Patents by Inventor Yaorong Ge
Yaorong Ge has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11583698Abstract: According to an aspect, a method includes receiving data about a patient, computing geometric characterization of one or more organs at risk proximate to a target volume of a patient or vice versa, and selecting relevant treatment knowledge and experience. The method also includes generating, based on the received data, computed geometric characterization, and available knowledge and experience, a first set of radiation treatment planning parameters that will lead to a high quality plan for the patient. Further, the method includes model-based prediction, based on the data, a second set or more of radiation treatment planning parameters that will lead to alternative achievable plans with different organ sparing objectives for treating the patient. The multiple sets for parameters can be used separately or in conjunction to generate treatment plans.Type: GrantFiled: October 18, 2019Date of Patent: February 21, 2023Assignees: Wake Forest University Health Sciences, Duke UniversityInventors: Fang-Fang Yin, Qingrong Jackie Wu, Lulin Yuan, Yaorong Ge
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Patent number: 11443842Abstract: Systems and methods for efficient and automatic determination of radiation beam configurations for patient-specific radiation therapy planning are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient. The method includes determining automatically one or more radiation treatment beam configuration sets. Further, the method includes presenting the determined one or more radiation beam configuration sets via a user interface.Type: GrantFiled: December 19, 2019Date of Patent: September 13, 2022Assignees: Duke University, The University of North Carolina at CharlotteInventors: Qingrong Jackie Wu, Yaorong Ge, Fang-Fang Yin, Lulin Yuan
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Publication number: 20220241614Abstract: A radiation treatment planning system can include a machine learning system that receives patient data, including an image scan (e.g., CT scan) and contour(s), a physician prescription, including planning target and dose, and device (radiation beam) data and outputs predicted fluence maps. The machine learning system includes at least two stages, where a stage of the at least two stages includes converting image scans from the patient data to projection images. A treatment planning system can receive the predicted fluence maps and generates treatment plans without performing inverse optimization.Type: ApplicationFiled: February 1, 2022Publication date: August 4, 2022Applicant: The University of North Carolina at CharlotteInventors: Qingrong Wu, Yaorong Ge, Fang-Fang Yin, Qiuwen Wu, Chunhao Wang, Yang Sheng, Xinyi Li, Wentao Wang
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Patent number: 11358004Abstract: Systems and methods for radiation treatment planning based on a model of planning strategies knowledge including treatment states and treatment actions are disclosed. According to an aspect, a method includes receiving geometric characterization data of a target volume for radiation treatment of a patient. The method also includes receiving geometric characterization data of at least one organ at risk proximate the target volume. Further, the method includes constructing a model for applying a predetermined radiation dosage to the target volume based on the received data. The model includes treatment states and associated treatment actions selectable to implement at each state. The method includes presenting information about at least one treatment state, the treatment actions associated with the at least one treatment state, and the rewards associated with the treatment actions associated with the at least one treatment state. The method also includes reconstructing the model.Type: GrantFiled: May 11, 2020Date of Patent: June 14, 2022Assignees: Duke University, The University of North Carolina at CharlotteInventors: Qingrong Wu, Yaorong Ge, FangFang Yin, Chunhao Wang, Jiahan Zhang, Manisha Palta, Yang Sheng
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Patent number: 11065471Abstract: Systems and methods for automatic, customized radiation treatment plan generation for cancer are disclosed. According to an aspect, a method includes receiving data indicating anatomy information of a patient and radiation beam characteristics of a radiation therapy system. Further, the method includes determining energy levels for application of radiation beams to the patient.Type: GrantFiled: November 21, 2016Date of Patent: July 20, 2021Assignees: Duke University, The University of North Carolina at CharlotteInventors: Qingrong Jackie Wu, Yaorong Ge, Taoran Li, Fang-Fang Yin, Yang Sheng
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Publication number: 20210012878Abstract: Systems and methods for radiation treatment planner training based on knowledge data and trainee input of planning actions are disclosed. According to an aspect, a method includes receiving case data including anatomical and/or geometric characterization data of a target volume and one or more organs at risk. Further, the method includes presenting, via a user interface, the case data to a trainee. The method also includes receiving input indicating an action to apply to the case. The input indicating parameters for generating a treatment plan that applies radiation dose to the target volume and one or more parameters for constraining radiation to the one or more organs at risk. The method includes applying training models to the action and the case data to generate analysis data of at least one parameter of the action. The method includes presenting the analysis data of the at least one parameter of the action.Type: ApplicationFiled: July 10, 2020Publication date: January 14, 2021Inventors: Qingrong Wu, Yaorong Ge, Fang Fang Yin, Matthew Mistro, Yang Sheng, Christopher Kelsey, Joseph Salama
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Publication number: 20200353286Abstract: Systems and methods for radiation treatment planning based on a model of planning strategies knowledge including treatment states and treatment actions are disclosed. According to an aspect, a method includes receiving geometric characterization data of a target volume for radiation treatment of a patient. The method also includes receiving geometric characterization data of at least one organ at risk proximate the target volume. Further, the method includes constructing a model for applying a predetermined radiation dosage to the target volume based on the received data. The model includes treatment states and associated treatment actions selectable to implement at each state. The method includes presenting information about at least one treatment state, the treatment actions associated with the at least one treatment state, and the rewards associated with the treatment actions associated with the at least one treatment state.Type: ApplicationFiled: May 11, 2020Publication date: November 12, 2020Inventors: Qingrong Wu, Yaorong Ge, FangFang Yin, Chunhao Wang, Jiahan Zhang, Manisha Palta, Yang Sheng
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Publication number: 20200254275Abstract: Systems and methods for automatic, customized radiation treatment plan generation for cancer are disclosed. According to an aspect, a method includes receiving data indicating anatomy information of a patient and radiation beam characteristics of a radiation therapy system. Further, the method includes determining energy levels for application of radiation beams to the patient.Type: ApplicationFiled: November 21, 2016Publication date: August 13, 2020Inventors: Qingrong Jackie Wu, Yaorong Ge, Taoran Li, Fang-Fang Yin, Yang Sheng
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Publication number: 20200121950Abstract: Systems and methods for efficient and automatic determination of radiation beam configurations for patient-specific radiation therapy planning are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient. The method includes determining automatically one or more radiation treatment beam configuration sets. Further, the method includes presenting the determined one or more radiation beam configuration sets via a user interface.Type: ApplicationFiled: December 19, 2019Publication date: April 23, 2020Inventors: Qingrong Jackie Wu, Yaorong Ge, Fang-Fang Yin, Lulin Yuan
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Publication number: 20200108276Abstract: Disclosed herein are systems and methods for specifying treatment criteria and treatment planning parameters for patient specific radiation therapy planning. According to an aspect, a method includes receiving data about a patient, computing geometric characterization of one or more organs at risk proximate to a target volume of a patient or vice versa, and selecting relevant treatment knowledge and experience. The method also includes generating, based on the received data, computed geometric characterization, and available knowledge and experience, a first set of radiation treatment planning parameters that will lead to a high quality plan for the patient. Further, the method includes model-based prediction, based on the data, a second set or more of radiation treatment planning parameters that will lead to alternative achievable plans with different organ sparing objectives for treating the patient. The multiple sets for parameters can be used separately or in conjunction to generate treatment plans.Type: ApplicationFiled: October 18, 2019Publication date: April 9, 2020Inventors: Fang-Fang Yin, Qingrong Jackie Wu, Lulin Yuan, Yaorong Ge
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Patent number: 10549121Abstract: Systems and methods for efficient and automatic determination of radiation beam configurations for patient-specific radiation therapy planning are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient. The method includes determining automatically one or more radiation treatment beam configuration sets. Further, the method includes presenting the determined one or more radiation beam configuration sets via a user interface.Type: GrantFiled: March 7, 2016Date of Patent: February 4, 2020Assignees: Duke University, The University of North Carolina at CharlotteInventors: Qingrong Jackie Wu, Yaorong Ge, Fang-Fang Yin, Lulin Yuan
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Patent number: 10449388Abstract: Disclosed herein are systems and methods for specifying treatment criteria and treatment planning parameters for patient specific radiation therapy planning. According to an aspect, a method includes receiving data about a patient, computing geometric characterization of one or more organs at risk proximate to a target volume of a patient or vice versa, and selecting relevant treatment knowledge and experience. The method also includes generating, based on the received data, computed geometric characterization, and available knowledge and experience, a first set of radiation treatment planning parameters that will lead to a high quality plan for the patient. Further, the method includes model-based prediction, based on the data, a second set or more of radiation treatment planning parameters that will lead to alternative achievable plans with different organ sparing objectives for treating the patient. The multiple sets for parameters can be used separately or in conjunction to generate treatment plans.Type: GrantFiled: June 18, 2014Date of Patent: October 22, 2019Assignees: Duke University, Wake Forest University Health SciencesInventors: Fang-Fang Yin, Qingrong Jackie Wu, Lulin Yuan, Yaorong Ge
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Publication number: 20180043184Abstract: Systems and methods for efficient and automatic determination of radiation beam configurations for patient-specific radiation therapy planning are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient. The method includes determining automatically one or more radiation treatment beam configuration sets. Further, the method includes presenting the determined one or more radiation beam configuration sets via a user interface.Type: ApplicationFiled: March 7, 2016Publication date: February 15, 2018Inventors: Qingrong Jackie Wu, Yaorong Ge, Fang-Fang Yin, Lulin Yuan
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Publication number: 20180043182Abstract: Systems and methods for automated radiation treatment planning with decision support are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk and a cancer target of a patient. The method also includes determining the appropriate models and model settings for the given patient case. Further, the method includes generating automatically one or more radiation treatment plans using the proper models learned from a plurality of radiation treatment plans of prior patient cases based on certain relationships, including one of a match or similarity, between the patient information and geometric characterization of the patient and the other patients. The method also includes presenting the determined one or more radiation treatment plans via a user interface.Type: ApplicationFiled: March 7, 2016Publication date: February 15, 2018Inventors: Qingrong Jackie Wu, Yaorong Ge, Fang-Fang Yin, Lulin Yuan, Yang Sheng, Taoran Li, Jianfei Liu
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Publication number: 20160129282Abstract: Disclosed herein are systems and methods for specifying treatment criteria and treatment planning parameters for patient specific radiation therapy planning. According to an aspect, a method includes receiving data about a patient, computing geometric characterization of one or more organs at risk proximate to a target volume of a patient or vice versa, and selecting relevant treatment knowledge and experience. The method also includes generating, based on the received data, computed geometric characterization, and available knowledge and experience, a first set of radiation treatment planning parameters that will lead to a high quality plan for the patient. Further, the method includes model-based prediction, based on the data, a second set or more of radiation treatment planning parameters that will lead to alternative achievable plans with different organ sparing objectives for treating the patient. The multiple sets for parameters can be used separately or in conjunction to generate treatment plans.Type: ApplicationFiled: June 18, 2014Publication date: May 12, 2016Applicant: DUKE UNIVERSITYInventors: Fang-Fang Yin, Qingrong Jackie Wu, Lulin Yuan, Yaorong Ge
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Patent number: 8976929Abstract: An apparatus and method for automatically generating radiation treatment planning parameters are disclosed. In accordance with the illustrative embodiment, a database is constructed that stores: (i) patient data and past treatment plans by expert human planners for these patients, and (ii) optimal treatment plans that are generated using multi-objective optimization and Pareto front search and that represent the best tradeoff opportunities of the patient case, and a predictive model (e.g., a neural network, a decision tree, a support vector machine [SVM], etc.) is then trained via a learning algorithm on a plurality of input/output mappings derived from the contents of the database. During training, the predictive model is trained to identify and infer patterns in the treatment plan data through a process of generalization. Once trained, the predictive model can then be used to automatically generate radiation treatment planning parameters for new patients.Type: GrantFiled: July 18, 2011Date of Patent: March 10, 2015Assignee: Duke UniversityInventors: Qingrong Jackie Wu, Yaorong Ge, Fang-Fang Yin, Xiaofeng Zhu
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Patent number: 8682045Abstract: A system, and computer implemented method are provided for interactively displaying three-dimensional structures. Three-dimensional volume data (34) is formed from a series of two-dimensional images (33) representing at least one physical property associated with the three-dimensional structure, such as a body organ having a lumen. A wire frame model of a selected region of interest is generated (38b). The wireframe model is then deformed or reshaped to more accurately represent the region of interest (40b). Vertices of the wire frame model may be grouped into regions having a characteristic indicating abnormal structure, such as a lesion. Finally, the deformed wire frame model may be rendered in an interactive three-dimensional display.Type: GrantFiled: June 29, 2010Date of Patent: March 25, 2014Assignee: Wake Forest University Health SciencesInventors: David J. Vining, Gordon W. Hunt, David K. Ahn, David R. Stelts, Yaorong Ge, Paul F. Hemler, Tiffany W. Salido
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Patent number: 8320651Abstract: A method and system are provided to report the findings of an expert's analysis of image data. The method and system are based on a reporting system that forms the basis of an image management system that can efficiently and systematically generate image reports, facilitate data entry into searchable databases for data mining, and expedite billing and collections for the expert's services. The expert identifies a significant finding on an image and attaches a location:description code to the location of that finding in order to create a significant finding and an entry into a database. Further descriptions of that finding, such as dimensional measurements, may be automatically appended to the finding as secondary attributes. After the evaluation, the system sorts the findings in the database and presents the findings by prioritized categories. The expert edits and approves a multimedia report which may be delivered by electronic means to an end-user.Type: GrantFiled: August 5, 2011Date of Patent: November 27, 2012Assignee: Wake Forest University Health SciencesInventors: David J. Vining, Yaorong Ge, David K. Ahn, David R. Stelts
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Patent number: 8275446Abstract: A computer system and a computer-implemented method are provided for interactively displaying a three-dimensional rendering of a structure having a lumen and for indicating regions of abnormal wall structure. A three-dimensional volume of data is formed from a series of two-dimensional images representing at least one physical property associated with the three-dimensional structure. An isosurface of a selected region of interest is created by a computer from the volume of data based on a selected value or values of a physical property representing the selected region of interest. A wireframe model of the isosurface is generated by the computer wherein the wireframe model includes a plurality of vertices. The vertices are then grouped into populations of contiguous vertices having a characteristic indicating abnormal wall structure by the computer. The wireframe model is then rendered by the computer in an interactive three-dimensional display to indicate the populations of abnormal wall structure.Type: GrantFiled: December 14, 2010Date of Patent: September 25, 2012Assignee: Wake Forest University Health SciencesInventors: David J. Vining, Gordon W. Hunt, David K. Ahn, David R. Stelts, Yaorong Ge, Paul F. Hemler, Tiffany W. Salido
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Publication number: 20120033871Abstract: A method and system are provided to report the findings of an expert's analysis of image data. The method and system are based on a reporting system that forms the basis of an image management system that can efficiently and systematically generate image reports, facilitate data entry into searchable databases for data mining, and expedite billing and collections for the expert's services. The expert identifies a significant finding on an image and attaches a location:description code to the location of that finding in order to create a significant finding and an entry into a database. Further descriptions of that finding, such as dimensional measurements, may be automatically appended to the finding as secondary attributes. After the evaluation, the system sorts the findings in the database and presents the findings by prioritized categories. The expert edits and approves a multimedia report which may be delivered by electronic means to an end-user.Type: ApplicationFiled: August 5, 2011Publication date: February 9, 2012Inventors: David J. Vining, Yaorong Ge, David K. Ahn, David R. Stelts