DUAL-ENERGY CONE-BEAM COMPUTED TOMOGRAPHY WITH A MULTIPLE SOURCE, SINGLE-DETECTOR CONFIGURATION
    4.
    发明申请
    DUAL-ENERGY CONE-BEAM COMPUTED TOMOGRAPHY WITH A MULTIPLE SOURCE, SINGLE-DETECTOR CONFIGURATION 审中-公开
    具有多个源的双能量电脑计算机测图,单次检测器配置

    公开(公告)号:US20160262709A1

    公开(公告)日:2016-09-15

    申请号:US15030818

    申请日:2014-11-25

    IPC分类号: A61B6/00 A61B6/03

    摘要: The present invention is directed to a system and method for dual-energy (DE) or multiple-energy (spectral) cone-beam computed tomography (CBCT) using a configuration of multiple x-ray sources and a single detector. The x-ray sources are operated to produce x-ray spectra of different energies (peak kilovoltage (kVp) and/or filtration). Volumetric 3D image reconstruction and dual or triple energy 3D image decomposition can be executed using data from the CBCT scan. The invention allows for a variety of selections in energy and filtration associated with each source and the order of pulsing for each source (“firing pattern”). The motivation for distributing the sources along the z direction in CBCT includes extension of the longitudinal field of view and reduction of cone-beam artifacts.

    摘要翻译: 本发明涉及使用多个X射线源和单个检测器的配置的双能量(DE)或多能量(频谱)锥束计算机断层摄影(CBCT)的系统和方法。 操作x射线源以产生不同能量(峰值千伏(kVp)和/或过滤)的x射线光谱。 体积3D图像重建和双重或三重能量3D图像分解可以使用CBCT扫描的数据执行。 本发明允许与每个源相关联的能量和过滤中的各种选择以及针对每个源(“点火模式”)的脉冲顺序。 在CBCT中沿Z方向分配源的动机包括纵向视场的扩展和锥束伪影的减少。

    METHOD FOR DEFORMABLE 3D-2D REGISTRATION USING MULTIPLE LOCALLY RIGID REGISTRATIONS

    公开(公告)号:US20220270271A1

    公开(公告)日:2022-08-25

    申请号:US17741782

    申请日:2022-05-11

    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

    公开(公告)号:US10478148B2

    公开(公告)日:2019-11-19

    申请号:US15436042

    申请日:2017-02-17

    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

    公开(公告)号:US10064591B2

    公开(公告)日:2018-09-04

    申请号:US15322697

    申请日:2015-07-09

    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.