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公开(公告)号：US20250069240A1
公开(公告)日：2025-02-27
申请号：US18723293
申请日：2022-12-19
Applicant: ANNALISE-AI PTY LTD
Inventor： Jarrel SEAH , Andrew JOHNSON , Dang-Dinh-Ang TRAN
Abstract: In an implementation, a system for registering at least one medical image is provided, the system including a standardization component that may initially adjust the medical image. The system provides a deep learning model that receives the at least one medical image from the standardization component, the deep learning model generating an 3D transform matrix for the at least one medical image relative to a template image based on trained machine learning logic and an interpolation component that receives the 3D transform matrix from the deep learning model and receives the at least one medical image, the interpolation component registering the at least one medical image in three-dimensional space based on the 3D transform matrix.
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公开(公告)号：US12236503B2
公开(公告)日：2025-02-25
申请号：US17788732
申请日：2022-04-02
Applicant: ZHEJIANG UNIVERSITY
Inventor： Huafeng Liu , Bo Wang
Abstract: The present invention discloses a PET system attenuation correction method based on a flow model. The flow model adopted is a completely reversible model, the forward and reverse mappings share the same parameters, and the structure itself is a consistency constraint. The model utilizes the spatial correlation of adjacent slices, and adopts the structure of multi-slice input and single-slice output. The model consists of multiple reversible blocks, each of which consists of a enhanced affine coupling layer and a reversible 1×1 convolutional layer, and uses several small u-nets to learn the transformation parameters of the enhanced affine coupling layer. The present invention avoids additional CT or MR scanning, saves scanning cost for the patient, and reduces the damage of CT radiation to the patient; compared with similar methods, higher quality non-attenuation-corrected PET image can be obtained.
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公开(公告)号：US12223429B2
公开(公告)日：2025-02-11
申请号：US18531374
申请日：2023-12-06
Applicant: NVIDIA Corporation
Inventor： Innfarn Yoo , Rohit Taneja
IPC: G06N3/084 , G06N3/045 , G06N20/00 , G06T7/30 , G06T7/50 , G06T7/521 , G06T15/00 , G06V10/25 , G06V10/44 , G06V10/764 , G06V10/80 , G06V10/82 , G06V20/58 , G06V20/64
Abstract: In various examples, a two-dimensional (2D) and three-dimensional (3D) deep neural network (DNN) is implemented to fuse 2D and 3D object detection results for classifying objects. For example, regions of interest (ROIs) and/or bounding shapes corresponding thereto may be determined using one or more region proposal networks (RPNs)—such as an image-based RPN and/or a depth-based RPN. Each ROI may be extended into a frustum in 3D world-space, and a point cloud may be filtered to include only points from within the frustum. The remaining points may be voxelated to generate a volume in 3D world space, and the volume may be applied to a 3D DNN to generate one or more vectors. The one or more vectors, in addition to one or more additional vectors generated using a 2D DNN processing image data, may be applied to a classifier network to generate a classification for an object.
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公开(公告)号：US20250040993A1
公开(公告)日：2025-02-06
申请号：US18718226
申请日：2021-12-17
Applicant: Brainlab AG
Inventor： Sebastian STOPP , Marius LOCHER , Valentin ELEFTERIU
Abstract: The disclosed method relates to an approach of monitoring validity of a patient registration, wherein a contour of a rigid anatomical structure is initially determined in three-dimensional space, and its spatial position is constantly checked afterwards so as to detect a possible spatial deviation of the contour which may indicate an invalidated patient registration.
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公开(公告)号：US12213827B2
公开(公告)日：2025-02-04
申请号：US17764326
申请日：2020-09-18
Applicant: Siemens Healthcare GmbH
Inventor： Oliver Taubmann , Hendrik Ditt
Abstract: At least one example embodiment relates to a computer-implemented method for providing stroke information, the method comprising receiving computed tomography imaging data of an examination area of a patient, the examination area of the patient comprising a plurality of brain regions, at least one brain region of the plurality of brain regions being affected by a stroke, receiving brain atlas data, generating registered imaging data based on the computed tomography imaging data and the brain atlas data, the registered imaging data being registered to the brain atlas data, generating the stroke information regarding the stroke based on a set of algorithms and the registered imaging data, and providing the stroke information.
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公开(公告)号：US20250037327A1
公开(公告)日：2025-01-30
申请号：US18918677
申请日：2024-10-17
Applicant: Siemens Medical Solutions USA, Inc.
Inventor： Joshua Schaefferkoetter
Abstract: A framework for registering anatomical to functional images using deep learning. In accordance with one aspect, the framework extracts features by applying an anatomical image and a corresponding functional image as input to a first trained convolutional neural network. A deformation field is estimated by applying the extracted features as input to a second trained convolutional neural network. The deformation field may then be applied to the anatomical image to generate a registered anatomical image.
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公开(公告)号：US20250036030A1
公开(公告)日：2025-01-30
申请号：US18716111
申请日：2022-11-18
Applicant: ASML Netherlands B.V.
Inventor： Haoyi LIANG , Ye GUO , Zhichao CHEN
Abstract: An improved method and system for image alignment of an inspection image are disclosed. An improved method comprises acquiring an inspection image, acquiring a reference image corresponding to the inspection image, acquiring a target alignment between the inspection image and the reference image based on characteristics of the inspection image and the reference image, estimating an alignment parameter based on the target alignment, and applying the alignment parameter to a subsequent inspection image.
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公开(公告)号：US20250032195A1
公开(公告)日：2025-01-30
申请号：US18914969
申请日：2024-10-14
Applicant: INTUITIVE SURGICAL OPERATIONS, INC.
Inventor： Federico Barbagli , Christopher R. Carlson , Caitlin Q. Donhowe , Vincent Duindam , Timothy D. Soper , Tao Zhao
IPC: A61B34/20 , A61B1/00 , A61B1/005 , A61B1/01 , A61B1/267 , A61B34/10 , A61B34/30 , A61B34/35 , A61B90/00 , G06T7/00 , G06T7/30 , G06T7/38
Abstract: A method performed by a computing system comprises receiving shape information for an elongate flexible portion of a medical instrument. The medical instrument includes a reference portion movably coupled to a fixture having a known pose in a surgical reference frame. The fixture includes a constraint structure having a known constraint structure location in the surgical reference frame. The elongate flexible portion is coupled to the reference portion and is sized to pass through the constraint structure. The method further includes receiving reference portion position information in the surgical reference frame; determining an estimated constraint structure location in the surgical reference frame from the reference portion position information and the shape information; determining a correction factor by comparing the estimated constraint structure location to the known constraint structure location; and modifying the shape information based upon the correction factor.
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9.发明授权
公开(公告)号：US12198325B2
公开(公告)日：2025-01-14
申请号：US17244183
申请日：2021-04-29
Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA
Inventor： Ajey Poovannummoottil Jacob , John Damoulakis , Akhilesh Jaiswal , Devanand Krishna Shenoy , Andrew Rittenbach
IPC: G06T7/00 , G06T3/4046 , G06T7/30 , G06T11/00 , H01J37/244 , H01J37/28
Abstract: A method for assuring that integrated circuits are free of malicious circuit insertions and/or IC design modifications through mask swapping/addition is provided. The method includes a step of comparing 3D tomographic images constructed from design GDS to the 3D tomographic images constructed from in-line fab metrology data.
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公开(公告)号：US20250014185A1
公开(公告)日：2025-01-09
申请号：US18895431
申请日：2024-09-25
Applicant: FUJIFILM CORPORATION
Inventor： Shunsuke TOMINAGA
Abstract: An information processing apparatus includes a processor configured to: acquire an organ image obtained by imaging an organ of a subject; detect an abnormal portion, in which an abnormality is estimated to occur, from the organ image; register the organ image with a reference image having positional information of a plurality of anatomical parts of the organ to define the anatomical parts in the organ image; and output degree information indicating a degree of occurrence of the abnormal portion in each of the plurality of anatomical parts.
