METHOD AND APPARATUS FOR CREATING MODEL OF PATIENT SPECIFIED TARGET ORGAN BASED ON BLOOD VESSEL STRUCTURE
    11.
    发明申请
    METHOD AND APPARATUS FOR CREATING MODEL OF PATIENT SPECIFIED TARGET ORGAN BASED ON BLOOD VESSEL STRUCTURE 有权
    用于创建基于血管结构的患者指定靶向组织模型的方法和装置

    公开(公告)号:US20140032197A1

    公开(公告)日:2014-01-30

    申请号:US13897818

    申请日:2013-05-20

    CPC classification number: G06F19/3437 G06F19/00 G06F19/12 G16H50/50

    Abstract: A method of creating a model of an organ, includes creating a shape model, including a blood vessel structure, of the organ based on three-dimensional (3D) images of the organ, and compartmentalizing the shape model into areas based on an influence of a blood vessel tree with respect to a deformation of the shape model, the blood vessel tree indicating the blood vessel structure. The method further includes deforming the blood vessel structure of the shape model to fit a blood vessel structure of a two-dimensional (2D) image of the organ, and creating the model of the organ based on the deformed blood vessel structure and the areas.

    Abstract translation: 一种创建器官模型的方法,包括基于器官的三维(3D)图像创建器官的形状模型(包括血管结构),并且基于影像的影响将形状模型划分为多个区域 相对于形状模型的变形的血管树,指示血管结构的血管树。 该方法还包括使形状模型的血管结构变形以适应器官的二维(2D)图像的血管结构,并且基于变形的血管结构和区域创建器官的模型。

    METHOD AND APPARATUS WITH IMAGE PROCESSING BASED ON A NEURAL NETWORK

    公开(公告)号:US20240054618A1

    公开(公告)日:2024-02-15

    申请号:US18337899

    申请日:2023-06-20

    CPC classification number: G06T5/002 G06T1/20 G06V10/82

    Abstract: A neural network-based image processing method and apparatus are provided. A method includes receiving input image data comprising original image data, when a current image processing mode is an independent processing mode, generating first intermediate image data by executing a main neural network based on the original image data and by not executing an auxiliary neural network based on the original image data, when the current image processing mode is in a cooperative processing mode, generating second intermediate image data by determining an auxiliary parameter by executing the auxiliary neural network based on the original image data and by executing the main neural network based on the original image data and based on the auxiliary parameter, and generating output image data by operating an image signal processing (ISP) block based the first intermediate image data or the second intermediate image data according to the current image processing mode.

    METHOD AND APPARATUS WITH IMAGE QUALITY IMPROVEMENT

    公开(公告)号:US20230403455A1

    公开(公告)日:2023-12-14

    申请号:US18333920

    申请日:2023-06-13

    CPC classification number: H04N23/55 G02B26/06

    Abstract: A device with image acquisition includes: a first phase mask disposed at a front end of a display layer and configured to modulate external light; the display layer comprising pixel areas between hole areas through which the modulated light that has passed through the first phase mask passes; a second phase mask disposed at a rear end of the display layer and configured to modulate the modulated light that has passed through the first phase mask; an image sensor disposed at a rear end of the second phase mask and configured to generate a raw image by sensing the modulated light that has passed through the second phase mask; and a processor configured to perform image processing on the raw image, based on blur information corresponding to the raw image.

    METHOD AND APPARATUS FOR PREDICTING INTENTION OF USER

    公开(公告)号:US20210018978A1

    公开(公告)日:2021-01-21

    申请号:US16699937

    申请日:2019-12-02

    Abstract: A method and apparatus for predicting an intention acquires a gaze sequence of a user, acquires an input image corresponding to the gaze sequence, generates a coded image by visually encoding temporal information included in the gaze sequence to the input image, and predicts an intention of the user corresponding to the gaze sequence based on the input image and the coded image.

    METHOD AND APPARATUS FOR MODELING AND RESTORING TARGET OBJECT USING PRE-COMPUTATION
    20.
    发明申请
    METHOD AND APPARATUS FOR MODELING AND RESTORING TARGET OBJECT USING PRE-COMPUTATION 审中-公开
    使用预先计算建模和恢复目标对象的方法和装置

    公开(公告)号:US20170024492A1

    公开(公告)日:2017-01-26

    申请号:US15178914

    申请日:2016-06-10

    CPC classification number: G06T19/20 G06T17/00 G06T2210/56 G06T2219/2021

    Abstract: Provided is a method and apparatus for modeling and restoring a target object, the method including generating a key structure of the target object based on deformation information of the target object extracted from a pre-modeling result based on a shape and a material property of the target object, and calculating a virtual material property corresponding to the key structure based on the virtual material property and the key structure of the target object.

    Abstract translation: 提供了一种用于建模和恢复目标对象的方法和装置,所述方法包括基于从预建模结果提取的目标对象的变形信息,基于所述目标对象的形状和材料属性来生成目标对象的关键结构 目标对象,并且基于目标对象的虚拟材料属性和键结构来计算与该键结构相对应的虚拟材料属性。

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