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    METHOD FOR DEFORMABLE 3D-2D REGISTRATION USING MULTIPLE LOCALLY RIGID REGISTRATIONS
    3.
    发明申请
    METHOD FOR DEFORMABLE 3D-2D REGISTRATION USING MULTIPLE LOCALLY RIGID REGISTRATIONS 有权

    公开(公告)号：US20220270271A1

    公开(公告)日：2022-08-25

    申请号：US17741782

    申请日：2022-05-11

    申请人： The Johns Hopkins University

    发明人： Michael Ketcha ,  Wathudurage Tharindu deSilva ,  Ali Uneri ,  Jean-Paul Wolinsky ,  Jeffrey H. Siewerdsen

    IPC分类号： G06T7/33

    摘要： An embodiment in accordance with the present invention provides a method for 3D-2D registration (for example, registration of a 3D CT image to a 2D radiograph) that permits deformable motion between structures defined in the 3D image based on a series of locally rigid transformations. This invention utilizes predefined annotations in 3D images (e.g., the location of anatomical features of interest) to perform multiple locally rigid registrations that yield improved accuracy in aligning structures that have undergone deformation between the acquisition of the 3D and 2D images (e.g., a preoperative CT compared to an intraoperative radiograph). The 3D image is divided into subregions that are masked according to the annotations, and the registration is computed simultaneously for each divided region by incorporating a volumetric masking method within the 3D-2D registration process.

    Self-calibrating projection geometry for volumetric image reconstruction
    4.
    发明授权
    Self-calibrating projection geometry for volumetric image reconstruction 有权

    公开(公告)号：US10478148B2

    公开(公告)日：2019-11-19

    申请号：US15436042

    申请日：2017-02-17

    申请人： THE JOHNS HOPKINS UNIVERSITY

    发明人： Jeffrey H. Siewerdsen ,  Yoshito Otake ,  Joseph Webster Stayman ,  Ali Uneri ,  Adam S. Wang ,  Sarah Ouadah

    IPC分类号： G06K9/00 ,  A61B6/00 ,  A61B6/03 ,  A61B6/02

    摘要： The present invention is directed to a method for enabling volumetric image reconstruction from unknown projection geometry of tomographic imaging systems, including CT, cone-beam CT (CBCT), and tomosynthesis systems. The invention enables image reconstruction in cases where it was not previously possible (e.g., custom-designed trajectories on robotic C-arms, or systems using uncalibrated geometries), and more broadly offers improved image quality (e.g., improved spatial resolution and reduced streak artifact) and robustness to patient motion (e.g., inherent compensation for rigid motion) in a manner that does not alter the patient setup or imaging workflow. The method provides a means for accurately estimating the complete geometric description of each projection acquired during a scan by simulating various poses of the x-ray source and detector to determine their unique, scan-specific positions relative to the patient, which is often unknown or inexactly known (e.g., a custom-designed trajectory, or scan-to-scan variability in source and detector position).

    System, method and computer readable medium for preview of low-dose x-ray projection and tomographic images
    5.
    发明授权
    System, method and computer readable medium for preview of low-dose x-ray projection and tomographic images 有权

    公开(公告)号：US10064591B2

    公开(公告)日：2018-09-04

    申请号：US15322697

    申请日：2015-07-09

    申请人： The Johns Hopkins University

    发明人： Adam Wang ,  Jeffrey H. Siewerdsen

    IPC分类号： A61B6/00 ,  A61B6/02 ,  A61B6/03 ,  G06T11/00

    摘要： A novel method for simulating radiation dose reduction that enables previews of low-dose x-ray projection images, low-dose computed tomography images and/or cone-beam CT images. Given an existing projection or set of projections of the patient acquired at a nominal dose, the method provides a means to produce highly accurate preview images that accurately reflect the image quality associated with reduced radiation dose. The low-dose preview image accounts for characteristics of the imaging system, including blur, variations in detector gain and electronic noise, and does so in a manner that yields accurate depiction of the magnitude and correlation of image noise in the preview images. A calibration step may be included to establish the system-specific relationship between the mean and variance in detector signal, and incorporate an accurate model for system blur such that correlations in the resulting LDP images are accurate.

    Methods and systems for tomographic reconstruction
    7.
    发明授权
    Methods and systems for tomographic reconstruction 有权
    断层重建方法与系统

    公开(公告)号：US09305379B2

    公开(公告)日：2016-04-05

    申请号：US14370743

    申请日：2013-01-10

    申请人： The Johns Hopkins University

    发明人： Joseph Webster Stayman ,  Jeffrey H. Siewerdsen

    IPC分类号： G06K9/00 ,  G06T11/00 ,  G06T7/00

    CPC分类号： G06T11/008 ,  G06T7/38 ,  G06T11/005 ,  G06T2207/10081

    摘要： A method for processing an image of a series of images includes receiving first data representing a first previously reconstructed image and receiving second data representing a second image. A second image is reconstructed in accordance with the first data, the second data and a noise model. The noise model is a likelihood estimation. The second image is reconstructed in accordance with a penalty function. The penalty function is a roughness penalty function. The penalty function is updated by iteratively adjusting an image volume estimate. The penalty function is updated by iteratively adjusting a registration term. The penalty function is a prior image penalty function and the prior image penalty function and a registration term are jointly optimized. The penalty function is determined in accordance with a noise model. The function is a p-norm penalty function.

    摘要翻译： 一种用于处理一系列图像的图像的方法包括接收表示第一先前重建的图像的第一数据和接收表示第二图像的第二数据。 根据第一数据，第二数据和噪声模型重构第二图像。 噪声模型是似然估计。 根据惩罚函数重建第二个图像。 惩罚函数是粗糙度惩罚函数。 惩罚函数通过迭代地调整图像体积估计来更新。 惩罚函数通过迭代地调整注册项来更新。 惩罚函数是先验图像惩罚函数，并且联合优化了先前图像惩罚函数和注册项。 惩罚函数根据噪声模型确定。 该函数是一个p范数惩罚函数。

    METHOD FOR DEFORMABLE 3D-2D REGISTRATION USING MULTIPLE LOCALLY RIGID REGISTRATIONS
    9.
    发明申请
    METHOD FOR DEFORMABLE 3D-2D REGISTRATION USING MULTIPLE LOCALLY RIGID REGISTRATIONS 审中-公开

    公开(公告)号：US20200065984A1

    公开(公告)日：2020-02-27

    申请号：US16291012

    申请日：2019-03-04

    申请人： THE JOHNS HOPKINS UNIVERSITY

    发明人： Michael Ketcha ,  Wathudurage Tharindu deSilva ,  Ali Uneri ,  Jean-Paul Wolinsky ,  Jeffrey H. Siewerdsen

    IPC分类号： G06T7/33

    摘要： An embodiment in accordance with the present invention provides a method for 3D-2D registration (for example, registration of a 3D CT image to a 2D radiograph) that permits deformable motion between structures defined in the 3D image based on a series of locally rigid transformations. This invention utilizes predefined annotations in 3D images (e.g., the location of anatomical features of interest) to perform multiple locally rigid registrations that yield improved accuracy in aligning structures that have undergone deformation between the acquisition of the 3D and 2D images (e.g., a preoperative CT compared to an intraoperative radiograph). The 3D image is divided into subregions that are masked according to the annotations, and the registration is computed simultaneously for each divided region by incorporating a volumetric masking method within the 3D-2D registration process.