METHODS AND APPARATUS FOR SELF-LEARNING CLINICAL DECISION SUPPORT

    公开(公告)号:US20190138693A1

    公开(公告)日:2019-05-09

    申请号:US15808536

    申请日:2017-11-09

    Abstract: Apparatus, systems, and methods for computer-aided detection are disclosed and described. An example apparatus includes at least one processor and a memory. The example memory includes instructions which, when executed, cause the at least one processor to at least: associate first patient data and first outcome data according to a set of association rules; train a processing model using machine learning and the associated first patient data and first outcome data; generate a computer-aided decision processing algorithm using the processing model; update the computer-aided decision processing algorithm based on at least one of second patient data or second outcome data received from a cloud infrastructure; and deploy the updated computer-aided decision processing algorithm to be applied to third patient data.

    METHOD AND SYSTEM FOR TOMOSYNTHESIS PROJECTION IMAGES ENHANCEMENT
    3.
    发明申请
    METHOD AND SYSTEM FOR TOMOSYNTHESIS PROJECTION IMAGES ENHANCEMENT 审中-公开
    方法和系统的图像投影图像增强

    公开(公告)号:US20160183901A1

    公开(公告)日:2016-06-30

    申请号:US14984846

    申请日:2015-12-30

    Inventor: Sylvain Bernard

    Abstract: Method and system for obtaining images of an object of interest using a system comprising an x-ray source facing a detector. The method and system enable the acquiring of a plurality of 2D projection images of the object of interest in a plurality of orientations. A selected 2D projection image such as the zero projection of the plurality of projections can be enhanced by using at least a subset of the plurality of tomosynthesis projection images. The obtained enhanced 2D projection image is displayed for review.

    Abstract translation: 用于使用包括面向检测器的x射线源的系统来获得感兴趣对象的图像的方法和系统。 该方法和系统使得能够以多个取向获取感兴趣对象的多个2D投影图像。 可以通过使用多个断层合成投影图像的至少一个子集来增强所选择的2D投影图像,例如多个投影的零投影。 获得的增强2D投影图像被显示以供审查。

    Multimodality 2D to 3D imaging navigation

    公开(公告)号:US10796430B2

    公开(公告)日:2020-10-06

    申请号:US15960803

    申请日:2018-04-24

    Abstract: A system and method for the detection of ROIs in images obtained of a breast or other tissue of a patient significantly improves the speed and precision/accuracy of navigation between multimodality 2D and 3D images. In the system and method, images of the tissue are obtained in a DBT acquisition to generate a synthetic 2D image of the imaged tissue and in a 3D, e.g., ultrasound, image acquisition. The 2D image generation process creates a synthetic 2D image that embed a navigation map correlating pixels in the 2D images to sections of the 3D ultrasound volume, such as via a registration between the 3D ultrasound volume and a 3D volume created using the DBT image data. When a synthetic 2D image is reviewed, an ROI on the 2D image is selected and the system will additionally present the user with the section of the 3D volume containing that ROI.

    SYSTEMS AND METHODS FOR DEEP LEARNING-BASED IMAGE RECONSTRUCTION

    公开(公告)号:US20200211240A1

    公开(公告)日:2020-07-02

    申请号:US16235046

    申请日:2018-12-28

    Inventor: Sylvain Bernard

    Abstract: Methods, apparatus and systems for deep learning based image reconstruction are disclosed herein. An example at least one computer-readable storage medium includes instructions that, when executed, cause at least one processor to at least: obtain a plurality of two-dimensional (2D) tomosynthesis projection images of an organ by rotating an x-ray emitter to a plurality of orientations relative to the organ and emitting a first level of x-ray energization from the emitter for each projection image of the plurality of 2D tomosynthesis projection images; reconstruct a three-dimensional (3D) volume of the organ from the plurality of 2D tomosynthesis projection images; obtain an x-ray image of the organ with a second level of x-ray energization; generate a synthetic 2D image generation algorithm from the reconstructed 3D volume based on a similarity metric between the synthetic 2D image and the x-ray image; and deploy a model instantiating the synthetic 2D image generation algorithm.

    Multimodality 2D To 3D Imaging Navigation
    6.
    发明申请

    公开(公告)号:US20190325573A1

    公开(公告)日:2019-10-24

    申请号:US15960803

    申请日:2018-04-24

    Abstract: A system and method for the detection of ROIs in images obtained of a breast or other tissue of a patient significantly improves the speed and precision/accuracy of navigation between multimodality 2D and 3D images. In the system and method, images of the tissue are obtained in a DBT acquisition to generate a synthetic 2D image of the imaged tissue and in a 3D, e.g., ultrasound, image acquisition. The 2D image generation process creates a synthetic 2D image that embed a navigation map correlating pixels in the 2D images to sections of the 3D ultrasound volume, such as via a registration between the 3D ultrasound volume and a 3D volume created using the DBT image data. When a synthetic 2D image is reviewed, an ROI on the 2D image is selected and the system will additionally present the user with the section of the 3D volume containing that ROI.

    METHOD AND SYSTEM FOR OBTAINING LOW DOSE TOMOSYNTHESIS AND MATERIAL DECOMPOSITION IMAGES
    7.
    发明申请
    METHOD AND SYSTEM FOR OBTAINING LOW DOSE TOMOSYNTHESIS AND MATERIAL DECOMPOSITION IMAGES 审中-公开
    用于获得低剂量酪蛋白和材料分解图像的方法和系统

    公开(公告)号:US20160189376A1

    公开(公告)日:2016-06-30

    申请号:US14978460

    申请日:2015-12-22

    Abstract: Method and system for obtaining tomosynthesis and material decomposition images of an object of interest using a system comprising an x-ray source facing a detector. The method comprises generating a 2D material decomposition image of an object of interest from at least two sets of acquisitions. Each set is performed at a different energy spectrum and comprises at least one projection image or a plurality of projection images acquired at different x-ray source angulation positions, and the 2D material decomposition image can be generated for a predetermined orientation selected from one of said different x-ray source angulation positions or from a virtual orientation. At least one of the plurality of 3D volume portion images and/or the 2D contrast enhanced material decomposition image are displayed for review by a health care professional.

    Abstract translation: 用于使用包括面向检测器的x射线源的系统来获得感兴趣对象的体层合成和材料分解图像的方法和系统。 该方法包括从至少两组获取生成感兴趣对象的2D材料分解图像。 每个组以不同的能量谱进行,并且包括在不同x射线源角度位置处获取的至少一个投影图像或多个投影图像,并且2D材料分解图像可以针对从所述 不同的x射线源角度位置或虚拟方向。 多个3D体积部分图像和/或2D对比增强材料分解图像中的至少一个被显示供医疗保健专业人员审阅。

    Method and system for tomosynthesis projection image enhancement and review

    公开(公告)号:US10535167B2

    公开(公告)日:2020-01-14

    申请号:US16154275

    申请日:2018-10-08

    Inventor: Sylvain Bernard

    Abstract: A method and system for obtaining images of an object of interest using a system comprising an X-ray source facing a detector. The method and system enable the acquiring of a plurality of 2D projection images of the object of interest in a plurality of orientations. A selected 2D projection image such as the zero projection of the plurality of projections can be enhanced by using at least a subset of the plurality of tomosynthesis projection images. The obtained enhanced 2D projection image is displayed for review.

    Method for obtaining tomosynthesis images

    公开(公告)号:US09861323B2

    公开(公告)日:2018-01-09

    申请号:US14065864

    申请日:2013-10-29

    CPC classification number: A61B6/025 A61B6/502 A61B6/5205

    Abstract: A method for obtaining tomosynthesis images of an object of interest using an imaging system, wherein the imaging system comprises an X-ray source arranged to facing a detector on which the object of interest is positioned. The method comprises acquiring a plurality of projected 2D images of the object of interest in a plurality of orientations identified relative to a perpendicular to the detector, wherein a zero orientation is closest to the perpendicular and applying at least one filter to the acquired projected 2D images to obtain filtered, projection images of the object of interest. The method further comprises determining a reconstruction slice of the object of interest from the backprojection of at least two of the filtered projections, the set of reconstruction slices being the filtered, reconstructed volume of the object of interest, wherein a filter used on the 2D projection images is an adaptive filter.

    Systems and methods for deep learning-based image reconstruction

    公开(公告)号:US11227418B2

    公开(公告)日:2022-01-18

    申请号:US16235046

    申请日:2018-12-28

    Inventor: Sylvain Bernard

    Abstract: Methods, apparatus and systems for deep learning based image reconstruction are disclosed herein. An example at least one computer-readable storage medium includes instructions that, when executed, cause at least one processor to at least: obtain a plurality of two-dimensional (2D) tomosynthesis projection images of an organ by rotating an x-ray emitter to a plurality of orientations relative to the organ and emitting a first level of x-ray energization from the emitter for each projection image of the plurality of 2D tomosynthesis projection images; reconstruct a three-dimensional (3D) volume of the organ from the plurality of 2D tomosynthesis projection images; obtain an x-ray image of the organ with a second level of x-ray energization; generate a synthetic 2D image generation algorithm from the reconstructed 3D volume based on a similarity metric between the synthetic 2D image and the x-ray image; and deploy a model instantiating the synthetic 2D image generation algorithm.

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