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1. 发明授权

US11138768B2 System and method for artifact reduction in an image 有权
公开(公告)号：US11138768B2
公开(公告)日：2021-10-05
申请号：US16375292
申请日：2019-04-04
申请人： Medtronic Navigation, Inc. , Johns Hopkins University
发明人： Patrick A. Helm , Jeffrey H. Siewerdsen , Ali Uneri , Wojciech Zbijewski , Xiaoxuan Zhang , Joseph W. Stayman, IV
IPC分类号： G06T11/00 , G06T5/00 , G06T7/60 , A61B6/00 , A61B34/10 , A61B90/00
摘要： Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.

2. 发明申请

US20190311505A1 System And Method For Artifact Reduction In An Image 审中-公开
公开(公告)号：US20190311505A1
公开(公告)日：2019-10-10
申请号：US16375292
申请日：2019-04-04
申请人： Medtronic Navigation, Inc. , Johns Hopkins University
发明人： Patrick A. Helm , Jeffrey H. Siewerdsen , Ali Uneri , Wojciech Zbijewski , Xiaoxuan Zhang , Joseph W. Stayman, IV
IPC分类号： G06T11/00 , G06T5/00 , G06T7/60 , A61B6/00
摘要： Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.

3. 发明申请

US20200315553A1 System and Method for Displaying an Image 审中-公开
公开(公告)号：US20200315553A1
公开(公告)日：2020-10-08
申请号：US16375327
申请日：2019-04-04
申请人： Medtronic Navigation, Inc. , Johns Hopkins University
发明人： Patrick A. Helm , Jeffrey H. Siewerdsen , Ali Uneri
IPC分类号： A61B6/12 , G06T7/32 , G06T7/70 , G06T19/20 , G06T3/00 , A61B6/00
摘要： A method and system is disclosed for analyzing and evaluating image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject. The evaluation may be a location determination of a member positioned within the subject.

4. 发明授权

US11657518B2 Method for deformable 3D-2D registration using multiple locally rigid registrations 有权
公开(公告)号：US11657518B2
公开(公告)日：2023-05-23
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
CPC分类号： G06T7/33 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10116 , G06T2207/20221 , G06T2207/30012
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.

5. 发明授权

US11596367B2 Electromagnetic tracking system and methods of using same 有权
公开(公告)号：US11596367B2
公开(公告)日：2023-03-07
申请号：US16742034
申请日：2020-01-14
申请人： THE JOHNS HOPKINS UNIVERSITY
发明人： Jeffrey H. Siewerdsen , Jongheun Yoo
IPC分类号： A61B6/00 , A61B6/04 , G01R33/028 , A61B6/03 , A61B34/20 , A61B5/06 , A61G13/04
摘要： An electromagnetic tracking system including a patient support element and an electromagnetic field generator. The patient support element is superposed relative to the electromagnetic field generator, and the electromagnetic field generator is selectively moveable relative to the patient support element.

6. 发明申请

US20220270271A1 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.

7. 发明授权

US10478148B2 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).

8. 发明授权

US10064591B2 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.

9. 发明授权

US09626778B2 Information propagation in prior-image-based reconstruction 有权
公开(公告)号：US09626778B2
公开(公告)日：2017-04-18
申请号：US14404889
申请日：2013-05-31
申请人： The Johns Hopkins University
发明人： Joseph Webster Stayman , Jeffrey H. Siewerdsen
IPC分类号： G06K9/00 , G06T11/00
CPC分类号： G06T11/006 , G06T2211/424
摘要： A framework, comprising techniques, process(es), device(s), system(s), combinations thereof, or the like, to analyze propagation of information in prior-image-based reconstruction by decomposing the estimation into distinct components supported by a current data acquisition and by a prior image. Such decomposition can quantify contributions from prior data and current data as a spatial map and/or can trace specific features in an image to a source of at least some of such features.

10. 发明授权

US09305379B2 Methods and systems for tomographic reconstruction 有权
标题翻译：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。

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