20 results about "Multiplanar reconstruction" patented technology

1. Name of the product in this design: Graphical User Interface for Medical Imaging MPR Browsing in Electronic Devices. 2. Purpose of this design: This design is used for running programs and displaying information. 3. The key design features of this product are the graphical user interface displayed on the screen of the electronic device. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Other views have no design points, so rear view, left view, right view, top view, bottom view, and perspective view are omitted. 6. Design 1 is designated as the basic design. 7. Uses of the graphical user interface: for browsing MPR (multiplanar reconstruction) images of medical images, including two-dimensional images of the Axial, Coronal, and Sagittal planes, as well as three-dimensional images rendered in volume. 8. Human-computer interaction method of graphical user interface: Interact with the graphical user interface by clicking with the mouse to load the subsequent graphical user interface. 9. Description of the changing states of the graphical user interface: Design 1: Double-clicking the Axial image window in the main view of Design 1 displays the interface state change diagram 1; similarly, double-clicking the Coronal and Sagittal image windows will also display the corresponding interface state change diagrams; Design 2: Clicking the word "Coronal" in the Coronal image window in the main view of Design 2 will bring up a drop-down box, displaying the interface state change diagram 1; similarly, clicking the words "Axial" or "Sagittal" in the Axial or Sagittal image windows in the main view will also bring up a drop-down box; Design 3: Unchecking the corner mark in the main view of Design 3 will display the interface state change diagram 1; Design 4: Checking the zoom ruler in the main view of Design 4 will display the interface state change diagram 1; Design 5: Clicking the modify window width / window level tool (pen icon) in the main view of Design 5 will display the interface state change diagram 1. 10. Other situations requiring explanation: The specific image content and marking results in the interface vary depending on the image object and are not protected by this design.

An ultrasound imaging system includes a processor circuit in communication with an ultrasound transducer, the processor circuit configured to receive three-dimensional ultrasound data of an anatomical structure and generate a target image corresponding to a target image plane of the anatomical structure and a plurality of adjacent images corresponding to image planes adjacent to the target image plane along a simulated motion path. The processor circuit is further configured to display the target image, receive a user input indicative of a direction of motion along the simulated motion path, and display an adjacent image of the plurality of adjacent images corresponding to the direction of motion. Thus, a user can view the target image in its spatial context by scanning through the target image and one or more adjacent images on a display as if the ultrasound transducer were scanning along the simulated motion path.

The invention provides a medical image-based computer-aided diagnosis method, system and device, a computer storage medium and a computer program product. The method comprises the following steps: acquiring original DICOM data obtained based on a tomography technology; constructing three-dimensional volume data based on the original DICOM data; performing multi-plane reconstruction based on the three-dimensional volume data to generate an MPR image queue; inputting the MPR image queue into a deep learning model to obtain a multi-scale feature map corresponding to each MPR image in the MPR image queue; using a multi-plane interaction module to carry out cross-plane association fusion on the multi-scale feature map to obtain a multi-plane fused feature map; and performing global pooling and full-connection coding on the multi-plane fused feature map by using a feature fusion and coding module, and outputting a one-dimensional diagnosis vector for auxiliary diagnosis. By adopting the scheme, the original medical image data can be efficiently converted into the diagnosis vector, and automatic computer-aided diagnosis is realized.

1. The name of the design product: the graphical user interface of oral and maxillofacial radiographic image observation and analysis of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface. 4. The picture or photo that best shows the design points: design 3 front view. 5. Design 3 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface for running software programs and completing the operation of the oral corresponding position radiographic software reading system. 7. The human-computer interaction mode of the graphical user interface: design 1 front view shows the MPR function, MPR is a multi-planar reconstruction processing mode attached after CT examination, in order to observe the lesion, display the lesion, and serve for clinical diagnosis; design 2 front view shows the section function, which is an image reconstruction post-processing mode attached after CT examination, in order to observe the lesion, display the lesion, and serve for clinical diagnosis; design 3 front view shows the TMJ function, which displays the image reconstruction picture of the temporomandibular joint after CT scanning, in order to observe the lesion, display the lesion, and serve for clinical diagnosis. Design 4 front view shows the CEPH function, which is the image reconstruction picture of the lateral cephalogram in oral medicine, which helps doctors observe the relationship between the patient's craniofacial skeleton, teeth and soft tissue through X-ray imaging, and provides basis for developing correction scheme or surgical plan.

The invention discloses a knee joint scanning processing method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a horizontal axis three-dimensional image of a knee joint, carrying out the multi-plane reconstruction image processing of the horizontal axis three-dimensional image, and generating a multi-plane reconstruction image; inputting the multi-plane reconstruction image into a preset anatomical key point detection network for anatomical key point identification to obtain an anatomical key point set, and constructing a local vector space based on the anatomical key point set, according to a preset magnetic resonance knee joint scanning constraint rule, target scanning positioning parameters corresponding to a plurality of target scanning directions are matched in the local vector space, and the target scanning positioning parameters at least comprise a phase coding direction, a frequency coding direction, a slice selection direction and a slice center position; and controlling the magnetic resonance equipment to execute knee joint scanning based on the target scanning positioning parameter. Therefore, knee joint scanning parameter planning can be automatically completed.

The invention relates to the technical field of medical image processing, in particular to a space segmentation radiotherapy sub-target region multi-model automatic sketching method and system. According to the method, various geometric model libraries such as hexagonal closest packing, face-centered cubes, body-centered cubes and simple cubes are built in, a unified space screening processing framework is constructed, and the optimal space segmentation mode can be flexibly selected; according to the method, full-process automation from medical data loading and analysis, target region three-dimensional model reconstruction, candidate dot matrix generation and screening, contour calculation optimization and DICOM file synthesis is realized, and the labor cost and the time cost can be greatly reduced; according to the method, geometric calculation is directly executed in a pixel coordinate system, and a smooth and closed contour is generated by combining high-density sampling, so that the continuity and consistency of the sub-target regions in a multi-plane reconstruction view can be ensured, the problems of dimensional deviation and irregular spatial distribution caused by manual operation are avoided, and the method is suitable for large-scale popularization and application. And standardization of size consistency and spatial regularity of the sub-target regions is realized.

A medical image viewer can render to a display a three-dimensional view of a patient's anatomy, a multi-planar reconstruction (MPR) view of the patient's anatomy, and an intraoperative view. Some of these views can be synchronized to show a common focal point of the anatomy. Other embodiments are described and claimed.

This invention provides a system and method for the automatic alignment and co-orientation of a 3D anatomical model adjacent to one or more 2D MPR views of a 3D echocardiographic image dataset. The 3D model is presented in alignment with the displayed 3D and 2D images to provide an indication of the orientation of each of the 3D volumetric and 2D planar views relative to the 3D model and relative to each other. The 3D model may include labels or information about anatomical features of interest to enable the user to easily visualize the arrangement of anatomical features in the 2D planar views relative to the 3D model. When interacting with either the 2D view or the 3D model, both the 2D view and the 3D anatomical model simultaneously change orientation, wherein the representation of the 2D planes in the 3D model corresponds to movement of the 2D image.

Methods and systems are disclosed to perform automated multiplanar reformation (MPR) on an image volume generated by an imaging system, based on position and orientation data received from sensors positioned in interventional tools or devices used in the procedure, such as a probe and / or a delivery catheter. A desired plane for performing the MPR may be automatically configured based on the sensors. The sensors may be advantageously used to automatically select a view plane that includes the catheter tip and / or target anatomies of the patient and / or maintain the catheter tip and / or target anatomies in view more rapidly and efficiently than may be accomplished using manual MPR.

The application discloses a skull anatomical structure database establishment method, characterized in that the database establishment comprises the following steps: step one, reconstructing and printing normal human and case skull models; step two, reconstructing brain tissue, calculating corresponding brain volume, recording classification matching and archiving; step three, performing three-dimensional multi-planar reconstruction and surface reconstruction based on a bone threshold range on a case skull to-be-cut replacement or bone defect part; and step four, constituting a complete database containing normal human and case two types of skull anatomical structures. The skull anatomical structure database establishment method respectively establishes directories for storage classification, performs processing identification and matching of different samples, is convenient for artificial intelligence learning, performs three-dimensional multi-planar reconstruction and surface reconstruction, can cooperate with a convolutional neural network algorithm of artificial intelligence, extracts a patient part with the largest characteristic attribute to facilitate design of a subsequent convolutional layer and deep calculation, and makes recognition efficiency and effect better.

A method for performing flow analysis in a target volume of a moving organ having a long axis, such as the heart, from 4D MR Flow volumetric image data set of such organ, wherein such data set comprises structural information and three-directional velocity information of the target volume over time, the devices, program products and methods comprising, under control of one or more computer systems configured with specific executable instructions: a) deriving from the 4D MR Flow volumetric image data set at least one derived image data set related to the long axis of the moving organ, for example, by using a multi planar reconstruction: b) determining at least one feature of interest in the 4D MR Flow volumetric image data set or in said derived image data set. The feature of interest may be determined, for example, by receiving input from a user or by performing automatic detection steps on the 4D MR Flow volumetric image data set; c) tracking the feature of interest within the 4D MR Flow volumetric image data set or in the derived image data set; d) determining the spatial orientation over time of a plane containing the feature of interest in the 4D MR Flow volumetric image data set; c) performing quantitative flow analysis using velocity information on the plane as determined in step d). A corresponding device and computer program are also disclosed.

A magnetic resonance imaging support method according to an embodiment includes an acquisition step, a multi-planar reconstruction step, a first determination step, and a second determination step. The acquisition step acquires, by performing a scout scan on a subject, a plurality of first slice images corresponding to different slice positions, the plurality of first slice images corresponding to either sagittal planes or coronal planes. The multi-planar reconstruction step generates a second slice image corresponding to the axial plane by performing multi-planar reconstruction based on the plurality of first slice images. The first determination step determines a position corresponding to a specific part of the subject based on the second slice image. The second determination step determines a range to be scanned in a main scan based on the plurality of first slice images at the position determined by the first determination step.

The application discloses a kind of TAVI postoperative automatic analysis and visualization system based on medical image, including data import, automatic analysis, valve leaflet function evaluation, valve stent geometry evaluation, interactive alignment and report generation module.System imports time series medical image data covering at least one cardiac cycle, segments aorta, coronary artery, left ventricle, valve stent and calcified structure, extracts stent central axis and establishes stent local coordinate system, generates transverse, longitudinal, bottom, coronary artery opening and walsh sinus reconstruction plane.Based on multi-plane reconstruction display, the system evaluates HALT, SFD and PFD, and calculates perimeter, area, long-short diameter, AED and PED and other parameters at stent inflow end, valve leaflet nadir and commissure height plane.Interactive alignment module maps valve structure to standard observation plane and superimposes simulated valve model, and report generation module integrates results to output structured report.

A magnetic resonance imaging assistance method includes: an acquisition step of acquiring a plurality of first slice images corresponding to different slice positions and one of a sagittal plane and a coronal plane by performing a positioning scan on a subject; a multi-plane reconstruction step of generating a second slice image corresponding to the axial plane through multi-plane reconstruction based on the plurality of first slice images; a first determination step in which a position corresponding to a specific site of the subject is determined on the basis of the second slice image; a second determination step for determining a range in which scanning is performed during a main scan on the basis of the plurality of first slice images at the positions determined by the first determination step; and a main scanning step in which scanning of the range determined by the second determination step is performed on the subject.

The disclosure relates to multiplanar reformation of three-dimensional medical images. In particular, the invention provides a method for reformatting image sequences by determining a landmark plane intersecting a volume, acquiring an image sequence, reformatting the image sequence along the landmark plane to produce a first reformatted image sequence, perturbing the landmark plane to produce a perturbed landmark plane, reformatting the first reformatted image sequence along the perturbed landmark plane to produce a second reformatted image sequence, mapping the second reformatted image sequence, the image sequence, and the landmark plane, to a resolution enhanced image sequence using a trained image enhancement network, and displaying the resolution enhanced image sequence via a display device. The present disclosure provides approaches which may reduce image artifacts in retrospectively reformatted image sequences, particularly in cases of retrospective reformatting of medium or low-resolution image sequences, without relying on acquisition of high-resolution 3D images.

The present application relates to a kind of patellofemoral joint active movement continuous dynamic imaging method and system, belong to image processing technical field, solve the problem that existing imaging plane cannot be moved in real time with patellofemoral contact surface in prior art.The sagittal three-dimensional body data frame sequence of knee joint region in the process of active flexion and extension movement of subject is collected;The knee flexion angle of each frame of sagittal three-dimensional body data in the sagittal three-dimensional body data frame sequence is calculated;Based on the knee flexion angle, get the physiological continuous sagittal three-dimensional body data frame sequence;For each frame in the physiological continuous sagittal three-dimensional body data frame sequence, determine the anterior-posterior long axis of patella in the frame;Based on the anterior-posterior long axis of patella, the multi-planar reconstruction is carried out to the frame of sagittal three-dimensional body data;Get the dynamic axial image sequence of contact surface alignment.The patellofemoral joint active movement dynamic image display along the maximum contact surface of patellofemoral joint is realized and is displayed continuously.

The system and method provide an automatic aligned and co-oriented display of a 3D anatomical model adjacent to one or more 2D MPR views of a 3D echocardiographic image dataset. The 3D model is presented in alignment with the displayed 3D and 2D images to provide an indication of the orientation of each of the 3D volume and 2D planar views with respect to the 3D model and to one another. The 3D model can include labels or information regarding an anatomical feature(s) of interest to enable the user to readily visualize the disposition of the 2D planar view relative to the anatomical feature(s) in the 3D model. While interacting with the 2D views or 3D model, the 2D views and 3D anatomical model will change orientation simultaneously, with the representation of the 2D plane in the 3D model moving in correspondence with the 2D image.

Disclosed in the present invention is a multi-planar reconstruction (MPR)-based adjustable geometric controller for three-dimensional surgical planning. The adjustable geometric controller comprises a three-dimensional MPR geometric controller. The three-dimensional MPR geometric controller comprises three planes which are perpendicular to each other. Each plane comprises four edges and four vertices for circumscribing a DICOM image; by means of dragging the edges of each plane, the plane is translated along the plane normal vector direction; by means of dragging the vertices, the area size of the plane is changed; and after a rotation axis is selected, the edge perpendicular to the rotation axis of the plane where the rotation axis is located is dragged, thereby synchronously adjusting the plane and the normal vector direction of the orthogonally constrained planes for the plane. The multi-planar reconstruction-based adjustable geometric controller for three-dimensional surgical planning which is disclosed in the present invention aims to optimize operations such as translation and rotation of a 3D object in a three-dimensional space, expand applications of the 3D modeling technology in medical images and surgical planning, and solves the problem about performing accurate positioning and operations by means of mouse interaction in a three-dimensional space.

The present application relates to the technical field of image processing, and particularly relates to an automatic positioning method and device based on head clinical image, which performs coordinate transformation on the head anatomical structure of CVH according to spatial direction mapping relationship and spatial size mapping relationship, and obtains CVH registration head anatomical structure; the CVH registration head anatomical structure and the position mark and organ name of each organ region in the CVH registration head anatomical structure constitute a new CVH anatomical knowledge graph. The patient head clinical image is subjected to multi-planar reconstruction, and the patient head anatomical structure is obtained; there is a real-time mapping relationship between the patient head anatomical structure and the CVH registration head anatomical structure, so that the position mark and organ name of each organ region in the patient head anatomical structure and the CVH registration head anatomical structure have a one-to-one correspondence. The interested region is selected from the anatomical knowledge graph, and the corresponding position of the interested region in the patient head anatomical structure is automatically positioned, so that the recognition difficulty of the patient head clinical image is reduced.

To provide a magnetic resonance imaging support method for supporting generation of a scan plan of an appropriate actual scan.SOLUTION: The method includes an acquisition step, a multiplanar reconstruction step, a first determination step, and a second determination step. In the acquisition step, a plurality of first slice images corresponding to different slice positions and corresponding to one of a sagittal plane and a coronal plane are acquired by performing a scout scan on a subject. In the multi-planar reconstruction step, a second slice image corresponding to an axial plane by multi-planar reconstruction is generated based on the plurality of first slice images. In the first determination step, a position corresponding to a specific site of the subject is determined based on the second slice image. In the second determination step, a range to be scanned in the actual scan is determined based on the plurality of first slice images at the position determined in the first determination step.SELECTED DRAWING: Figure 2