18 results about "Image Series" patented technology

Image series transformation for optimal compressibility is performed with neural upsampling and error resilience. A novel correlation network composed of convolutional layers for feature extraction that extract multi-dimensional features from the image and a channel-wise transformer with attention to capture complex inter-channel dependencies. An angle optimizer enhances compressibility of an image and an error resilience subsystem improves robustness against transmission errors and data loss. The error resilience subsystem applies forward error correction coding, data partitioning based on importance, and embeds error concealment hints. This hybrid approach addresses both local and global features, mitigates compression artifacts, improves image quality, and enhances data integrity during transmission. The correlation network incorporates error correction and concealment techniques during decoding. The model's outputs enable effective image reconstruction, achieving advanced compression while preserving information for accurate analysis.

A system and method for achieving more accurate results when applying an image processing task to a series of medical images of a patient, without significantly increasing processing resource. The proposed system and method is based on receiving a plurality of image sequences of a particular anatomical region, each capturing cyclical movement of an anatomical object. Each image sequence is supplied to a classifier module which employs use of one or more machine learning algorithms to derive at least one score for each image sequence indicative of predicted success or quality of a result of the image processing task if applied to the given image series. This permits an assessment to be made in advance of which of the plurality of image series is most likely to result in the best (e.g. highest quality, or greatest amount of information) results from the image processing task. This allows maximization of the quality of image processing results, without the need to actually process each of the image series with the image processing task, which would consume a large amount of processing resource and consume time.

The invention provides an intelligent diagnosis device and method for internal defects of concrete. The intelligent diagnosis device comprises an electromagnetic exciter, an accelerometer, a multi-sensor array, a synchronous trigger circuit and a data processing unit, the electromagnetic exciter drives the firing pin with the specific mass, so that the impact energy and frequency are adjustable, the electromagnetic exciter adapts to different concrete strengths and thicknesses, and transient impact on the surface of the concrete is achieved. The accelerometer is used for directly measuring stress wave signals generated and returned by impact; the multi-sensor array comprises an acoustic sensor, a thermal infrared imager, a positioning and distance measuring module and a control and data acquisition unit, and the thermal infrared imager records the full-field temperature change of an impact point and a surrounding area to form a thermal image series; the control and data acquisition unit is internally provided with an embedded system and is responsible for controlling triggering of the electromagnetic exciter and synchronously receiving data of the accelerometer and the thermal infrared imager; and the data processing unit converts the acoustic signal into an acoustic time-frequency graph and converts the thermal image sequence into a time sequence thermal characteristic graph.

A method for water-fat separated magnetic resonance imaging (MRI) is provided herein. The method includes acquiring multi-echo MRI data from a subject using an echo planar time-resolved imaging (EPTI) pulse sequence, wherein echo spacing creates in-phase and out-of-phase relationships between water and fat signals. The method includes separating acquired data into odd echoes corresponding to in-phase data and even echoes corresponding to out-of-phase data, independently reconstructing the separated echoes to generate in-phase and out-of-phase images using subspace reconstruction, and generating separate water-only and fat-only multi-echo image series by performing water-fat separation using the in-phase images and the out-of-phase images.

Systems, methods, and apparatuses implementing a display optimization system are provided herein. In some embodiments, an example display optimization system may be configured to perform an optimal anchor-prior matching operation to identify optimal anchor-prior image pairs or series pairs from new medical imaging data (e.g., one or more anchor image series) and historical medical imaging data (e.g., one or more prior image series).

A method for the non-invasive determination of physical data from a living organism using an EIT measuring device for measuring a measure of blood flow through at least one organ within the organism is described, comprising the following method steps: a) Creating an EIT image series comprising a multitude of EIT images generated sequentially by means of the EIT measuring device attached to an extracorporeal area of ​​the organism, each consisting of image pixels, each of which is assigned a signal value corresponding to an electrical impedance, b) Selecting organ-specific EIT image sections from all EIT images that are identical in position, c) Determining a regional impedance curve based on all selected EIT image sections, d) Determining times at which the regional impedance curve has a local minimum, e) Selecting those EIT images from all generated EIT images that can each be assigned to one of the specific time points, f) Determine a reference image for each of the selected EIT images, g) Subtracting the reference image determined for each selected EIT image from it to obtain a difference image, or instead of the procedure steps e) to g), the following procedure steps e') to g'). e') Selecting those selected EIT image sections from all selected EIT image sections that can each be assigned to one of the specified time points, f') Determine a reference image for each of the selected EIT image sections, g') Subtracting the reference image determined for a selected EIT image section from it to obtain a difference image in each case, h) Selecting at least one difference image to obtain an EIT result image or averaging at least two difference images to obtain an EIT result image and i) Correlating the signal value assigned to each pixel of the result image with a measure of blood flow through at least one organ within the organism.

Systems, methods, and apparatuses implementing a display optimization system are provided herein. In some embodiments, an example display optimization system may be configured to perform an optimal anchor-prior matching operation to identify optimal anchor-prior image pairs or series pairs from new medical imaging data (e.g., one or more anchor image series) and historical medical imaging data (e.g., one or more prior image series).

A system for MRI is provided. The system may obtain a plurality of sets of under-sampled k-space data corresponding to a plurality of frames. Each set of under-sampled k-space data may be acquired simultaneously from a plurality of slice locations of a subject in one of the frames using an MRI scanner. The system may reconstruct a plurality of reference slice images based on the sets of under-sampled k-space data of the plurality of frames. Each of the reference slice images may be representative of one of the slice locations in more than one frame of the frames. The system may further reconstruct a plurality of image series based on the sets of under-sampled k-space data and the reference slice images. Each image series may correspond to one of the slice locations and include a plurality of slice images of the corresponding slice location in the plurality of frames.

The present invention discloses an image registration method and device, which relates to the field of image processing technology. The method includes: converting multiple spatial domain images in an image series into corresponding first frequency domain amplitude maps through Fourier transform; superimposing each first frequency domain amplitude image to construct a frequency domain amplitude sum map; correcting each spatial domain image in the image series based on a set drift curve; superimposing each corrected spatial domain image to construct a spatial domain sum map; converting the spatial domain sum map into a second frequency domain amplitude map through Fourier transform; comparing the frequency domain amplitude sum map and the second frequency domain amplitude map; and using the adjusted drift curve as the set drift curve to output a target drift curve; and performing image registration processing on the image series using the target drift curve. This solution can effectively improve the efficiency of image registration and reduce the consumption of computing resources for image registration.

The invention relates to multi-frame consistency for automated magnetic resonance imaging prescriptions. A computer-implemented method for performing a scan of a subject with a medical imaging system includes acquiring, via a processing system including one or more processors, a series of images of a region of interest of the subject with the medical imaging system. The computer-implemented method also includes automatically identifying, via the processing system, one or more anatomical features in the region of interest in the series of images. The computer-implemented method also includes automatically refining, via the processing system, the one or more anatomical features for generating a prescription for subsequent scans of the region of interest with the medical imaging system. The refinement of the one or more anatomical features is based on positional consistency of the identified one or more anatomical features.

The application discloses a pointer intelligent iterative positioning method and system combined with a multi-modal large language model, relates to the technical field of pointer positioning, and comprises the following steps: performing semantic analysis on a natural language instruction of a user to obtain a task structure body; collecting a screen image and historical execution information to obtain a screen image series and a track abstract series; extracting interface layout features and performing interface coherence discrimination; if the coherence discrimination result is coherent, performing alignment discrimination and pointer movement instruction generation based on a multi-modal large language model; and executing the pointer movement instruction and iteratively collecting the screen image to update the pointer position. The technical problems of the prior art, such as limited semantic understanding ability of complex natural language instructions, easy deviation of pointer positioning under a dynamic interface and lack of an effective interface coherence discrimination mechanism, are solved.

At least some example embodiments of methods and systems for generating display data of a medical image data set include identifying, for a target medical image series of a patient at a first point in time, a reference medical image series of the patient taken at a second point in time different from the first point in time. In particular, the selection may be based on a comparison of respectively depicted body regions of the patient. Further, methods and systems may be directed to generating display data to cause a display device to display a rendering of the reference medical image series based on a registration between the target medical image series and the reference medical image series.

The invention discloses a typhoon cloud picture sequence super-resolution reconstruction method based on fluid dynamic constraints, and belongs to the field of image super-resolution reconstruction. The method comprises the following steps: acquiring an original typhoon cloud picture sequence of a satellite observation area, and preprocessing the typhoon cloud picture sequence to obtain a low-resolution image sequence; building a super-resolution reconstruction network model based on fluid dynamic constraints, and training and optimizing the super-resolution reconstruction network model through the training set; and inputting the low-resolution image sequence in the verification set into the trained super-resolution reconstruction network model to obtain a reconstructed high-resolution image. The method can effectively maintain the structural continuity and dynamic continuity of the typhoon cloud atlas, is suitable for the generation and analysis of a high-precision cloud atlas sequence in the fields of weather forecast, satellite remote sensing and the like, and has relatively high practical value and popularization prospect.

A method for calculating three-dimensional surface profiles by interference, characterized in that it comprises the following steps: S1. Calibration of an interferometer using a standard mirror to determine a peak space displacement Δl of the interferometer; S2. Use of the interferometer to acquire a temporal interference image series for each pixel measurement point P(x) i , y j ) on an object to be measured, wherein the temporal interference image series consists of N interference images with interference fringes; S3. Obtaining a zero-level partial envelope and a potential zero-level partial envelope of the temporal interference image series; S4. Use of the zero-level partial envelope curve to determine a zero-level extremum point Z0(x) i , y j ) of the zero-level partial envelope curve; S5. Calculation of an altitude position Z d (x i, y j ) of the object to be measured based on the zero-level extremum point Z0(x i , y j ): Z d ( xi , yj ) = Δ l ( xi , yj ) + Z 0 ( xi , yj )

The present invention provides a method for classifying white blood cells (WBCs), the method comprising the steps of: —providing a sample comprising a plurality of WBCs; —adding at least one luminescent dye to the sample, thereby staining the WBCs; —disposing the stained WBCs on a test surface; —recording a luminescence image series comprising luminescence images of the stained WBCs on the test surface at a plurality of different timepoints, wherein each luminescence image comprises at least a first color channel and a second color channel; —for each WBC of the plurality of WBCs, obtaining a luminescence data series by extracting from each luminescence image a luminescence datapoint associated with said WBC, wherein each luminescence datapoint comprises at least a first luminescence emission intensity value in the first color channel and a second luminescence emission intensity value in the second color channel; and—analyzing the luminescence data series of each WBC in order to classify the WBC into one of at least two predetermined categories. The invention further provides an apparatus for classifying WBCs.

Imaging method for measuring sunlight-induced chlorophyll fluorescence radiation (CF) of a measurement object (30) in which the measurement object is irradiated with sunlight (40) and light (41) reflected from the measurement object, after being filtered to filtered light (42) by means of an interference filter (15) which can be tilted relative to an optical axis, is recorded to form an image (20) by an image sensor (11) having several light-sensitive sensor elements (12) and is provided by the image sensor to a computing and control unit (16), wherein by means of the computing and control unit a series of images (21) is created from several recorded images of the measurement object, which are recorded at different tilt angles (δ, ε) of the interference filter in order to determine, by means of the different tilt angles for each image, an effective transmission wavelength (λ') of the interference filter, which is related to the individual sensor elements, at which it has maximum transmission.to change for a part of the sensor elements within the image series, whereby by means of the computing and control unit for this part of the sensor elements the sunlight-induced chlorophyll fluorescence radiation detected by each sensor element is based on intensity values ​​recorded by the respective sensor element in each image of the image series (I, P , P x,y ) of the filtered light (42); furthermore, a device (10) for measuring sunlight-induced chlorophyll fluorescence radiation of a measurement object.

The present invention relates to a method, system, and computer program element for monitoring the progress of an X-ray image series, the method comprising the steps of receiving an X-ray image series captured from a patient by an X-ray system, selecting a region of interest (ROI) from at least one image of the X-ray image series, dividing the selected ROI in each image of a plurality of X-ray images into spatial patches using a processing unit, determining respiratory cycles and cardiac cycles from the patches using the processing unit, removing respiratory cycles and cardiac cycles from the patches using the processing unit, comparing the ROI patches with reference patches, determining deviating patches that deviate from the reference patches, generating a visualization map superimposed on an image of the X-ray image series, and displaying the visualization map to a user on an interface.

A method of generating color change maps from longitudinal medical imaging data includes pre-processing the longitudinal medical imaging data to create an image series of spatially, temporally, and radiometrically comparable images. The pre-processing including space-time calibration and denoising. The method further includes selecting an image feature relevant to a change of interest, defining an output space dependent on the image feature, and generating a color change map.