Intra-perinodular textural transition (ipris): a three dimenisonal (3D) descriptor for nodule diagnosis on lung computed tomography (CT) images

    公开(公告)号:USRE50286E1

    公开(公告)日:2025-01-28

    申请号:US17846168

    申请日:2022-06-22

    Abstract: Embodiments classify lung nodules by accessing a 3D radiological image of a region of tissue, the 3D image including a plurality of voxels and slices, a slice having a thickness; segmenting the nodule represented in the 3D image across contiguous slices, the nodule having a 3D volume and 3D interface, where the 3D interface includes an interface voxel; partitioning the 3D interface into a plurality of nested shells, a nested shell including a plurality of 2D slices, a 2D slice including a boundary pixel; extracting a set of intra-perinodular textural transition (Ipris) features from the 2D slices based on a normal of a boundary pixel of the 2D slices; providing the Ipris features to a machine learning classifier which computes a probability that the nodule is malignant, based, at least in part, on the set of Ipris features; and generating a classification of the nodule based on the probability.

    IMAGE PROCESSING METHOD, APPARATUS AND DEVICE

    公开(公告)号:US20250029255A1

    公开(公告)日:2025-01-23

    申请号:US18717845

    申请日:2022-08-29

    Abstract: The present disclosure provides an image processing method, apparatus and device, the method includes: acquiring a visible light image and a fluorescence image corresponding to a designated location inside a target object, where the designated location inside the target object includes diseased tissue and normal tissue; determining a to-be-cut boundary corresponding to the diseased tissue from a to-be-detected image, where the to-be-detected image is the fluorescence image or a fused image of the visible light image and the fluorescence image; and generating a target image, the target image includes the visible light image and the to-be-cut boundary.

    Scene representation using image processing

    公开(公告)号:US12205297B2

    公开(公告)日:2025-01-21

    申请号:US17407073

    申请日:2021-08-19

    Abstract: Certain examples described herein relate to a system for processing image data. In such examples, the system includes an input interface to receive the image data, which is representative of at least one view of a scene. The system also includes an initialisation engine to generate a first latent representation associated with a first segmentation of at least a first view of the scene, wherein the first segmentation is a semantic segmentation. The initialisation engine is also arranged to generate a second latent representation associated with at least a second view of the scene. The system additionally includes an optimisation engine to jointly optimise the first latent representation and the second latent representation, in a latent space, to obtain an optimised first latent representation and an optimised second latent representation.

    IMAGE PROCESSING SYSTEM AND IMAGE PROCESSING METHOD

    公开(公告)号:US20250005766A1

    公开(公告)日:2025-01-02

    申请号:US18740561

    申请日:2024-06-12

    Inventor: Hidenori ITO

    Abstract: Implementation cost of image processing apparatuses is reduced and silhouette images with which highly accurate three-dimensional shape data can be generated are generated. An image processing system according to the present disclosure includes: a first image processing apparatus configured to generate data of a first silhouette image illustrating a region in which an object exists in a first input image of a region including at least part of a specific region by inputting data of the first input image into a learned model; and a second image processing apparatus configured to output data of a second silhouette image illustrating a region in which the object exists in a second input image by calculating a difference between the second input image and a background image obtained through image capturing by a second image capturing device in a state in which the object does not exist.

    Predicting paraspinal muscle sarcopenia using magnetic resonance imaging

    公开(公告)号:US12175674B1

    公开(公告)日:2024-12-24

    申请号:US18470269

    申请日:2023-09-19

    Abstract: The present disclosure provides methods and systems for measuring paraspinal muscle parameters using MRI. Two-dimensional MRI image slices of a subject's spine may be obtained. A slice selection model may identify one or more representative slices, each located at or adjacent to a physiological region corresponding to a specific biomechanical environment in a respective spine level of the subject's spine. A muscle segmentation model may segment each representative slice. Segmenting a representative slice may include generating an image segmentation mask including a plurality of pixels in the representative slice corresponding to paraspinal muscle and excluding a plurality of pixels in the representative slice corresponding to metal artifacts and/or to biological matter other than paraspinal muscle. A measurement extraction model may extract measurements of one or more parameters of the subject's paraspinal muscle based on the plurality of pixels included in the generated image segmentation masks of the representative slices.

    Systems and methods for medical imaging

    公开(公告)号:US12148072B2

    公开(公告)日:2024-11-19

    申请号:US17804595

    申请日:2022-05-30

    Inventor: Tingrong Shi

    Abstract: The present disclosure provides a system and method for imaging. The method may include obtaining a plurality of protocols for scanning a subject using a scanner, wherein the plurality of protocols correspond to a plurality of regions of the subject, respectively. The method may also include determining one or more stitching parameters between protocols corresponding to each pair of neighboring regions of the plurality of regions. The method may further include generating image stitching verification data associated with the plurality of regions based at least in part on at least one of the one or more stitching parameters between protocols corresponding to each pair of neighboring regions of the plurality of regions. The method may still further include directing the scanner to scan the subject based at least in part on the image stitching verification data.

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