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1. 发明申请

US20210338088A1 Method and Apparatus for Quantitative Hemodynamic Flow Analysis 有权
公开(公告)号：US20210338088A1
公开(公告)日：2021-11-04
申请号：US17366274
申请日：2021-07-02
申请人： PIE MEDICAL IMAGING B.V.
发明人： Chris Bouwman , Dennis Koehn , Jean-Paul Aben
IPC分类号： A61B5/02 , G06T7/62 , A61B5/021 , A61B5/107 , A61B5/00 , G06T7/00 , G06T11/00
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.

2. 发明申请

US20190318476A1 Method and System for Assessing Vessel Obstruction Based on Machine Learning 审中-公开
公开(公告)号：US20190318476A1
公开(公告)日：2019-10-17
申请号：US16379248
申请日：2019-04-09
申请人： Pie Medical Imaging B.V.
发明人： Ivana Isgum , Majd Zreik , Jean-Paul Aben
IPC分类号： G06T7/00 , G06T15/08 , A61B6/00 , G06N3/08 , G06N20/00
摘要： Methods and systems are described for assessing a vessel obstruction. The methods and systems obtain a volumetric image dataset for a target organ that includes a vessel of interest, extract an axial trajectory extending along of a vessel of interest (VOI) within the volumetric image dataset, and create a three-dimensional (3D) multi-planer reformatted (MPR) image based on the volumetric image dataset and the axial trajectory of the VOI. The methods and systems also extract a VOI parameter from the MPR utilizing a machine learning-based vessel obstruction assessment (VOA) model. Methods and systems are also described for implementing a prediction phase to perform at least one of i) detecting plaque type, ii) classifying anatomical severity of vessel blockage, and/or iii) classifying a hemodynamic severity of vessel obstructions within an unseen portion of the volumetric image data set.

3. 发明申请

US20170236326A1 Method and Apparatus for User Guidance for the Choice of a Two-Dimensional Angiographic Projection 审中-公开
公开(公告)号：US20170236326A1
公开(公告)日：2017-08-17
申请号：US15425973
申请日：2017-02-06
申请人： Pie Medical Imaging B.V.
发明人： Jean-Paul Aben , Tom van Neerven , Rianne Reinartz
IPC分类号： G06T15/20 , G06T15/08 , G06T7/60 , G06T11/00
CPC分类号： G06T15/20 , G06T1/005 , G06T7/60 , G06T11/008 , G06T15/08 , G06T2207/10081 , G06T2207/20108 , G06T2211/404
摘要： Systems and methods provide guidance for selection of projection perspectives to utilize to obtain complementary combinations of projection images of an object. The systems and methods provide a first two-dimensional image of the object which has been obtained from a first perspective having a first spatial orientation with reference to a coordinate system. The systems and methods define a first parameter indicative of a degree to which candidate perspectives complement the first perspective, define at least one scale of values between first and second limits, the first and second limits are associated with first and second candidate perspectives having complementary and non-complementary relations to the first perspective. The systems and methods associate the values to the first parameter for the candidate perspectives and display indicia indicative of the values of the first parameter with reference to the coordinate system as guidance for selecting candidate perspectives.

4. 发明申请

US20160314581A1 Flow Analysis in 4D MR Image Data 审中-公开
标题翻译： 4D MR图像数据中的流量分析
公开(公告)号：US20160314581A1
公开(公告)日：2016-10-27
申请号：US15091964
申请日：2016-04-06
申请人： PIE MEDICAL IMAGING B.V.
发明人： Enrico Contini , Jean-Paul Aben , Dennis Koehn , Rianne Reinartz
IPC分类号： G06T7/00 , A61B5/055 , G06T7/60 , A61B5/026
CPC分类号： G06T7/0012 , A61B5/026 , A61B5/055 , G06T7/248 , G06T2207/10088 , G06T2207/10096 , G06T2207/30048 , G06T2207/30104
摘要： A method for performing flow analysis in a target volume of a moving organ from sequences of a first and a second magnetic resonance volumetric image data sets of such organ, which data sets are timely separated by a certain time interval, wherein the first volumetric image data sets comprise structural information and three-directional velocity information of the target volume and the second volumetric image data sets comprises structural information of the target volume, the method comprising the following steps: a) determining at least one feature of interest in at least one volume data set of the sequence of second volumetric image data sets; b) tracking the feature of interest within one or more volume data sets of the sequence of the second volumetric data sets; c) determining the spatial orientation over time of a plane containing the feature of interest in the sequence of the second volumetric data sets; d) determining the spatial orientation over time of the plane containing the feature of interest in the sequence of the first volumetric data sets; e) reformatting the three-directional velocity information into one-directional velocity information on the plane as determined in step d); f) performing bi-dimensional quantitative flow analysis using the one-directional velocity information. A corresponding apparatus and computer program are also disclosed.
摘要翻译：一种用于在这样的器官的第一和第二磁共振体积图像数据集的序列中对运动器官的目标体积进行流量分析的方法，该数据组被及时地分开一定的时间间隔，其中第一体积图像数据所述组包括所述目标体积的结构信息和三向速度信息，并且所述第二体积图像数据集包括所述目标体积的结构信息，所述方法包括以下步骤：a）在至少一个体积中确定感兴趣的至少一个特征第二体积图像数据集序列的数据集; b）跟踪所述第二体积数据集的序列的一个或多个体积数据集中的感兴趣特征; c）确定在第二体积数据集的序列中包含感兴趣特征的平面的时间上的空间取向; d）确定在第一体积数据集的序列中包含感兴趣特征的平面的时间上的空间取向; e）将三向速度信息重新格式化为在步骤d）中确定的平面上的双向速度信息; f）使用双向速度信息进行二维定量流分析。还公开了相应的装置和计算机程序。

5. 发明授权

US10699407B2 Method and system for assessing vessel obstruction based on machine learning 有权
公开(公告)号：US10699407B2
公开(公告)日：2020-06-30
申请号：US16379248
申请日：2019-04-09
申请人： Pie Medical Imaging B.V.
发明人： Ivana Isgum , Majd Zreik , Jean-Paul Aben
IPC分类号： G06K9/00 , G06T7/00 , G06T15/08 , A61B6/00 , G06N20/00 , G06N3/08
摘要： Methods and systems are described for assessing a vessel obstruction. The methods and systems obtain a volumetric image dataset for a target organ that includes a vessel of interest, extract an axial trajectory extending along of a vessel of interest (VOI) within the volumetric image dataset, and create a three-dimensional (3D) multi-planer reformatted (MPR) image based on the volumetric image dataset and the axial trajectory of the VOI. The methods and systems also extract a VOI parameter from the MPR utilizing a machine learning-based vessel obstruction assessment (VOA) model. Methods and systems are also described for implementing a prediction phase to perform at least one of i) detecting plaque type, ii) classifying anatomical severity of vessel blockage, and/or iii) classifying a hemodynamic severity of vessel obstructions within an unseen portion of the volumetric image data set.

6. 发明授权

US09811939B2 Method and system for registering intravascular images 有权
公开(公告)号：US09811939B2
公开(公告)日：2017-11-07
申请号：US14537425
申请日：2014-11-10
申请人： Pie Medical Imaging B.V.
发明人： Jean-Paul Aben , Boudewijn J. A. Verstraelen , Tristan Slots
IPC分类号： G06K9/00 , G06T15/00 , A61B6/12 , A61B8/12 , G06T7/32 , A61B6/00 , A61B8/08
CPC分类号： G06T15/00 , A61B6/12 , A61B6/4441 , A61B6/481 , A61B6/487 , A61B6/504 , A61B6/5247 , A61B6/541 , A61B8/0883 , A61B8/0891 , A61B8/12 , A61B8/5261 , G06T7/32 , G06T2207/10101 , G06T2207/10116 , G06T2207/10132 , G06T2207/30101 , G06T2207/30241
摘要： A method for co-registration of angiography and intravascular images is described in which intravascular images are in the form of a sequence of images obtained from an intravascular imaging device which is pulled back through a vessel. The method includes generating a three-dimensional reconstruction of the trajectory of the intravascular device within the vessel from two or more bi-dimensional angiography images of such vessel which have been obtained from different perspectives. The method also includes determining a first position of an element of the device within the 3D reconstruction of the trajectory and correlating the position of such element with a correspondent point in the reconstructed trajectory during pull back. Further, the method includes correlating each intravascular image of the sequence with a corresponding spatial position within at least one of the bi-dimensional angiography images. A corresponding system and computer program are also described.

7. 发明申请

US20170039736A1 Method and Apparatus to Improve a 3D + Time Reconstruction 审中-公开
标题翻译：改进3D +时间重建的方法和装置
公开(公告)号：US20170039736A1
公开(公告)日：2017-02-09
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 , G06T17/10
CPC分类号： G06T11/003 , G06T7/55 , G06T17/10 , G06T2207/10081 , G06T2207/10116 , G06T2207/30101
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.
摘要翻译：还公开并要求保护相应的装置和计算机程序。

8. 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.

9. 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.

10. 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.

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