6 results about "Image Series" patented technology

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.

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.

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 )