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1. 发明授权

US09679110B2 Developing predictive dose-volume relationships for a radiotherapy treatment 有权
公开(公告)号：US09679110B2
公开(公告)日：2017-06-13
申请号：US13486809
申请日：2012-06-01
申请人： Kevin L. Moore , Sasa Mutic , Ryan Scott Brame , Lindsey Appenzoller
发明人： Kevin L. Moore , Sasa Mutic , Ryan Scott Brame , Lindsey Appenzoller
IPC分类号： G01N33/48 , G01N33/50 , G06F19/00 , A61N5/10 , G06F19/24
CPC分类号： G16H50/50 , A61N5/1031 , G06F19/00 , G06F19/24 , G06F19/3481 , G06N5/04 , G06N99/005
摘要： Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

2. 发明申请

US20210264591A1 METHODS OF IMAGE RECONSTRUCTION TO REDUCE ARTIFACTS IN RAPID CBCT SCANS 有权
公开(公告)号：US20210264591A1
公开(公告)日：2021-08-26
申请号：US17187648
申请日：2021-02-26
申请人： Chunjoo Park , Bin Cai , Sasa Mutic
发明人： Chunjoo Park , Bin Cai , Sasa Mutic
IPC分类号： G06T7/00 , G06T7/11 , G06T11/00
摘要： A computer-implemented method for correcting artifacts within CT images of a subject includes providing iteratively correcting a CT volumetric image with a high-contrast mask by overpainting the high-contrast mask within CT volumetric image set by evaluating a model function and updating the CT projections to reflect the overpainting using a gradient descent based on previous overpainted CT projections, back-projecting the corrected CT projections to produce a corrected volumetric image set, and comparing the corrected CT volumetric image set against a previous corrected CT volumetric image set until convergence. The original voxels overpainted by the high-contrast mask are re-inserted into the converged CT volumetric image to produce the final CT volumetric image set.

3. 发明申请

US20120310615A1 DEVELOPING PREDICTIVE DOSE-VOLUME RELATIONSHIPS FOR A RADIOTHERAPY TREATMENT 有权
标题翻译：发展放射治疗的预测剂量 - 体积关系
公开(公告)号：US20120310615A1
公开(公告)日：2012-12-06
申请号：US13486809
申请日：2012-06-01
申请人： Kevin L. Moore , Sasa Mutic , Ryan Scott Brame , Lindsey Appenzoller
发明人： Kevin L. Moore , Sasa Mutic , Ryan Scott Brame , Lindsey Appenzoller
IPC分类号： G06G7/60
CPC分类号： G16H50/50 , A61N5/1031 , G06F19/00 , G06F19/24 , G06F19/3481 , G06N5/04 , G06N99/005
摘要： Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.
摘要翻译：实施例开发了放射治疗治疗的预测剂量 - 体积关系。系统包括用于存储对应于多个患者的数据的存储区域，其中数据包括规划目标体积的三维表示和一个或多个风险的器官。数据还包括传递到规划目标体积的辐射量和一个或多个处于风险中的器官。该系统还包括一个或多个处理器，其被编程为从存储器区域访问数据，并开发使用规划目标体积和一个或多个器官的体积关系的三维表示来预测剂量 - 体积关系的模型。风险。该模型是从一个或多个风险器官的离散体积元素与规划目标体积的边界表面之间的剂量 - 体积关系和计算的最小距离向量之间的相关性得出的。

4. 发明授权

US12121749B2 Image deformation methods and curved couch for radiotherapy treatment planning 有权
公开(公告)号：US12121749B2
公开(公告)日：2024-10-22
申请号：US17283870
申请日：2019-10-10
申请人： Tianyu Zhao , Sasa Mutic
发明人： Tianyu Zhao , Sasa Mutic
IPC分类号： A61N5/10
CPC分类号： A61N5/1039
摘要： Disclosed herein is a method for deforming patient images obtained with a couch of one set of physical properties (e.g. curvature) based on the physical properties (e.g. curvature) of a couch where radiation therapy treatment will be performed. Also disclosed herein is a radiotherapy delivery system which includes a non-flat couch top, on-couch planning, and optional deformable image registration. The methods and systems use images from scanners of various couch top shapes for treatment of radiotherapy patients without a need for specialized treatment planning imaging. In such methods and systems, treatment delivery can be performed based on only diagnostic images and setup images acquired at the time of treatment on the treatment machine. The radiotherapy delivery systems can include any combination of volumetric imaging with radiotherapy treatments with photon, proton, electron, and\or other particle radiation.

5. 发明申请

US20200034948A1 ML-BASED METHODS FOR PSEUDO-CT AND HR MR IMAGE ESTIMATION 审中-公开
公开(公告)号：US20200034948A1
公开(公告)日：2020-01-30
申请号：US16525562
申请日：2019-07-29
申请人： Chunjoo Park , Sasa Mutic , Hao Zhang , Olga Green
发明人： Chunjoo Park , Sasa Mutic , Hao Zhang , Olga Green
IPC分类号： G06T3/40 , G06T5/00 , G06N3/08 , G06N3/04 , G06N20/20 , G06F17/18 , A61B6/00 , A61N5/10
摘要： The present disclosure describes a computer-implemented method of transforming a low-resolution MR image to a high-resolution MR image using a deep CNN-based MRI SR network and a computer-implemented method of transforming an MR image to a pseudo-CT (sCT) image using a deep CNN-based sCT network. The present disclosure further describes a MR image-guided radiation treatment system that includes a computing device to implement the MRI SR and CT networks and to produce a radiation plan based in the resulting high resolution MR images and sCT images.

6. 发明授权

US11823380B2 Methods of image reconstruction to reduce artifacts in rapid CBCT scans 有权
公开(公告)号：US11823380B2
公开(公告)日：2023-11-21
申请号：US17187648
申请日：2021-02-26
申请人： Chunjoo Park , Bin Cai , Sasa Mutic
发明人： Chunjoo Park , Bin Cai , Sasa Mutic
IPC分类号： G06T7/00 , G06T7/11 , G06T11/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T11/008 , G06T2207/10081 , G06T2207/20081
摘要： A computer-implemented method for correcting artifacts within CT images of a subject includes providing iteratively correcting a CT volumetric image with a high-contrast mask by overpainting the high-contrast mask within CT volumetric image set by evaluating a model function and updating the CT projections to reflect the overpainting using a gradient descent based on previous overpainted CT projections, back-projecting the corrected CT projections to produce a corrected volumetric image set, and comparing the corrected CT volumetric image set against a previous corrected CT volumetric image set until convergence. The original voxels overpainted by the high-contrast mask are re-inserted into the converged CT volumetric image to produce the final CT volumetric image set.

7. 发明授权

US11756160B2 ML-based methods for pseudo-CT and HR MR image estimation 有权
公开(公告)号：US11756160B2
公开(公告)日：2023-09-12
申请号：US16525562
申请日：2019-07-29
申请人： Chunjoo (Justin) Park , Sasa Mutic , Hao Zhang , Olga Green
发明人： Chunjoo (Justin) Park , Sasa Mutic , Hao Zhang , Olga Green
IPC分类号： G06T3/40 , G06T5/00 , G06N3/08 , G06N3/04 , G06F17/18 , A61B6/00 , A61N5/10 , G06N20/20 , G06N3/045
CPC分类号： G06T3/4053 , A61B6/5258 , A61N5/1039 , G06F17/18 , G06N3/045 , G06N3/08 , G06N20/20 , G06T5/002 , G06T2207/10088
摘要： The present disclosure describes a computer-implemented method of transforming a low-resolution MR image to a high-resolution MR image using a deep CNN-based MRI SR network and a computer-implemented method of transforming an MR image to a pseudo-CT (sCT) image using a deep CNN-based sCT network. The present disclosure further describes a MR image-guided radiation treatment system that includes a computing device to implement the MRI SR and CT networks and to produce a radiation plan based in the resulting high resolution MR images and sCT images.

8. 发明申请

US20210346720A1 IMAGE DEFORMATION METHODS AND CURVED COUCH FOR RADIOTHERAPY TREATMENT PLANNING 有权
公开(公告)号：US20210346720A1
公开(公告)日：2021-11-11
申请号：US17283870
申请日：2019-10-10
申请人： Tianyu Zhao , Sasa Mutic
发明人： Tianyu Zhao , Sasa Mutic
IPC分类号： A61N5/10
摘要： Disclosed herein is a method for deforming patient images obtained with a couch of one set of physical properties (e.g. curvature) based on the physical properties (e.g. curvature) of a couch where radiation therapy treatment will be performed. Also disclosed herein is a radiotherapy delivery system which includes a non-flat couch top, on-couch planning, and optional deformable image registration. The methods and systems use images from scanners of various couch top shapes for treatment of radiotherapy patients without a need for specialized treatment planning imaging. In such methods and systems, treatment delivery can be performed based on only diagnostic images and setup images acquired at the time of treatment on the treatment machine. The radiotherapy delivery systems can include any combination of volumetric imaging with radiotherapy treatments with photon, proton, electron, and\or other particle radiation.

9. 发明申请

US20180318603A1 RADIATION MODULATOR AND METHODS OF USE AND PRODUCTION THEREOF 审中-公开
公开(公告)号：US20180318603A1
公开(公告)日：2018-11-08
申请号：US15972907
申请日：2018-05-07
申请人： Chunjoo Park , Sasa Mutic , Hao Zhang
发明人： Chunjoo Park , Sasa Mutic , Hao Zhang
IPC分类号： A61N5/10
CPC分类号： A61N5/1016 , A61N5/1007 , A61N5/1027 , A61N5/1039 , A61N2005/1003
摘要： The present disclosure is directed to a computer-implemented method for designing a patient-specific brachytherapy (BT) tandem applicator. The method is implemented using at least one processor in communication with at least one memory. The method includes receiving a radiation treatment plan for treating a region of interest. The radiation treatment plan includes a prescribed radiation dosage and patient anatomical data of the region of interested to be treated. The method also includes applying an inverse planning optimization model to determine an optimal thickness of an interior surface of the tandem applicator at a plurality of dwell positions within the region of interest. The method also includes generating a schedule of dwell times for the tandem applicator based on the generated position-dependent thickness profile. The method also includes transmitting design instructions to a 3D printer for fabrication of the tandem applicator.

10. 发明申请

US20110145693A1 TRANSFER OF DIGITAL MEDICAL IMAGES AND DATA 审中-公开
标题翻译：数字医学图像和数据的传输
公开(公告)号：US20110145693A1
公开(公告)日：2011-06-16
申请号：US12964922
申请日：2010-12-10
申请人： Sasa Mutic , Mark Wiesmeyer , Daniel Low , Ryan Scott Brame , Theresa Wolf
发明人： Sasa Mutic , Mark Wiesmeyer , Daniel Low , Ryan Scott Brame , Theresa Wolf
IPC分类号： G06F17/00 , G06F3/048
CPC分类号： G06F19/321
摘要： A system for distributing images creates a self-sufficient, self-consistent medical imaging and other medical information transfer file that contains image files and corresponding data sets that are bundled with an image viewer application. The medical image and data transfer file is prepared using object serialization and contains a deserialization application. The transfer file is created at an origination location and transmitted to a destination device as a packaged file over a computer network. The destination device receives the packaged file from the origination location and executes the viewer application with the image files and the data sets by opening the packaged file alone, without the need to run any other imaging/viewer application at the destination device. The viewer application has image viewing panes, an annotation tool, and image manipulation tools.
摘要翻译：用于分发图像的系统创建包含与图像查看器应用程序捆绑在一起的图像文件和相应数据集的自给自足的自我一致的医学成像和其他医疗信息传输文件。医学图像和数据传输文件使用对象序列化准备，并包含反序列化应用程序。传输文件在起始位置创建，并通过计算机网络作为打包文件传输到目标设备。目的地设备从起始位置接收打包的文件，并通过单独打开打包文件来执行具有图像文件和数据集的查看器应用，而不需要在目的地设备上运行任何其它成像/查看器应用。查看器应用程序具有图像查看窗格，注释工具和图像处理工具。

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