- 专利标题: System, method and computer-accessible medium for detecting structural disorder(s) using magnetic resonance imaging
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申请号: US17347948申请日: 2021-06-15
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公开(公告)号: US12100121B2公开(公告)日: 2024-09-24
- 发明人: Jia Guo , Scott A. Small
- 申请人: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
- 申请人地址: US NY New York
- 专利权人: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
- 当前专利权人: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
- 当前专利权人地址: US NY New York
- 代理机构: Hunton Andrews Kurth LLP
- 主分类号: G06T5/00
- IPC分类号: G06T5/00 ; G06T5/50 ; G16H30/20 ; G16H30/40 ; G16H50/20 ; G16H50/50
摘要:
An exemplary system, method, and computer-accessible medium for detection of structural disorder(s) of patient(s) can be provided which can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), generating gadolinium (“Gd”) enhanced map(s) based on the MRI information using a machine learning procedure(s), and detecting the structural disorder(s) of the patient(s) based on a GD contrast of the Gd enhanced map(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map. The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), or (ii) a Gd-free MRI scan(s). The Gd contrast can be generated in the Gd enhanced map(s) using a T2-weighted MRI image of the portion(s). Structural disorder(s) can include Stroke, tumor, trauma, infection, Multiple sclerosis and/or other inflammatory disease.
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