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公开(公告)号：US11704797B2
公开(公告)日：2023-07-18
申请号：US17182971
申请日：2021-02-23
Applicant: BIO-TREE SYSTEMS, INC.
Inventor： Kongbin Kang , Yanchun Wu , Raul A. Brauner
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/10101 , G06T2207/30041 , G06T2207/30101
Abstract: Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina.
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公开(公告)号：US10366792B2
公开(公告)日：2019-07-30
申请号：US15581315
申请日：2017-04-28
Applicant: Bio-Tree Systems, Inc.
Inventor： Raul A. Brauner , Kongbin Kang , Yanchun Wu
Abstract: A system and method for diagnosing retina disease is disclosed. The method comprises capturing a plurality of images of the vascular network within the retina, such as through the use of optical coherence tomography (OCT). This plurality of images are then processed to determine the location and diameter of each vessel in the three-dimensional vascular network in the retina. The vascular network is then divided into a plurality of equal unit volumes. The vessel density, vascular volume density and other metrics can then be determined for each unit volume. This information can then be used to identify retina disease. The information can be parsed and presented in a variety of ways.
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公开(公告)号：US20170278243A1
公开(公告)日：2017-09-28
申请号：US15600886
申请日：2017-05-22
Applicant: Bio-Tree Systems, Inc.
Inventor： Kongbin Kang , Yanchun Wu , Raul A. Brauner
IPC: G06T7/00 , G06T7/187 , G06T7/12 , G06T7/181 , G06T7/70 , A61B6/03 , G06T17/00 , G06T7/11 , A61B6/00 , G06K9/62
Abstract: Techniques for linking geometry extracted from one or more medical images, the geometry including a plurality of geometric objects each having parameter values including at least one value for location and at least one value for direction/orientation, the plurality of geometric objects comprising a target geometric object and at least two candidate geometric objects, the techniques include: (A) comparing parameter values of the target geometric object with parameter values of the at least two candidate geometric objects, (B) selecting one of the at least two candidate geometric objects to link to the target geometric object based, at least in part, on the comparison; and (C) linking the to target geometric object with the selected candidate geometric object.
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公开(公告)号：US09721341B2
公开(公告)日：2017-08-01
申请号：US15043345
申请日：2016-02-12
Applicant: Bio-Tree Systems, Inc.
Inventor： Kongbin Kang , Raul A. Brauner , Yanchun Wu , Joao Cruz
IPC: G06K9/00 , G06T7/00 , G06K9/62 , G06T7/20 , G06T15/08 , G06T7/73 , A61B5/055 , G06T7/60 , A61B6/00
CPC classification number: G06T7/0012 , A61B5/02007 , A61B5/055 , A61B5/107 , A61B5/489 , A61B6/504 , A61B6/508 , A61B2576/02 , G06K9/4609 , G06K9/4638 , G06K9/6215 , G06T7/20 , G06T7/60 , G06T7/62 , G06T7/74 , G06T15/08 , G06T2207/10028 , G06T2207/10072 , G06T2207/10116 , G06T2207/20004 , G06T2207/30101 , G06T2207/30172 , G06T2211/404
Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.
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公开(公告)号：US20170024882A1
公开(公告)日：2017-01-26
申请号：US15043345
申请日：2016-02-12
Applicant: Bio-Tree Systems, Inc.
Inventor： Kongbin Kang , Raul A. Brauner , Yanchun Wu , Joao Cruz
CPC classification number: G06T7/0012 , A61B5/02007 , A61B5/055 , A61B5/107 , A61B5/489 , A61B6/504 , A61B6/508 , A61B2576/02 , G06K9/4609 , G06K9/4638 , G06K9/6215 , G06T7/20 , G06T7/60 , G06T7/62 , G06T7/74 , G06T15/08 , G06T2207/10028 , G06T2207/10072 , G06T2207/10116 , G06T2207/20004 , G06T2207/30101 , G06T2207/30172 , G06T2211/404
Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.
Abstract translation: 在一个方面，提供一种使用适于响应于至少一个特征的匹配滤波器来检测至少一个血管的至少一个图像中的至少与血管相关联的特征的方法。 所述方法包括对所述至少一个图像中的选定体素应用比例检测滤波器以确定每个所选择的体素处的匹配滤波器的比例，确定每个所选择的体素处的匹配滤波器的取向，其中确定取向 通过使用在每个所选择的体素中确定的比例来辅助，在每个所选择的体素处以每个所选择的体素应用匹配滤波器，并且在每个所选择的体素处确定取向以在每个所选择的体素处获得滤波器响应，以及 分析每个所选择的体素处的过滤器响应，以确定相应的体素是否对应于所述至少一个特征。
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Patent Agency Ranking
公开(公告)号：US20160239956A1
公开(公告)日：2016-08-18
申请号：US14853940
申请日：2015-09-14
Applicant: Bio-Tree Systems, Inc.
Inventor： Kongbin Kang , Yanchun Wu , Raul A. Brauner
CPC classification number: G06T7/0012 , A61B6/032 , A61B6/504 , A61B6/5247 , G06K9/6202 , G06K9/6212 , G06K9/6214 , G06T7/11 , G06T7/12 , G06T7/181 , G06T7/187 , G06T7/70 , G06T17/005 , G06T2207/10081 , G06T2207/30101
Abstract: Techniques for linking geometry extracted from one or more medical images, the geometry including a plurality of geometric objects each having parameter values including at least one value for location and at least one value for direction/orientation, the plurality of geometric objects comprising a target geometric object and at least two candidate geometric objects, the techniques include: (A) comparing parameter values of the target geometric object with parameter values of the at least two candidate geometric objects, (B) selecting one of the at least two candidate geometric objects to link to the target geometric object based, at least in part, on the comparison; and (C) linking the target geometric object with the selected candidate geometric object.
Abstract translation: 用于链接从一个或多个医学图像提取的几何的技术，所述几何包括多个几何对象，每个几何对象具有包括用于位置的至少一个值和至少一个用于方向/取向的值的参数值，所述多个几何对象包括目标几何 所述技术包括：（A）将所述目标几何对象的参数值与所述至少两个候选几何对象的参数值进行比较，（B）选择所述至少两个候选几何对象中的一个至少两个候选几何对象 至少部分地基于比较来链接到目标几何对象; 和（C）将目标几何对象与所选择的候选几何对象相链接。
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公开(公告)号：US10672120B2
公开(公告)日：2020-06-02
申请号：US15600886
申请日：2017-05-22
Applicant: Bio-Tree Systems, Inc.
Inventor： Kongbin Kang , Yanchun Wu , Raul A. Brauner
IPC: G06T7/00 , G06T17/00 , G06T7/70 , G06T7/11 , G06T7/12 , G06T7/181 , G06T7/187 , A61B6/00 , A61B6/03 , G06K9/62
Abstract: Techniques for linking geometry extracted from one or more medical images, the geometry including a plurality of geometric objects each having parameter values including at least one value for location and at least one value for direction/orientation, the plurality of geometric objects comprising a target geometric object and at least two candidate geometric objects, the techniques include: (A) comparing parameter values of the target geometric object with parameter values of the at least two candidate geometric objects, (B) selecting one of the at least two candidate geometric objects to link to the target geometric object based, at least in part, on the comparison; and (C) linking the to target geometric object with the selected candidate geometric object.
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8.发明申请公开(公告)号：US20170287131A1
公开(公告)日：2017-10-05
申请号：US15474513
申请日：2017-03-30
Applicant: Bio-Tree Systems, Inc.
Inventor： Kongbin Kang , Yanchun Wu , Raul A. Brauner
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/10101 , G06T2207/30041 , G06T2207/30101
Abstract: Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina.
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公开(公告)号：US20220020144A1
公开(公告)日：2022-01-20
申请号：US17182971
申请日：2021-02-23
Applicant: BIO-TREE SYSTEMS, INC.
Inventor： Kongbin KANG , Yanchun WU , Raul A. BRAUNER
IPC: G06T7/00
Abstract: Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina.
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公开(公告)号：US10235756B2
公开(公告)日：2019-03-19
申请号：US14692342
申请日：2015-04-21
Applicant: Bio-Tree Systems, Inc.
Inventor： Raul A. Brauner , Kongbin Kang , Yanchun Wu , Joao Cruz
Abstract: According to some aspects, a method of identifying a boundary of a portion of a vasculature is provided, the vasculature comprising a geometric representation of a plurality of vessels. The method comprises logically dividing the geometric representation into a plurality of regions, determining at least one feature within each of the plurality of regions, and defining the boundary of the portion of the vasculature based, at least in part, on the at least one feature determined within each of the plurality of regions, wherein the boundary forms a volume defining a separation between inside and outside of the portion of the vasculature. According to some aspects, a method of performing vascular analysis using a geometric representation of a plurality of vessels of the vasculature is provided. The method comprises computing a boundary of a portion of the vasculature based on the geometric representation, logically dividing the geometric representation within the boundary into a plurality of regions, and analyzing at least one feature for each of the plurality of regions within the boundary.
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