305 results about "Optical coherence tomography" patented technology

Systems and methods for compensating for tilt of an intraocular lens (IOL) and systems and methods for adjusting an IOL are disclosed herein. For example, one of the methods may include capturing one or more optical coherence tomography (OCT) images of a subject's eye while implanting the IOL within the subject's eye. The method may further include generating a fixation target such that the fixation target is visible to an eye of the subject; and moving the fixation target until the lateral plane of the IOL is perpendicular or substantially perpendicular to the optical axis of the ophthalmic system. The method may also include directing a laser beam generated by a laser of the ophthalmic system at the IOL.

The invention discloses a glass-based circuit board defect detection method and system, and relates to the technical field of glass substrate defect detection.The method comprises the steps that an optical coherence tomography system with the fixed scanning resolution of 320 * 320 is used for collecting a tomographic image of a target area, three-dimensional reconstruction is conducted on the tomographic image, and a three-dimensional body data model is obtained; extracting a plurality of three-dimensional morphological characteristics such as defect depth, transverse distribution profile and defect internal refractive index unevenness from the model; and inputting the features into a defect classifier constructed based on a three-dimensional convolutional neural network for identification, and performing spatial position verification in combination with a known design layout to generate a final detection report. According to the method, the standardization of the detection process is realized through the fixed scanning resolution, and the efficiency and the result consistency are improved; by quantifying the refractive index non-uniformity in the defect, the optical property variation type defect in the material is effectively identified, and the detection depth and accuracy are enhanced.

One aspect of the present disclosure relates to an optical coherence tomography apparatus for imaging a patient's eye, more particularly to a sweep-source optical coherence tomography apparatus, the apparatus comprising a light source configured to generate a light beam, the light beam being distributed to a two-dimensional region on the patient's retina, and a camera equipped with a 2-D sensor, the apparatus being configured to bundle a plurality of pixels on the sensor such that each data point includes a composite response from a plurality of bundled pixels.

The invention relates to a three-dimensional fluorescence tomography imaging device, which comprises a shooting part, an image processing part, a plurality of exciting light emitting parts, a tomography light emitting part, a first reflecting mirror, a beam splitter, a second reflecting mirror, a multi-wavelength light source part and a wavelength adjustable light filter, the image processing part calculates the depth corresponding to each fluorescent image according to the depth information in the optical coherence tomography image, and combines each fluorescent image according to the depth to form a three-dimensional fluorescent tomography image of the shooting object corresponding to the first fluorescent developing agent.

This invention discloses an ophthalmic disease diagnostic system based on optical coherence tomography (OCT), comprising: an image data acquisition module for acquiring OCT image data; a feature extraction and similarity calculation module for extracting OCT image feature representations and layered structural features of the macular region, calculating macular structural similarity information between different OCT image data, and constructing a structural similarity alignment matrix reflecting the structural similarity among all OCT images; simultaneously constructing an association matrix representing the correspondence between OCT images and disease categories; and a model training module that introduces the structural similarity alignment matrix and association matrix as joint supervision signals into the objective function, adaptively learning to obtain an ophthalmic disease diagnostic model; the ophthalmic disease diagnostic model outputs a classification diagnostic result representing the probability that the input OCT image data belongs to various ophthalmic diseases. This invention achieves automatic identification and classification of ophthalmic diseases, with high diagnostic accuracy and good robustness.

An analysis processing apparatus includes an acquisition unit, an analyzer, and a display controller. The acquisition unit is configured to acquire two or more pieces of motion contrast data of a cross-section at interscan time intervals different from each other. The two or more pieces of motion contrast data are acquired by repeatedly performing B-scans three or more times on the same cross-section in an object to be measured. The analyzer is configured to perform analysis processing for obtaining a time variation of a motion contrast intensity in the cross-section based on the two or more pieces of motion contrast data. The display controller is configured to cause an image representing the time variation obtained by performing the analysis processing to be displayed on a display means.

The invention relates to a device (1) for performing optical coherence tomography (OCT), comprising: an interferometer (1a) for guiding a light beam (4) into a dispersive object to be examined, which object influences the propagation rate of light (4a, 4b, 4c) depending on the frequency thereof; and an evaluation unit (5) for detecting a length (3) of the object. With respect to the problem of detecting the length of a transilluminated object as reliably as possible by means of a device for performing optical coherence tomography, the device is characterised in that the evaluation unit (5) analyses interferometric data obtained from an OCT signal or interference spectrum and determines dispersion-related data of the interferometric data and determines the length (3) using the dispersion-related data.

Laser welding device (1) for producing a welded joint (S) in the area of ​​a joint between at least two components (2, 3) by means of an emitted laser beam (LS) with - a laser scanner (4), having - at least one laser emitter (4.1) designed to emit laser radiation (L), and - at least one laser optic (4.2) designed to shape, direct and focus the emitted laser radiation (L) to form the laser beam (LS), - a measuring unit (4.3) which is designed, - to emit at least one measuring beam (MS) in such a way that it is guided to a predetermined point of impact on at least one of the components (2, 3), - to detect reflected components of the measuring beam (MS) and - to automatically determine depth data of the point of impact based on optical coherence tomography using measurement beam data (MD1 to MD3) determined from the reflected components, - a control unit (4.4) which is designed, - before welding, the measuring unit (4.3) is controlled so that it automatically scans a surface of the components (2, 3) in a grid-like scan movement using a measuring beam (MS), automatically determines geometric parameters of the components (2, 3) from depth data determined at the respective point of impact from measuring beam data (MD1), and stores the parameters as reference data in a database for different positions of the surface of the components (2, 3). - then, during welding, to control the laser scanner (4) so ​​that it directs the laser beam (LS) onto the surfaces of the components (2, 3) and at least partially melts the components (2, 3), and simultaneously to control the measuring unit (4.3) so that it automatically scans a generated melt (SM) using a measuring beam (MS) in a scanning motion and automatically determines depth data of a vapor capillary (DK) generated in the melt (SM) based on optical coherence tomography for different positions of the melt (SM) from measuring beam data (MD2), and - to compare the position-related depth data of the vapor capillary (DK) with the position-related reference data in a comparison process carried out simultaneously with or following welding, and to determine a position-related comparison depth of the vapor capillary (DK) in comparison to an initial state of the components (2, 3) existing before welding, wherein the measuring unit (4.3) is configured to emit at least one measuring beam (MS) into the at least one laser optic (4.2) in such a way that it is guided together with the laser beam (LS) to its point of impact.

The application discloses a kind of glass-based circuit board defect detection method and system, it is related to glass substrate defect detection technical field, including using the tomogram of target area of optical coherence tomography system with scanning resolution fixed as 320×320 is collected, and it is three-dimensional reconstruction, obtains three-dimensional body data model.Extract defect depth, transverse distribution profile and defect internal refractive index inhomogeneity etc. from model Multiple three-dimensional morphological characteristics.Classifier based on three-dimensional convolutional neural network is identified by inputting characteristics, and spatial position verification is carried out in combination with known design layout, and finally the detection report is generated.The method realizes the standardization of detection process by fixing the scanning resolution, improves the efficiency and result consistency;By quantifying the internal refractive index inhomogeneity of the defect, the material internal optical property variation type defect is effectively identified, and the detection depth and accuracy are enhanced.

A system includes a light source configured to emit treatment light and an optical coherence tomography (OCT) device. The system further includes a surgical instrument including a distal portion configured to be inserted into an eye of a patient. An optical fiber is coupled to the light source and to the OCT device and (a) conducts the treatment light along the distal portion to be emitted from a tip of the distal portion and (b) conducts detection light from the OCT device along the distal portion to be emitted from the tip of the distal portion and conduct a reflected portion of the detection light to the OCT device. A controller obtains image data from the OCT device and operates the light source per the image data, e.g., selects a number of pulses for the treatment light based on a thickness of a trabecular meshwork apparent in the image data.

The invention relates to the technical field of optical engineering, and discloses a multispectral fusion optical coherence tomography imaging method, which adopts a multispectral light source to cooperatively collect OCT signals, fully utilizes the absorption / scattering characteristic difference of different spectrums on different components of a sample, obtains richer sample structure and component information, and improves the imaging accuracy. A data basis is provided for follow-up accurate identification of sample components, synchronism and wavelength accuracy of multispectral signals are ensured through synchronous driving control and accurate spectrum calibration, and information distortion caused by spectrum deviation is avoided; a registration algorithm based on SIFT feature point matching is adopted, high-precision spatial alignment of multispectral OCT images is achieved, the problem of dislocation between different spectral images is solved, the whole imaging process gives consideration to imaging efficiency and imaging quality, the imaging time is shortened through a synchronous collection mode, the method is suitable for dynamic sample imaging, parameter adjustability of all modules is high, and the method is easy to implement. Flexible adjustment can be performed according to different sample characteristics, and the application range of the method is expanded.

The present invention relates to an apparatus for determining the authenticity of an artwork through a crack analysis based on optical coherence tomography, the apparatus for determining the authenticity of an artwork through a crack analysis based on optical coherence tomography, according to one aspect of the present invention, being for obtaining an optical coherence tomography image of a crack, which is generated by performing optical coherence tomography on an area including the crack on the surface of an artwork, extracting a cross-sectional image of a surface intersecting the crack from the optical coherence tomography image, and determining the authenticity of the artwork on the basis of the shape of the crack in the cross-sectional image.

The application discloses an AMD efficacy prediction method, system, device and medium based on feature fusion, belongs to the technical field of efficacy prediction, and comprises the following steps: acquiring optical coherence tomography image data and demographic characteristics of an age-related macular degeneration patient; determining deep learning features and imaging features according to the optical coherence tomography image data; performing feature selection based on the deep learning features, the imaging features and the demographic characteristics to obtain input features; performing calculation by combining a time series analysis network with the input features to determine a hidden state; and performing feature change trend analysis according to the hidden state to determine an age-related macular degeneration efficacy prediction result. The application proposes a multi-feature fusion long short-term memory network, and realizes efficacy prediction of anti-vascular endothelial growth factor treatment for the age-related macular degeneration patient.

Disclosed herein relates to a system deployed within a Cloud-based communication network, the system comprising: a computing device, comprising a processor coupled to a non-transitory computer-readable storage medium and configured to control a plurality of modules to execute instructions of the non-transitory computer-readable storage medium to obtain identifying information of a subject to whom an optical coherence tomography (OCT) device is prescribed, process the identifying information in accordance with one or more programmable threshold values, generate unique pattern data based on the identifying information in response to detect the identifying information exceeding the one or more programmable threshold values, encrypt the unique pattern data, and transmit encrypted unique pattern data to a computing server system.

The disclosure provides, for example, an optical coherence tomography device capable of performing tomographic imaging over a wide area at a time and of performing tomographic imaging of a distant object. The optical coherence tomography device includes an objective lens configured to focus light emitted from a light source onto a sample. The optical coherence tomography device is configured to perform tomographic imaging of the sample based on interference between sample light, which is reflected light from the sample, and reference light, which is reflected light from a reference surface provided between the objective lens and the sample. The sample light and the reference light each are to pass through the objective lens. The light emitted from the light source and passed through the objective lens is to illuminate the sample at a wide angle. The reference surface includes a light scatterer.

This invention discloses a wired dual-modal imaging capsule endoscopy system, belonging to the field of medical device technology. The system includes a capsule module, a transmission and control module, a dual-modal imaging module, and a signal analysis module. The capsule module is used to achieve 360° circumferential scanning imaging of the esophageal mucosa. The transmission and control module ensures stable transmission of optical and electrical signals and precise control of capsule movement. The dual-modal imaging module integrates an optical coherence tomography submodule and a photoacoustic imaging submodule to acquire tissue morphology information and microvascular distribution information, respectively. The signal analysis module processes the dual-modal signals. This invention achieves three-dimensional high-resolution integrated imaging of the esophageal mucosa without the need for exogenous labeling agents, significantly improving the detection accuracy of early esophageal cancer and precancerous lesions.

Methods, systems and computer programs for performing an OCT scan of an anatomical item are disclosed. In one aspect, a first 3D model of an anatomical item is generated in real time and iteratively using a first reconstruction process, and a second 3D model of the anatomical item is generated with a second reconstruction process, which is an offline process that has greater computational complexity than the first reconstruction process. A visualization of the first 3D model is generated so that the user can identify areas that require additional scanning. In a further aspect, a visualization of a 3D model indicates, to a user, regions where subsurface volumes have been insufficiently scanned.

Disclosed herein relates to a system deployed within a Cloud-based communication network, the system comprising: a computing device, comprising a processor coupled to a non-transitory computer-readable storage medium and configured to control a plurality of modules to execute instructions of the non-transitory computer-readable storage medium to obtain identifying information of a subject to whom an optical coherence tomography (OCT) device is prescribed, process the identifying information in accordance with one or more programmable threshold values, generate unique pattern data based on the identifying information in response to detect the identifying information exceeding the one or more programmable threshold values, encrypt the unique pattern data, and transmit encrypted unique pattern data to a computing server system.

A system, method, and / or apparatus for determining a quality metric for OCT structured data and / or OCTA functional data, using a machine learning model trained to provide a single overall quality metric or quality map distribution for the OCT / OCTA data based on the generation of multiple feature maps extracted from one or more slice views of the OCT / OCTA data. The extracted feature maps may be different texture type maps, and the machine model is trained to determine the quality metric based on the texture maps.

Systems and methods for on-the-fly (OTF) welding using optical coherence tomography (OCT) use measurement and compensation techniques to ensure accuracy of OCT measurements. OTF welding may involve a coordinated motion of a process beam by the process beam head while the process beam head is moved relative to the workpiece to perform, for example, linear OTF welding, rotary OTF welding, or infinite FOV welding. The systems and methods described herein may be used to perform OTF welding in different applications including, for example, in EV battery manufacturing applications for welding battery cells and busbars. OCT may be used to monitor the OTF welding process using an OCT measuring beam directed to the workpiece with the process beam.

This invention relates to a method for determining the welding depth during laser welding using an optical coherence tomography (OCT) apparatus, the method comprising the steps of: – pointing a processing laser beam (11) onto a component (10) to create a keyhole (12); – coupling a measuring beam (15) into the beam path of the processing laser beam (11); – performing multiple line scans on the component (10) using the measuring beam (15) in the region of the keyhole (12), and detecting the reflection of the measuring beam (15) from the component (10) using an OCT apparatus. The light emitted is used to generate a superimposed height profile of the component (10) in the region of the keyhole (12); – Based on this height profile, the height of the component surface (10.1), the lateral position of the deepest point (16, 16', 16") of the keyhole (12) on the component (10), and the depth of the deepest point (16) of the keyhole (12) are determined; – Based on the difference between the height of the component surface (10.1) and the depth of the deepest point (16) of the keyhole (12), the keyhole depth (17) is calculated, and the welding depth is determined therefrom.

The invention relates to a control system for controlling optical coherence tomography imaging means for imaging a subject, the control system being configured to perform the following steps of an imaging process: receiving (212) a scan data set from the subject being acquired by means of optical coherence tomography, the scan data set including one or several spectra (270), performing (214) data processing on the spectrum or on each of the several spectra of the scan data set (122), including per spectrum: determining (216) a scaling factor (274) for the spectrum (270, 370, 372, 374), scaling (218) a baseline spectrum (272) with a scaling factor (274), and removing (220) the scaled baseline spectrum (276) from the spectrum (270); and providing (224) a baseline corrected image data set of the subject for an image of the subject to be displayed, to an optical coherence tomography imaging system and to a corresponding method.

An optical coherence tomography apparatus generates a tomographic image of measurement target based on an interference signal generated by synthesizing reflected light of measurement light reflected in the measurement target with reference light. The optical coherence tomography apparatus includes: a first mirror reflecting the reflected light of the measurement light reflected deep in the measurement target to a first direction for synthesis with the reference light and causing the measurement light to scan the measurement target by rotation with a first axis as an axis of rotation; and an image capturer capturing an image of a surface of the measurement target by using object light that is visible light emitted from the surface of the measurement target. The first mirror is fixed in an orientation for reflecting the object light to a direction of the image capturer in a case where the image capturer is in an image capture state.

The invention belongs to the technical field of high-precision morphology measurement, and discloses an automatic refocusing large-measurement-range nano-morphology measurement method, which comprises the following steps of: 1, acquiring a spectral interference signal of a sample by using an OCT (Optical Coherence Tomography) system, and performing one-dimensional inverse Fourier transform on the signal in a wavenumber domain to obtain an airspace complex amplitude signal; step 2, selecting a surface complex amplitude signal according to the maximum signal intensity based on the airspace complex amplitude signal; step 3, calculating average low-frequency intensity based on the surface complex amplitude signal to obtain an actual defocusing distance; 4, performing refocusing calculation based on the surface complex amplitude signal and the actual out-of-focus distance to obtain a refocusing surface signal; and step 5, based on the refocusing surface signal, calculating and outputting a morphology height difference. According to the method, the effective measurement range of OCT nano-morphology detection can be expanded, the morphology detection capability of a non-flat surface is optimized, side lobe artifacts caused by defocusing are inhibited, the method is realized based on numerical calculation, and the system complexity and cost are reduced.

This invention belongs to the field of physical testing, specifically relating to an automated detection system for surface defects on a 3D sensor protective film. The system includes an acoustic-thermal excitation device, a thermal imaging sensing unit, an optical coherence tomography (OCT) scanning device, and a data processing and analysis terminal. The acoustic-thermal excitation device emits a focused ultrasonic beam onto the protective film surface to generate an acoustic-thermal effect; the thermal imaging sensing unit captures the spatiotemporal attenuation characteristics of the surface temperature field and generates a two-dimensional thermal diffusion feature map; the OCT scanning device adaptively acquires a three-dimensional structural cross-sectional image of the protective film based on the hotspot location; the data processing and analysis terminal performs spatial alignment and pixel-level fusion of multimodal data, and uses a deep neural network to identify defects. Through the above technical solution, this invention achieves non-contact, non-destructive, high-precision detection, balancing detection efficiency and accuracy. It can accurately identify deep, minute defects under complex coatings and predict the impact of defects on optical performance.

A method for quantifying retrograde trans-synaptic degeneration (rTSD) in a patient includes receiving optical coherence tomography (OCT) image data associated with a left retina and a right retina of the patient. The method further includes analyzing the OCT image data to determine a thickness of one or more retinal layers of the left retina and one or more retinal layers of the right retina. The method further includes, based at least in part on the determined thicknesses, determining a value of an rTSD index that is indicative of a level of rTSD in the patient. The rTSD index can be based at least in part on the thicknesses of retinal layers connected to a left optic radiation of the patient versus the thicknesses of retinal layers connected to a right optic radiation of the patient.

An interferometric quadrature detection system is disclosed that combines a reference or local oscillator signal with a sample or modulated signal in a fused fiber coupler having at least three outputs to generate phase-shifted signals. The phase-shifted signals are processed using either additional fused fiber couplers with balanced photoreceivers or single-ended photodetectors with subsequent analog subtraction to generate differential signals. The differential signals are used to reconstruct a complex-valued representation of the interferometric signal, enabling unambiguous recovery of amplitude and phase at or near the shot-noise limit. The disclosed methods and apparatus provide fiber-based alternatives to integrated optical hybrids and are applicable in optical coherence tomography, interferometric sensing, coherent optical communication systems and other applications.

A fluid imaging system includes a pipe with at least one fluid therein and a substantially circular circumference including a first half circumference and a second half circumference. Optical heads are distributed along an exterior wall of the first half circumference. A light source is configured to emit a source light. A timing circuit including an optical switch serially activates the optical heads, resulting in one active optical head at a time. A fiber circulator directs the source light to the active optical head and collect reflected light from the pipe and the at least one fluid therein. A detector receives the reflected light from the fiber circulator and generate spectral data. A controller processes the spectral data by a Fourier-transform algorithm to provide cross-sectional analysis of multi-phase fluid flow of the at least one fluid along the pipe.

An apparatus for fundus examination by optical coherence tomography includes a light source, an optical detection unit optically coupled to the light source, and a control unit operatively coupled to the optical detection unit. The optical detection unit comprises an interferometer measurement arm, and the interferometer measurement arm comprises a collimation assembly of an illumination light beam of the retina. The collimation assembly is capable of performing rapid modulation of the focus of the illumination beam in response to a control signal sent by the control unit during an optical scan of the retina.

The invention discloses an optical fiber interferometer, and relates to the technical field of polarization sensitive optical coherence tomography. According to the optical fiber interferometer, through modular structural design and precise parameter limitation, a compact framework formed by sequentially coupling and connecting the polarization unit, the polarization-maintaining coupler, the first polarization light splitting unit and the second polarization light splitting unit is constructed. The input end of the polarization-maintaining coupler is respectively coupled and connected with the input ends of the first polarization-maintaining optical fiber and the first single-mode optical fiber, the output end of the polarization-maintaining coupler is respectively coupled and connected with the input ends of the second polarization-maintaining optical fiber and the third polarization-maintaining optical fiber, and the included angle between the optical axis of the polarization-maintaining coupler and the optical axes of various optical fibers and the light splitting proportion of the polarization-maintaining coupler are strictly limited; the second polarized light and the third polarized light are orthogonal to each other, the fourth polarized light and the fifth polarized light are orthogonal to each other, the physical properties of the second polarized light and the fourth polarized light are consistent, and the physical properties of the third polarized light and the fifth polarized light are consistent.