-
公开(公告)号：US20190012805A1
公开(公告)日：2019-01-10
申请号：US16066551
申请日：2016-02-29
Applicant: Brainlab AG
Inventor： Pascal BERTRAM , Birte DOMNIK , Elisa Garcia CORISCO
Abstract: A medical data processing method and system determines the position of an artifact in patient image data describing a set of tomographic slice images of an anatomical structure of a patient. The images are described by color Values. Color value difference data describing differences in color values for image elements in adjacent slice images is determined. At least one of positive or negative difference data, describing a subset of the differences and consisting of differences having a positive or negative value are determined. Smoothed difference data describing a smoothing of the differences contained in the positive or negative difference data are determined and, based on the positive or negative difference data and the smoothed difference data, artifact position data is determined describing the position of an artifact in the patient image data.
-
Patent Agency Ranking
公开(公告)号：US20190043224A1
公开(公告)日：2019-02-07
申请号：US16075431
申请日：2016-02-16
Applicant: Brainlab AG
Inventor： Kajetan BERLINGER , Birte DOMNIK , Elisa Garcia CORSICO , Pascal BERTRAM
Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.
-
公开(公告)号：US20180315204A1
公开(公告)日：2018-11-01
申请号：US15764789
申请日：2015-12-16
Applicant: Brainlab AG
Inventor： Pascal BERTRAM , Elisa Garcia CORSICO , Ivana IVANOVSKA , Birte DOMNIK
CPC classification number: G06T7/0002 , G06T3/0068 , G06T7/30 , G06T2207/30168
Abstract: A medical data processing method, performed by a computer (2), for determining error analysis data describing the registration accuracy of a first elastic registration between first and second image data (A, B) describing images of an anatomical structure of a patient, comprising the steps of: —acquiring the first image data (A) describing a first image of the anatomical structure, —acquiring the second image data (B) describing a second image of the anatomical structure, —determining first registration data describing a first elastic registration of the first image data (A) to the second image data (B) by mapping the first image data (A) to the second image data (B) using a registration algorithm, —determining second registration data describing a second elastic registration of the second image data (B) to the first image data (A) by mapping the second image data (B) to the first image data (A) using the registration algorithm, —determining error analysis data describing the registration accuracy of the first elastic registration based on the first registration data and the second registration data.
-
公开(公告)号：US20230342992A1
公开(公告)日：2023-10-26
申请号：US18309968
申请日：2023-05-01
Applicant: Brainlab AG
Inventor： Kajetan BERLINGER , Birte DOMNIK , Elisa Garcia Corisco , Pascal BERTRAM
CPC classification number: G06T11/003 , A61N5/1037 , A61B6/486 , A61B6/12 , A61B6/5223 , A61B6/5288 , A61B6/032 , A61N5/1049 , G16H50/50 , G06T11/008 , G06T7/20 , G06T7/0012 , A61N2005/1062 , G06T2207/10076 , G06T2207/10081 , G06T2207/10124 , G06T2207/30241 , G06T2211/412
Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.
-
公开(公告)号：US20220189080A1
公开(公告)日：2022-06-16
申请号：US17573032
申请日：2022-01-11
Applicant: Brainlab AG
Inventor： Kajetan BERLINGER , Birte DOMNIK , Elisa Garcia Corisco , Pascal BERTRAM
Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.
-
6.发明申请公开(公告)号：US20160051842A1
公开(公告)日：2016-02-25
申请号：US14921363
申请日：2015-10-23
Applicant: Brainlab AG
Inventor： Pascal BERTRAM , Claus PROMBERGER , Thomas FLURSCHUETZ
CPC classification number: A61N5/1039 , A61N5/103 , A61N5/1048 , A61N2005/1061 , A61N2005/1074 , G06F19/00 , G06F19/3481 , G06T7/0012 , G06T7/11 , G06T15/06 , G06T15/08 , G06T2200/04 , G06T2207/10072 , G06T2207/30024 , G06T2207/30096 , G06T2210/41 , G06T2211/40
Abstract: A method for generating planning data or control data for a radiation treatment, comprising the following steps: acquiring segmented data of an object which contains a treatment volume and a non-treatment volume; modelling at least some or all of the volume or surface of the treatment volume as a source of light or rays exhibiting a predefined or constant initial intensity; modelling the non-treatment volume as comprising volumetric elements or voxels which each exhibit an individually assigned feature or attenuation or transparency value (tmin≦t≦tmax) for the light or rays which feature is assigned to the light or ray or which attenuation or transparency maintains or reduces the intensity of the light or ray as it passes through the respective volumetric element or voxel, wherein the feature or attenuation or transparency value is individually assigned to each volumetric element or voxel of the non-treatment volume; defining a map surface which surrounds the treatment volume or the object; calculating an accumulated intensity value for points or areas on the map surface, the accumulated intensity being the sum of the intensities of all the rays which exhibit the predefined or constant initial intensity and are emitted from the volume or surface of the treatment volume and reach a respective point on the map surface preferably by following a straight line, wherein if the ray passes through a non-treatment volume or voxel, the intensity of the respective ray is reduced or attenuated by a factor which is determined by the individual feature or attenuation or transparency value of the respective non-treatment volume or voxel; and generating an intensity distribution on the map surface using the calculated accumulated intensities.
Abstract translation: 一种用于产生辐射处理的规划数据或控制数据的方法，包括以下步骤：获取包含处理量和非处理量的对象的分段数据; 将处理体积的至少一部分或全部体积或表面建模为呈现预定义或恒定初始强度的光源或射线; 将非处理体积建模为包括体积元素或体素，其各自表现出分配给光或射线的特征的光或射线的单独赋予的特征或衰减或透明度值（tmin＆nlE; t＆nlE; tmax）或哪种衰减或透明度 当光或射线穿过相应的体积元素或体素时，维持或减小光或射线的强度，其中将特征或衰减或透明度值分别分配给非处理体积的每个体积元素或体素; 定义围绕处理体积或物体的地图表面; 计算地图表面上的点或区域的累积强度值，累积强度是表现出预定义或恒定初始强度的所有射线的强度之和，并且从处理体积的体积或表面发射并达到 优选地通过遵循直线的地图表面上的相应点，其中如果光线通过非处理体积或体素，则各个射线的强度由单个特征或衰减确定的因子减小或衰减，或 相应的非处理体积或体素的透明度值; 以及使用所计算的累积强度在所述地图表面上生成强度分布。
-
-
-
-
-
Search Results
6
records
(took 0.014 seconds)
