System and method for generating a CT slice image

    公开(公告)号:US10521933B2

    公开(公告)日:2019-12-31

    申请号:US15912066

    申请日:2018-03-05

    Abstract: The present invention provides a system and method for generating a CT slice image. The system comprises an MIP image generation module, a region of interest determination module, an angle setting module, a curve determination module, a match module and a slice generation module. The MIP image generation module generates MIP images of a reconstructed image; the region of interest determination module determines an image range in an original slice, and determines the parts of the MIP images within the image range as regions of interest; the angle setting module rotates the regions of interest to a plurality of specific angles for a plurality of times; the curve determination module generates a plurality of two-dimensional projected curves of the regions of interest for the plurality of specific angles; the match module selects a two-dimensional projected curve matching with a part to be diagnosed based on features of the plurality of two-dimensional projected curves; the slice generation module determines a slice position range and a slice angle based on the features of the matched curve and the corresponding specific angle.

    Deep learning medical systems and methods for medical procedures

    公开(公告)号:US10438354B2

    公开(公告)日:2019-10-08

    申请号:US16359647

    申请日:2019-03-20

    Abstract: Methods and apparatus for monitoring and improving imaging system operation are provided. An example apparatus includes a first deployed deep learning network (DLN) which operates with an acquisition engine to generate an imaging device configuration. The example apparatus includes a second deployed DLN which operates with a reconstruction engine based on acquired image data. The example apparatus includes a first assessment engine with a third deployed DLN. The assessment engine receives output from at least one of the acquisition engine or the reconstruction engine to assess operation of the respective at least one of the acquisition engine or the reconstruction engine and to provide feedback to the respective at least one of the acquisition engine or the reconstruction engine. The first deployed DLN and the second deployed DLN are generated and deployed from first and second training DLNS, respectively.

    Apparatus and method for beam hardening artifact correction of CT image

    公开(公告)号:US10163206B2

    公开(公告)日:2018-12-25

    申请号:US15281396

    申请日:2016-09-30

    Abstract: The present invention provides an apparatus and method for beam hardening artifact correction of CT image, comprising a bone tissue image obtain module, a first correction module, an orthographic projection module, and a correction image obtaining module. The bone tissue image obtain module is used to extract a bone tissue image from a reconstructed original image; the first correction module is used to increase a current CT value of the bone tissue image; the orthographic projection module is used to perform an orthographic projection on the bone tissue image with the CT value being increased to obtain an orthographic projection data of the bone tissue image; the correction image obtaining module is used to perform image reconstruction according to the orthographic projection data of the bone tissue image described above and obtain a correction image.

    SYSTEM AND METHOD FOR GENERATING A CT SLICE IMAGE

    公开(公告)号:US20180260982A1

    公开(公告)日:2018-09-13

    申请号:US15912066

    申请日:2018-03-05

    Abstract: The present invention provides a system and method for generating a CT slice image. The system comprises an MIP image generation module, a region of interest determination module, an angle setting module, a curve determination module, a match module and a slice generation module. The MIP image generation module generates MIP images of a reconstructed image; the region of interest determination module determines an image range in an original slice, and determines the parts of the MIP images within the image range as regions of interest; the angle setting module rotates the regions of interest to a plurality of specific angles for a plurality of times; the curve determination module generates a plurality of two-dimensional projected curves of the regions of interest for the plurality of specific angles; the match module selects a two-dimensional projected curve matching with a part to be diagnosed based on features of the plurality of two-dimensional projected curves; the slice generation module determines a slice position range and a slice angle based on the features of the matched curve and the corresponding specific angle.

    METHODS FOR PERSONALIZING BLOOD FLOW MODELS
    66.
    发明申请

    公开(公告)号:US20170325769A1

    公开(公告)日:2017-11-16

    申请号:US15154360

    申请日:2016-05-13

    Abstract: The present approach provides a non-invasive methodology for estimation of coronary flow and/or fractional flow reserve. In certain implementations, various approaches for personalizing blood flow models of the coronary vasculature are described. The described personalization approaches involve patient-specific measurements and do not assume or rely on the resting coronary flow being proportional to myocardial mass. Consequently, there are fewer limitations in using these approaches to obtain coronary flow and/or fractional flow reserve estimates non-invasively.

    METHODS AND SYSTEMS FOR AUTOMATIC SEGMENTATION
    70.
    发明申请
    METHODS AND SYSTEMS FOR AUTOMATIC SEGMENTATION 审中-公开
    自动分类方法与系统

    公开(公告)号:US20160292874A1

    公开(公告)日:2016-10-06

    申请号:US14673650

    申请日:2015-03-30

    Abstract: Methods and systems are provided for reconstructing and automatically segmenting an image. In one embodiment, a method comprises generating a first image from acquired projection data based on an iterative reconstruction algorithm, generating a second image from the acquired projection data based on a modified iterative reconstruction algorithm, segmenting the second image to obtain segments, segmenting the first image based on the segments of the second image, and outputting the segmented first image to a display. In this way, an image which may otherwise prove challenging for an automatic segmentation process may be accurately segmented without sacrificing textural details of the image.

    Abstract translation: 提供了用于重建和自动分割图像的方法和系统。 在一个实施例中,一种方法包括基于迭代重建算法从所获取的投影数据生成第一图像,基于经修改的迭代重建算法从获取的投影数据生成第二图像,分割第二图像以获得段,分割第一图像 基于第二图像的片段的图像,并将分割的第一图像输出到显示器。 以这种方式,可以在不牺牲图像的纹理细节的情况下精确地分割可能对于自动分割过程具有挑战性的图像。

Patent Agency Ranking