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1. 发明申请

US20210334963A1 METHOD AND SYSTEM FOR ASSESSING VESSEL OBSTRUCTION BASED ON MACHINE LEARNING 有权
公开(公告)号：US20210334963A1
公开(公告)日：2021-10-28
申请号：US17317746
申请日：2021-05-11
申请人： Pie Medical Imaging B.V.
发明人： Ivana Isgum , Majd Zreik , Tim Leiner , Jean-Paul Aben
IPC分类号： G06T7/00 , A61B6/00 , G06K9/00 , G16H50/50 , G16H30/40 , G06T7/10 , G06K9/62 , G06N3/08
摘要： Methods and systems are provided for assessing the presence of functionally significant stenosis in one or more coronary arteries, further known as a severity of vessel obstruction. The methods and systems can implement a prediction phase that comprises segmenting at least a portion of a contrast enhanced volume image data set into data segments corresponding to wall regions of the target organ, and analyzing the data segments to extract features that are indicative of an amount of perfusion experiences by wall regions of the target organ. The methods and systems can obtain a feature-perfusion classification (FPC) model derived from a training set of perfused organs, classify the data segments based on the features extracted and based on the FPC model, and provide, as an output, a prediction indicative of a severity of vessel obstruction based on the classification of the features.

2. 发明申请

US20200222018A1 Methods and Systems for Dynamic Coronary Roadmapping 审中-公开
公开(公告)号：US20200222018A1
公开(公告)日：2020-07-16
申请号：US16739718
申请日：2020-01-10
申请人： Pie Medical Imaging B.V.
发明人： Theo van Walsum , Hua Ma , Jean-Paul Aben , Dennis Koehn
IPC分类号： A61B6/00 , A61B6/03 , A61B5/00 , A61B5/0452 , G16H30/40 , G16H30/20 , G06T7/73 , G06T7/00
摘要： Methods are provided for dynamically visualizing information in image data of an object of interest of a patient, which include an offline phase and an online phase. In the offline phase, first image data of the object of interest acquired with a contrast agent is obtained with an interventional device is present in the first image data. The first image data is used to generate a plurality of roadmaps of the object of interest. A plurality of reference locations of the device in the first image data is determined, wherein the plurality of reference locations correspond to the plurality of roadmaps. In the online phase, live image data of the object of interest acquired without a contrast agent is obtained with the device present in the live image data, and a roadmap is selected from the plurality of roadmaps. A location of the device in the live image data is determined. The reference location of the device corresponding to the selected roadmap and the location of the device in the live image data is used to transform the selected roadmap to generate a dynamic roadmap of the object of interest. A visual representation of the dynamic roadmap is overlaid on the live image data for display. In embodiments, the first image data of the offline phase covers different of phases of the cardiac cycle of the patient, and the plurality of roadmaps generated in the offline phase covers the different phases of the patient's cardiac cycle. Related systems and program storage devices are also described and claimed.

3. 发明申请

US20190380593A1 Method and Apparatus for Quantitative Hemodynamic Flow Analysis 审中-公开
公开(公告)号：US20190380593A1
公开(公告)日：2019-12-19
申请号：US16438955
申请日：2019-06-12
申请人： Pie Medical Imaging B.V.
发明人： Chris Bouwman , Dennis Koehn , Jean-Paul Aben
IPC分类号： A61B5/02 , A61B5/00 , A61B5/107 , A61B5/021 , G06T11/00 , G06T7/62 , G06T7/00
摘要： Computer-implemented methods and systems are provided for quantitative hemodynamic flow analysis, which involves retrieving patient specific image data. A 3D reconstruction of a vessel of interest can be created from the patient specific image data. Geometric information can be extracted from the 3D reconstruction. A lesion position can be determined. Patient specific data can be obtained. Hemodynamic results can be calculated based on the geometric information, the lesion position and the patient specific data.

4. 发明申请

US20180032653A1 Methods and Apparatus for Quantitative Flow Analysis 审中-公开
公开(公告)号：US20180032653A1
公开(公告)日：2018-02-01
申请号：US15551162
申请日：2016-02-26
申请人： Pie Medical Imaging B.V.
发明人： Jean-Paul Aben , Chris Johannes Catharina Bouwman , Eduardo Soudah Prieto
IPC分类号： G06F17/50 , A61B6/03 , A61B6/00 , G06F19/00
CPC分类号： G06F17/5018 , A61B5/026 , A61B6/032 , A61B6/486 , A61B6/503 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B2576/023 , G06F17/5009 , G06F2217/16 , G16H50/50
摘要： Method for quantitative flow analysis of a tree of conduits perfusing an organ from at least two bi-dimensional images, the method comprising the following steps: a) making a 3D reconstruction of at least part of the tree from said at least two bi-dimensional images; b) identifying a segment of interest within the 3D reconstruction either automatically or semi-automatically upon user input; c) making calculations based on the 3D reconstruction to determine geometrical features of the conduits such as diameters, lengths, curvatures, centrelines or the like; d) receiving indication from the user to input a multi-scale functional model of the tree to be considered for the flow analysis and to input the location of the segment of interest within such model; e) adjusting the part of the functional model related to the segment of interest using geometrical features of the 3D reconstruction; f) performing quantitative flow analysis based on the functional model so obtained. A corresponding apparatus and computer program are also disclosed.

5. 发明授权

US11510587B2 Left ventricle segmentation in contrast-enhanced cine MRI datasets 有权
公开(公告)号：US11510587B2
公开(公告)日：2022-11-29
申请号：US16167152
申请日：2018-10-22
申请人： Pie Medical Imaging B.V.
发明人： Wisnumurti Kristanto , Jean-Paul Aben
IPC分类号： G06K9/00 , A61B5/055 , G06T7/00 , G06T7/174 , G06T7/11 , G01R33/56 , G06V10/26 , G06V10/75 , G06T7/136 , G06T7/149 , G01R33/563
摘要： A method for delineating a ventricle from MRI data relating to the heart of a patient, the method comprising: a) providing a contrast-enhanced cine MRI dataset; b) providing one or more additional MRI datasets; c) segmenting one or more features on the additional MRI dataset or datasets; d) mapping the segmented features to the contrast-enhanced cine MRI dataset; and e) using the segmented features as mapped in step d) to assist segmentation of the ventricle on the contrast-enhanced cine MRI dataset. A corresponding device and computer program are also disclosed.

6. 发明申请

US20220125398A1 METHOD AND SYSTEM FOR CHARACTERIZING VALVULAR REGURGITATION/INSUFFICIENCY FROM SEQUENCES OF IMAGES 有权
公开(公告)号：US20220125398A1
公开(公告)日：2022-04-28
申请号：US17506180
申请日：2021-10-20
申请人： Pie Medical Imaging B.V.
发明人： Jean-Paul Aben
IPC分类号： A61B6/00 , G06K9/46 , G06T7/246 , G06T7/62 , G16H50/30 , G16H30/40
摘要： Method and systems are provided for characterizing blood flow in an atrioventricular valve of the human heart, the atrioventricular valve connecting an atrium with a corresponding ventricle of the heart, the ventricle being fluidly coupled to a particular vessel that transports blood outside the ventricle blood, which involve obtaining image data of the heart and identifying contours of the atrium and a region within the particular vessel within the image data. A time-density curve for the atrium can be calculated from the contour of the atrium and densitometric image data derived from the image data. A time-density curve for the region of the particular vessel can be calculated from the contour of the vessel region and the densitometric image data. Data that characterizes at least one regurgitation fraction related to the atrioventricular valve can be calculated from such time-density curves.

7. 发明申请

US20190333216A1 Method and System for Assessing Vessel Obstruction Based on Machine Learning 审中-公开
公开(公告)号：US20190333216A1
公开(公告)日：2019-10-31
申请号：US16508996
申请日：2019-07-11
申请人： Pie Medical Imaging B.V.
发明人： Ivana Isgum , Majd Zreik , Tim Leiner
IPC分类号： G06T7/00 , G16H30/40 , G16H50/50 , A61B6/00 , G06K9/62 , G06N3/08 , G06K9/00 , G06T7/10
摘要： Methods and systems are provided for assessing the presence of functionally significant stenosis in one or more coronary arteries, further known as a severity of vessel obstruction. The methods and systems can implement a prediction phase that comprises segmenting at least a portion of a contrast enhanced volume image data set into data segments corresponding to wall regions of the target organ, and analysing the data segments to extract features that are indicative of an amount of perfusion experiences by wall regions of the target organ. The methods and systems can obtain a feature-perfusion classification (FPC) model derived from a training set of perfused organs, classify the data segments based on the features extracted and based on the FPC model, and provide, as an output, a prediction indicative of a severity of vessel obstruction based on the classification of the features.

8. 发明申请

US20190139219A1 Method and System for Assessing Vessel Obstruction Based on Machine Learning 审中-公开
公开(公告)号：US20190139219A1
公开(公告)日：2019-05-09
申请号：US16241165
申请日：2019-01-07
申请人： Pie Medical Imaging B.V.
发明人： Ivana Isgum , Majd Zreik , Tim Leiner
IPC分类号： G06T7/00 , G06K9/62 , G06N3/08 , G06K9/00 , A61B6/00 , G06T7/10 , G16H50/50
CPC分类号： G06T7/0012 , A61B6/507 , G06K9/00214 , G06K9/6269 , G06K2209/05 , G06N3/088 , G06T7/10 , G06T2207/20081 , G06T2207/30104 , G16H30/40 , G16H50/50
摘要： Methods and systems are provided for assessing the presence of functionally significant stenosis in one or more coronary arteries, further known as a severity of vessel obstruction. The methods and systems can implement a prediction phase that comprises segmenting at least a portion of a contrast enhanced volume image data set into data segments corresponding to wall regions of the target organ, and analysing the data segments to extract features that are indicative of an amount of perfusion experiences by wall regions of the target organ. The methods and systems can obtain a feature-perfusion classification (FPC) model derived from a training set of perfused organs, classify the data segments based on the features extracted and based on the FPC model, and provide, as an output, a prediction indicative of a severity of vessel obstruction based on the classification of the features.

9. 发明申请

US20190125206A1 Left Ventricle Segmentation in Contrast-Enhanced Cine MRI Datasets 审中-公开
公开(公告)号：US20190125206A1
公开(公告)日：2019-05-02
申请号：US16167152
申请日：2018-10-22
申请人： Pie Medical Imaging B.V.
发明人： Wisnumurti Kristanto , Jean-Paul Aben
IPC分类号： A61B5/055 , G06K9/34 , G06T7/00 , G06K9/62
摘要： A method for delineating a ventricle from MRI data relating to the heart of a patient, the method comprising: a) providing a contrast-enhanced cine MRI dataset; b) providing one or more additional MRI datasets; c) segmenting one or more features on the additional MRI dataset or datasets; d) mapping the segmented features to the contrast-enhanced cine MRI dataset; and e) using the segmented features as mapped in step d) to assist segmentation of the ventricle on the contrast-enhanced cine MRI dataset. A corresponding device and computer program are also disclosed.

10. 发明授权

US10229516B2 Method and apparatus to improve a 3D + time reconstruction 有权
公开(公告)号：US10229516B2
公开(公告)日：2019-03-12
申请号：US15219040
申请日：2016-07-25
申请人： Pie Medical Imaging B.V.
发明人： Jean-Paul Aben , Mark Punt , Gerardo Dibildox Ramos , Theodores van Walsum , Rianne Reinartz
IPC分类号： G06T11/00 , G06T7/55 , G06T17/10
摘要： A method for making a three-dimensional surface reconstruction of an object from two or more bi-dimensional images of the object, so called 2D images, comprising: a) providing a three-dimensional dataset, so called 3D dataset, of the object; b) generating a 3D model using the dataset as described in a); c) providing motion information to build a 3D model over time; d) generating a 3D reconstruction from said at least two 2D images; and e) using information from the 3D model over time to correct the 3D reconstruction over time. A corresponding apparatus and computer program are also disclosed and claimed.

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