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公开(公告)号：US20160070709A1
公开(公告)日：2016-03-10
申请号：US14849227
申请日：2015-09-09
Applicant: STC.UNM
Inventor： Shuang Luan , Abdullah Mueen , Michalis Faloutsos , Amanda J. Minnich
IPC: G06F17/30
CPC classification number: G06Q30/0282
Abstract: Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.
Abstract translation: 使用同一产品或服务（例如酒店，餐馆，诊所，发廊等）的多个评论来源来提供可信度得分。 这样的分数可以清楚地识别具有审查操作，遗漏和虚假的证据的酒店，并向用户全面了解产品或机构的审查。 在计算分数时使用三种类型的信息：空间，时间和网络或基于图形。 信息被混合以产生可靠地产生可信度得分的代表性特征集合。 本发明适应新的评论和网站。 本发明还包括通过采购和假审查生成的验证机制，以确保得分的可靠性和可信度。
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公开(公告)号：US20180111006A1
公开(公告)日：2018-04-26
申请号：US15843706
申请日：2017-12-15
Applicant: STC.UNM
Inventor： Shuang Luan , Daniel Andres Riofrio Almeida
CPC classification number: A61N5/1031 , A61N5/10 , A61N5/1001 , A61N5/1007 , A61N5/103 , A61N5/1084 , A61N2005/101 , A61N2005/1024 , A61N2005/1034 , G06F19/325 , G06N3/006 , G16H20/40
Abstract: An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.
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公开(公告)号：US09844684B2
公开(公告)日：2017-12-19
申请号：US15304306
申请日：2015-04-30
Applicant: STC.UNM
Inventor： Shuang Luan , Daniel Andres Riofrio Almeida
CPC classification number: A61N5/1031 , A61N5/10 , A61N5/1001 , A61N5/1007 , A61N5/103 , A61N5/1084 , A61N2005/101 , A61N2005/1024 , A61N2005/1034 , G06F19/00 , G06F19/325 , G06N3/006 , G16H20/40
Abstract: An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.
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公开(公告)号：US10248764B2
公开(公告)日：2019-04-02
申请号：US15721277
申请日：2017-09-29
Applicant: STC.UNM
Inventor： Roy William Keyes , Christian Romano , Shuang Luan , Dorian C. Arnold
Abstract: A method of calculating radiation fluence and energy deposition distributions on a networked virtual computational cluster is presented. With this method, complex Monte Carlo simulations that require expansive equipment, personnel, and financial resources can be done efficiently and inexpensively by hospitals and clinics requiring radiation therapy dose calculations.
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公开(公告)号：US09630023B2
公开(公告)日：2017-04-25
申请号：US14107541
申请日：2013-12-16
Applicant: STC.UNM
Inventor： Shuang Luan , Nathan Swanson , Lijun Ma
CPC classification number: A61N5/1031 , A61B34/10 , A61B90/10 , A61B2090/101 , A61N5/103 , A61N5/1042 , A61N5/1084
Abstract: The present invention is a method and system for developing a dynamic scheme for Gamma Knife radiosurgery based on the concept of “dose-painting” to take advantage of robotic patient positioning systems on the Gamma Knife C and Perfexion units. The spherical high dose volume created by the Gamma Knife unit will be viewed as a 3D spherical “paintbrush”, and treatment planning is reduced to finding the best route of this “paintbrush” to “paint” a 3D tumor volume. Under the dose-painting concept, Gamma Knife radiosurgery becomes dynamic, where the patient is moving continuously under the robotic positioning system.
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Patent Agency Ranking
公开(公告)号：US20140107394A1
公开(公告)日：2014-04-17
申请号：US14107541
申请日：2013-12-16
Applicant: STC.UNM
Inventor： Shuang Luan , Nathan Swanson , Lijun Ma
IPC: A61N5/10
CPC classification number: A61N5/1031 , A61B34/10 , A61B90/10 , A61B2090/101 , A61N5/103 , A61N5/1042 , A61N5/1084
Abstract: The present invention is a method and system for developing a dynamic scheme for Gamma Knife radiosurgery based on the concept of “dose-painting” to take advantage of robotic patient positioning systems on the Gamma Knife C and Perfexion units. The spherical high dose volume created by the Gamma Knife unit will be viewed as a 3D spherical “paintbrush”, and treatment planning is reduced to finding the best route of this “paintbrush” to “paint” a 3D tumor volume. Under the dose-painting concept, Gamma Knife radiosurgery becomes dynamic, where the patient is moving continuously under the robotic positioning system.
Abstract translation: 本发明是基于“剂量绘画”的概念，利用伽玛刀C和Perfexion单元上的机器人患者定位系统开发伽玛刀放射外科手术的动态方案和系统。 由伽玛刀单元创建的球形高剂量体积将被视为3D球形“画笔”，并且减少治疗计划以找到该“画笔”最佳路线来“绘制”3D肿瘤体积。 在剂量绘画概念下，伽玛刀放射外科手术变得动态，病人在机器人定位系统下连续移动。
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公开(公告)号：US10089660B2
公开(公告)日：2018-10-02
申请号：US14849227
申请日：2015-09-09
Applicant: STC.UNM
Inventor： Shuang Luan , Abdullah Mueen , Michalis Faloutsos , Amanda J. Minnich
IPC: G06Q30/02
Abstract: Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.
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公开(公告)号：USRE46953E1
公开(公告)日：2018-07-17
申请号：US14020500
申请日：2013-09-06
Inventor： Cedric X. Yu , Shuang Luan , Danny Z. Chen , Matthew A. Earl , Chao Wang
Abstract: Provided herein are methods and systems for designing a radiation treatment for a subject using single arc dose painting. The methods and systems comprise an algorithm or a computer-readable product having the same, to plan the radiation treatment. The algorithm converts pairs of multiple leaf collimation (MLC) leaves to sets of leaf aperture sequences that form a shortest path single arc thereof where the pairs of MLC leaves each aligned to an intensity profile of densely-spaced radiation beams, and connects each single arc of leaf apertures to form a final treatment single arc. Also provided is a method for irradiating a tumor in a subject using single arc dose painting.
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公开(公告)号：US20180025131A1
公开(公告)日：2018-01-25
申请号：US15721277
申请日：2017-09-29
Applicant: STC.UNM
Inventor： Roy William Keyes , Christian Romano , Shuang Luan , Dorian C. Arnold
CPC classification number: G06F19/3481 , G06F9/5083 , G06F19/00 , G16H50/50
Abstract: A method of calculating radiation fluence and energy deposition distributions on a networked virtual computational cluster is presented. With this method, complex Monte Carlo simulations that require expansive equipment, personnel, and financial resources can be done efficiently and inexpensively by hospitals and clinics requiring radiation therapy dose calculations.
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公开(公告)号：US09827446B2
公开(公告)日：2017-11-28
申请号：US15388201
申请日：2016-12-22
Applicant: STC.UNM , THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Shuang Luan , Lijun Ma , Zhe Chen
CPC classification number: A61N5/1084 , A61B6/4085 , A61N5/10 , A61N5/1031 , A61N5/1065 , A61N5/1067 , A61N5/1071 , A61N5/1081 , A61N2005/1074
Abstract: Photon-based radiosurgery is widely used for treating local and regional tumors. The key to improving the quality of radiosurgery is to increase the dose falloff rate from high dose regions inside the tumor to low dose regions of nearby healthy tissues and structures. Dynamic photon painting (DPP) further increases dose falloff rate by treating a target by moving a beam source along a dynamic trajectory, where the speed, direction and even dose rate of the beam source change constantly during irradiation. DPP creates dose gradient that rivals proton Bragg Peak and outperforms Gamma Knife® radiosurgery.
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