tissue is not damaged while tumor excision is conducted in the maximum range.

A method for constructing a personalized human eye model. This includes the following steps: (1) simplifying the structural parameters of the human eye to establish a personalized three-dimensional full-eye geometric model; (2) determining the viscoelastic material parameters of the human cornea; (3) using fluid-structure interaction to simulate the actual boundary conditions of the human eye, analyzing the changes in the actual state of the human eye, selecting appropriate element types, discretizing the model into a finite number of aggregates, completing the construction of the finite element human eye model, and solving the model using finite elements; (4) simulating optical coherence elastography of the anterior segment tissues such as the cornea. Considering the individual differences in the geometric morphology and tissue material parameters of the human eye, based on clinical ophthalmological diagnostic data, a personalized full-eye model containing complete geometric morphological information of the human eye was established in finite element software using an elastography method, providing theoretical guidance and technical support for ocular tissue optical coherence elastography equipment.

The invention discloses a self-adaptive accumulated strain method for optical coherence elastography. The method comprises the following steps: constructing and training a strain estimation network based on uncertainty learning by using a deep learning framework; building an optical coherence tomography system; a series of interference spectrums # imgabs0 # subscripts s = 1, 2,... in the deformation process of the tested sample are continuously collected through the established optical coherence tomography system, S represents the number of frames, and m and j represent horizontal coordinates and depth coordinates respectively; a corresponding wrapped phase field is obtained based on a series of collected interference spectrums # imgabs1 # in the deformation process of a tested sample, the obtained corresponding wrapped phase field is input into the trained strain estimation network based on uncertainty learning, and the accumulated strain E is finally obtained by continuously accumulating the strain of each time. According to the method, any parameter selection except a preset threshold is not needed, and the strain change can be more sensitively captured, so that the inter-frame interval is adaptively adjusted according to the change, and the accumulated strain quality is improved.

The application relates to a portable probe-based optical coherence elastography system and method, which comprises an OCT imaging unit and an excitation device; the OCT imaging unit comprises a light source, an optical fiber, a coupler, a circulator, a balanced detector, a computer and a data acquisition card; the excitation device comprises a function generator, a signal amplifier and a probe; light emitted by the light source is divided into two paths by the first coupler according to a 90 / 10 ratio, wherein 10% of the light in one path is irradiated on a reference mirror through the first circulator; 90% of the light in the other path is irradiated on the surface of a measured object through a ball lens optical fiber in the second circulator and the probe; the signal light returned from the measured object and the reference light returned from the reference mirror are combined and interfered according to a 90 / 10 ratio in the second coupler; the interference signal is collected by the balanced detector and transmitted to the acquisition card of the computer; the waveform output by the function generator is adjusted by the signal amplifier and transmitted to the probe, and the probe is driven by the piezoelectric ceramic to excite the measured object.

The invention discloses an endoscopic optical coherence elastic image motion artifact suppression method. The method comprises the following steps: acquiring an intensity image and a phase difference image corresponding to a target OCT spectral signal; for the intensity image, correcting a morphological distortion based on a frequency of motion disturbance; for the phase difference image, detecting the moment when the excitation causes deformation in the imaging object, subtracting the displacement caused by the motion in the detected displacement, and keeping the displacement caused by the excitation to correct the deformation amount deviation; and reconstructing an optical coherence elastography image according to the form distortion correction result and the deformation quantity deviation correction result. According to the method, the elastic value deviation in the endoscopic optical coherence elastography image caused by physiological movement and the form distortion of the imaging object can be corrected at the same time, so that interference factors such as movement artifacts and the like are effectively inhibited.

The present invention discloses a dynamic range extension method for phase-contrast optical coherence elastography. By leveraging the uncertainty of a network model in an uncertainty learning framework, a pixel-level displacement tracking method that can directly reflect the level of phase decorrelation noise is constructed. This method can solve the phase decorrelation problem caused by excessive deformation without changing the structure of the existing PC-OCE measurement system, thereby extending the dynamic range of PC-OCE.

The invention discloses a bimodal non-contact elasticity detection device based on Brillouin and air-blowing sweep-frequency optical coherence elastography, and relates to the technical field of imaging devices. The Brillouin-sweep-frequency optical coherence elastography common-path scanning unit focuses a Brillouin scattering signal to the surface of a biological tissue sample and focuses a sweep-frequency light beam into the biological tissue sample; the Brillouin scattering elastic imaging system collects backward Brillouin scattering light and carries out frequency discrimination processing so as to determine the longitudinal elastic modulus of the biological tissue sample; the air-blowing non-contact excitation unit is used for applying non-contact air pressure excitation to the surface of the biological tissue sample so as to generate shear wave propagation; the sweep-frequency optical coherence tomography unit is used for acquiring a backscattered light signal and carrying out interference so as to obtain phase change information caused by shear wave propagation in the biological tissue sample; and the time schedule controller is used for performing synchronous control. According to the invention, in-situ synchronous acquisition of bimodal elastic information can be realized, and the measurement consistency and reliability are improved.

The invention relates to the technology of medical instruments, in particular to a coaxial common-optical-path optical coherence elastography probe which is used for solving the problem that an existing probe is too large and not suitable for intravascular examination. According to the scheme, the transparent transducer and the lens are coaxially arranged, so that the sound beam and the light beam are coaxial, the probe structure is more compact, and the size of the probe is smaller; the transmitting surface of the transparent transducer is plated with an optical film, and the optical film enables the transmitting surface of the transparent transducer to serve as a reference surface for optical coherence elastography, so that a reference arm and a sample arm can share a part of light path under the condition that the reference arm is not additionally arranged; the problem of phase disturbance caused by system phase noise and piezoelectric material deformation when the transparent transducer works can be solved, and the phase stability is improved.

The present invention discloses a multimodal elasticity detection device based on Brillouin-optical coherence-speckle, comprising a Brillouin-optical coherence elasticity imaging common-path scanning unit, a Brillouin scattering elasticity imaging system, an optical coherence elasticity imaging system, a speckle elasticity imaging system, and a timing controller. The Brillouin scattering elasticity imaging system and the optical coherence elasticity imaging system use the Brillouin-optical coherence elasticity imaging common-path scanning unit. The present invention utilizes the advantages of Brillouin scattering elasticity imaging in detecting bulk elastic modulus with high precision, optical coherence elasticity imaging in rapidly obtaining the elasticity distribution of the entire sample for three-dimensional elastic mapping, and speckle elasticity imaging in wide-field elasticity detection, to synchronously image the elasticity distribution of diseased tissue in situ, thereby providing a scientific basis and technical support for the early diagnosis of clinical diseases.