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公开(公告)号：US11969265B2
公开(公告)日：2024-04-30
申请号：US16975910
申请日：2019-03-04
申请人： THE MEDICAL COLLEGE OF WISCONSIN, INC. , New York Society for the Relief of the Ruptured and Crippled, Maintaining the Hospital for Special Surgery
发明人： Kevin M. Koch , Andrew S. Nencka , Robin A. Karr , Bradley J. Swearingen , Hollis Potter , Matthew F. Koff
IPC分类号： A61B5/00 , A61B5/055 , G06F18/213 , G06F18/24 , G06N3/045 , G06N3/088 , G06T7/00 , G06T7/11 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70
CPC分类号： A61B5/7267 , A61B5/055 , A61B5/4504 , A61B5/4851 , G06F18/213 , G06F18/24 , G06N3/045 , G06N3/088 , G06T7/0012 , G06T7/11 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70 , A61B2576/02 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30008
摘要： Systems and methods for training and implementing a machine learning algorithm to generate feature maps depicting spatial patterns of features associated with osteolysis, synovitis, or both. MRI data, including multispectral imaging data, are input to the trained machine learning algorithm to generate the feature maps, which may indicate features such as a location and probability of a pathology classification, a severity of synovitis, a type of synovitis, a synovial membrane thickness, and other features associated with osteolysis or synovitis. In some implementations, synovial anatomy are segmented in the MRI data before inputting the MRI data to the machine learning algorithm. These segmented MRI data may be generated using another trained machine learning algorithm.
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公开(公告)号：US11600379B2
公开(公告)日：2023-03-07
申请号：US16931069
申请日：2020-07-16
摘要： Aneurysms are classified and quantitatively analyzed based on medical image data acquired from a subject. In general, one or more algorithms are implemented to automatically classify, or otherwise diagnose, and measure aneurysms and their change over time. These algorithms make use of artificial intelligence and deep learning to develop quantitative analytics that can be consolidated into diagnostic reports.
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公开(公告)号：US11372066B2
公开(公告)日：2022-06-28
申请号：US16968534
申请日：2019-02-07
发明人： Kevin M. Koch , Andrew S. Nencka , Juan Liu
摘要： Systems and methods for quantitative susceptibility mapping (“QSM”) using magnetic resonance imaging (“MRI”) are described. Localized magnetic field information is used when performing the inversion to compute quantitative susceptibility maps. The localized magnetic field information can include multi-resolution subvolumes obtained by segmenting, or dividing, a field shift map. In some instances, a trained machine learning algorithm, such as a trained neural network, can be implemented to convert the localized magnetic field information into quantitative susceptibility data. These local susceptibility maps can be combined to form a composite quantitative susceptibility map of the imaging volume.
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公开(公告)号：US11540740B2
公开(公告)日：2023-01-03
申请号：US15312844
申请日：2015-05-20
发明人： Andrew S. Nencka , Andrzej Jesmanowicz , James S. Hyde , Eric S. Paulson , Lutfi Tugan Muftuler , Daniel Shefchik
IPC分类号： B33Y50/00 , G01R33/387 , G01R33/565 , B29C64/386 , B33Y50/02 , B33Y10/00 , G05B19/4099 , A61B5/055 , G01R33/24 , A61B5/05
摘要： Systems and methods for designing and fabricating three-dimensional objects with precisely computed material compositions for use in enhancing electromagnetic fields for magnetic resonance imaging (“MRI”) are provided. As examples, the fabricated object can be designed to reduce magnetic field inhomogeneities in the main magnetic field of an MRI system, or to reduce inhomogeneities in a transmit radio frequency (“RF”) field (i.e., a B1 field). As examples, the object can be a shim; a housing or other part of an RF coil; a medical device, such as a surgical implant; or component used in a medical device, such as a housing for an implantable medical device.
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公开(公告)号：US20210020304A1
公开(公告)日：2021-01-21
申请号：US16931069
申请日：2020-07-16
摘要： Aneurysms are classified and quantitatively analyzed based on medical image data acquired from a subject. In general, one or more algorithms are implemented to automatically classify, or otherwise diagnose, and measure aneurysms and their change over time. These algorithms make use of artificial intelligence and deep learning to develop quantitative analytics that can be consolidated into diagnostic reports.
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公开(公告)号：US20210033688A1
公开(公告)日：2021-02-04
申请号：US16968534
申请日：2018-02-07
发明人： Kevin M. Koch , Andrew S. Nencka , Juan Liu
摘要： Systems and methods for quantitative susceptibility mapping (“QSM”) using magnetic resonance imaging (“MRI”) are described. Localized magnetic field information is used when performing the inversion to compute quantitative susceptibility maps. The localized magnetic field information can include multi-resolution subvolumes obtained by segmenting, or dividing, a field shift map. In some instances, a trained machine learning algorithm, such as a trained neural network, can be implemented to convert the localized magnetic field information into quantitative susceptibility data. These local susceptibility maps can be combined to form a composite quantitative susceptibility map of the imaging volume.
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