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公开(公告)号：US20220338805A1
公开(公告)日：2022-10-27
申请号：US17240222
申请日：2021-04-26
Applicant: Wisconsin Alumni Research Foundation , AIQ SOLUTIONS, INC.
Inventor： Robert Jeraj , Victor Fernandes , Timothy Perk , Peter Ferjancic , Daniel Huff
Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the lesions have been morphologically dilated. A clustering algorithm addresses the problem of lesions separating into parts or joining together to provide a clear picture of disease progression.
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公开(公告)号：US12150776B2
公开(公告)日：2024-11-26
申请号：US17240222
申请日：2021-04-26
Applicant: Wisconsin Alumni Research Foundation , AIQ SOLUTIONS, INC.
Inventor： Robert Jeraj , Victor Fernandes , Timothy Perk , Peter Ferjancic , Daniel Huff
Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the lesions have been morphologically dilated. A clustering algorithm addresses the problem of lesions separating into parts or joining together to provide a clear picture of disease progression.
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公开(公告)号：US10445878B2
公开(公告)日：2019-10-15
申请号：US15590548
申请日：2017-05-09
Applicant: Wisconsin Alumni Research Foundation
Inventor： Robert Jeraj , Tyler Bradshaw , Timothy Perk
Abstract: A standardized skeleton template is used to normalize medical image data of the skeleton to eliminate variations in the medical image data related to physiological variations in a normal patient thereby better accentuating disease conditions.
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公开(公告)号：US20160100795A1
公开(公告)日：2016-04-14
申请号：US14886835
申请日：2015-10-19
Applicant: Wisconsin Alumni Research Foundation
Inventor： Robert Jeraj , Glenn Liu
CPC classification number: A61B5/4848 , A61B5/0035 , A61B5/055 , A61B5/7275 , A61B5/742 , A61B6/032 , A61B6/037 , A61B6/12 , A61B6/461 , A61B6/469 , A61B6/505 , A61B8/48 , A61B8/5223 , G06F19/00 , G06T7/0012 , G06T7/12 , G06T7/136 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/20036 , G06T2207/30096
Abstract: A sensitive method of assessing treatment using molecular and anatomical imaging scans provides automatic tumor identification and quantification within anatomical zones based on treatment criteria. Absolute or comparative measures of tumors in pre- and/or post-scans are thereby isolated from other tissue to accentuate the progress of the treatment when multiple scattered disease lesions are present.
Abstract translation: 使用分子和解剖成像扫描评估治疗的敏感方法基于治疗标准提供解剖区域内的自动肿瘤鉴定和定量。 因此，扫描前和/或扫描后的肿瘤的绝对或比较测量与其他组织分离，以突出存在多个分散的疾病病变时的治疗进展。
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公开(公告)号：US11918374B2
公开(公告)日：2024-03-05
申请号：US17236715
申请日：2021-04-21
Applicant: Wisconsin Alumni Research Foundation , AIQ Solutions
Inventor： Robert Jeraj , Daniel Huff , Timothy Perk , Stephen Yip , Glenn Liu
CPC classification number: A61B5/4848 , G06T7/0012 , G16H30/40 , G16H50/30 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20081 , G06T2207/20084 , G06T2207/30096
Abstract: A system for monitoring organ health during treatment for cancer and the like makes use of physiological imaging of the kind used for treatment monitoring and organ-specific processing to provide a comprehensive assessment of treatment side-effects.
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Patent Agency Ranking
公开(公告)号：US20180330495A1
公开(公告)日：2018-11-15
申请号：US15590548
申请日：2017-05-09
Applicant: Wisconsin Alumni Research Foundation
Inventor： Robert Jeraj , Tyler Bradshaw , Timothy Perk
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T5/008 , G06T2207/10072 , G06T2207/20012 , G06T2207/30008 , G06T2207/30096
Abstract: A standardized skeleton template is used to normalize medical image data of the skeleton to eliminate variations in the medical image data related to physiological variations in a normal patient thereby better accentuating disease conditions.
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公开(公告)号：US12260941B2
公开(公告)日：2025-03-25
申请号：US17885054
申请日：2022-08-10
Applicant: Wisconsin Alumni Research Foundation
Inventor： Robert Jeraj , Daniel Tyler Huff
IPC: G16H20/00 , G06F3/04842 , G16H50/30
Abstract: A tool for assessing treatment options within a risk-benefit space (plotting risk against benefit) and provides a superimposed boundary indicating patient risk-benefit preference for assessment of these options. The patient risk-benefit preference can be used to identify a preferred treatment option, and interactive controls can be provided to change risk-benefit preference, risk categories, benefit categories, disease type, and the like.
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公开(公告)号：US20240341711A1
公开(公告)日：2024-10-17
申请号：US18298468
申请日：2023-04-11
Applicant: Wisconsin Alumni Research Foundation
Inventor： Robert Jeraj , Victor Fernandes
CPC classification number: A61B6/5217 , G06T7/0012 , G06T2207/30096
Abstract: A method and apparatus for tracking disease progression as revealed by multiple lesions matches lesions between time-separated scans of a patient through a global process which assesses overlap between all pairs in the scan sequence and links lesion in different images to maximize overlap globally.
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9.发明授权System and method for gradient assisted non-connected automatic region (GANAR) analysis 有权梯度辅助非连接自动区域（GANAR）分析的系统和方法公开(公告)号：US09355447B2
公开(公告)日：2016-05-31
申请号：US13971913
申请日：2013-08-21
Applicant: Wisconsin Alumni Research Foundation
Inventor： Paulina E. Galavis , Bhudatt Paliwal , James Holden , Robert Jeraj
CPC classification number: G06T7/0012 , A61N5/103 , G06T7/11 , G06T7/155 , G06T7/194 , G06T7/41 , G06T2207/10104 , G06T2207/10108 , G06T2207/30016 , G06T2207/30096
Abstract: A system and method for analyzing medical images of a subject includes acquiring the medical images of the subject and texture images. A computer system determines, using the medical images and the texture feature images, a plurality of segmentation surfaces by iteratively adjusting a relationship between a region growing algorithm that selects a region of interest (ROI) to determine a given segmentation surface and cost function for evaluating the given segmentation surface. The computer system generates a report using the plurality of segmentation surfaces indicating at least boundaries between anatomical structures with functional differences in the medical images.
Abstract translation: 用于分析对象的医学图像的系统和方法包括获取对象的医学图像和纹理图像。 计算机系统通过迭代地调整选择感兴趣区域（ROI）的区域增长算法之间的关系来确定使用医学图像和纹理特征图像多个分割表面，以确定给定的分割表面和用于评估的成本函数 给定的分割表面。 计算机系统使用多个分割表面生成报告，所述多个分割表面至少指示解剖结构与医学图像中的功能差异之间的边界。
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10.发明申请System and method for gradient assisted non-connected automatic Region (GANAR) analysis 有权梯度辅助非连接自动区域（GANAR）分析系统和方法公开(公告)号：US20150055849A1
公开(公告)日：2015-02-26
申请号：US13971913
申请日：2013-08-21
Applicant: Wisconsin Alumni Research Foundation
Inventor： Paulina E. Galavis , Bhudatt Paliwal , James Holden , Robert Jeraj
CPC classification number: G06T7/0012 , A61N5/103 , G06T7/11 , G06T7/155 , G06T7/194 , G06T7/41 , G06T2207/10104 , G06T2207/10108 , G06T2207/30016 , G06T2207/30096
Abstract: A system and method for analyzing medical images of a subject includes acquiring the medical images of the subject and texture images. A computer system determines, using the medical images and the texture feature images, a plurality of segmentation surfaces by iteratively adjusting a relationship between a region growing algorithm that selects a region of interest (ROI) to determine a given segmentation surface and cost function for evaluating the given segmentation surface. The computer system generates a report using the plurality of segmentation surfaces indicating at least boundaries between anatomical structures with functional differences in the medical images.
Abstract translation: 用于分析对象的医学图像的系统和方法包括获取对象的医学图像和纹理图像。 计算机系统通过迭代地调整选择感兴趣区域（ROI）的区域增长算法之间的关系来确定使用医学图像和纹理特征图像多个分割表面，以确定给定的分割表面和用于评估的成本函数 给定的分割表面。 计算机系统使用多个分割表面生成报告，所述多个分割表面至少指示解剖结构与医学图像中的功能差异之间的边界。
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