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    • 1. 发明申请
    • LOCALIZATION OF A DEVICE FOR MR-GUIDED INTERVENTION
    • 用于MR导向干预的设备的本地化
    • US20130085377A1
    • 2013-04-04
    • US13627171
    • 2012-09-26
    • Julien Christian BarbotSunil Goraksha Patil
    • Julien Christian BarbotSunil Goraksha Patil
    • A61B5/055
    • A61B5/055A61B5/062G01R33/287
    • Localization of a coil is provided for magnetic resonance (MR)-guided intervention. A multi-scale decomposition and characteristic transitions in the power spectra for the coil are used to determine a distribution of likelihood of the coil being at each of various locations and/or to determine a confidence in the position determination. For example, the power spectra along each axis is used to generate a likelihood distribution of the location of the coil. The power spectra are decomposited at different scales. For each scale, the modulus maxima reflecting transitions in the power spectra are matched using various criteria. A likelihood is calculated for each of the matched candidates from characterizations of the matched candidates. The likelihood distribution is determined from a combination of the likelihoods from the various scales.
    • 提供线圈的定位用于磁共振(MR)指导的干预。 使用线圈的功率谱中的多尺度分解和特征转换来确定线圈在各个位置的每一个处的可能性的分布和/或确定位置确定的置信度。 例如,沿着每个轴的功率谱用于产生线圈的位置的似然分布。 功率谱在不同尺度下分解。 对于每个刻度,使用各种标准来匹配反映功率谱中的跃迁的模数最大值。 根据匹配候选者的特征,计算每个匹配候选者的似然度。 从各种尺度的可能性的组合确定似然分布。
    • 3. 发明授权
    • Active catheter reconstruction for interventional magnetic resonance imaging
    • 主动导管重建介入磁共振成像
    • US09186088B2
    • 2015-11-17
    • US13611529
    • 2012-09-12
    • Julien Christian BarbotKlaus J. Kirchberg
    • Julien Christian BarbotKlaus J. Kirchberg
    • G06K9/00A61B5/06A61B19/00
    • A61B5/064A61B34/10A61B2090/3983
    • A method for device visualization includes receiving a set of physical characteristics including a description of spatial relationships of a plurality of markers within a device. Radiographic data of the device within a subject is acquired. An approximate location of each of the plurality of markers is identified within the radiographic data. A trajectory function is constructed for the device within the subject based on the identified approximate locations of each of the markers and the received set of physical characteristics. A section function is constructed for the device based on the set of physical characteristics and a 3D model is generated for the device based on the constructed trajectory function and the section function. A rendering of the 3D model is displayed on a display device.
    • 一种用于设备可视化的方法包括接收一组物理特性,包括设备内的多个标记的空间关系的描述。 获取受试者内的装置的射线照相数据。 在放射线照相数据内识别出多个标记中的每一个的大致位置。 基于识别出的每个标记的近似位置和所接收的一组物理特征,为对象内的设备构建轨迹函数。 基于物理特性的集合为装置构建截面函数,并且基于构造的轨迹函数和截面函数为装置生成3D模型。 在显示设备上显示3D模型的呈现。
    • 4. 发明申请
    • ACTIVE CATHETER RECONSTRUCTION FOR INTERVENTIONAL MAGNETIC RESONANCE IMAGING
    • 用于传统磁共振成像的主动导管重建
    • US20130083988A1
    • 2013-04-04
    • US13611529
    • 2012-09-12
    • Julien Christian BarbotKlaus J. Kirchberg
    • Julien Christian BarbotKlaus J. Kirchberg
    • G06T17/00
    • A61B5/064A61B34/10A61B2090/3983
    • A method for device visualization includes receiving a set of physical characteristics including a description of spatial relationships of a plurality of markers within a device. Radiographic data of the device within a subject is acquired. An approximate location of each of the plurality of markers is identified within the radiographic data. A trajectory function is constructed for the device within the subject based on the identified approximate locations of each of the markers and the received set of physical characteristics. A section function is constructed for the device based on the set of physical characteristics and a 3D model is generated for the device based on the constructed trajectory function and the section function. A rendering of the 3D model is displayed on a display device.
    • 一种用于设备可视化的方法包括接收一组物理特性,包括设备内的多个标记的空间关系的描述。 获取受试者内的装置的射线照相数据。 在放射线照相数据内识别出多个标记中的每一个的大致位置。 基于识别出的每个标记的近似位置和所接收的一组物理特征,为对象内的设备构建轨迹函数。 基于物理特性的集合为装置构建截面函数,并且基于构造的轨迹函数和截面函数为装置生成3D模型。 在显示设备上显示3D模型的呈现。
    • 6. 发明授权
    • Filter approach to catheter electrode detection and tracking
    • 导管电极检测和跟踪的过滤方法
    • US08831309B2
    • 2014-09-09
    • US13552004
    • 2012-07-18
    • Julien Christian BarbotAtilla Peter Kiraly
    • Julien Christian BarbotAtilla Peter Kiraly
    • G06K9/00G06K9/46
    • G06K9/4609
    • A method including receiving a first two-dimensional (2D) image; and applying a filter to the 2D image to produce a filtered image that identifies a circular object of interest, wherein the filter is based on the integral sum of the function S, where the filter output at point x is M ⁡ ( x ) = ∫ ∀ y ∈ V ′ ⁢ S ⁡ ( m , θ , r , y ) ⁢ Δ ⁢ ⁢ y which is obtained from the 2D image, the function S is represented by S(m,θ,r,y)=S1(m)S2(θ,r), where m is a magnitude of a gradient at location y, r is a radial distance from y to x, and θ is an angle between the gradient at location y and the radial distance from y to x, S 1 ⁡ ( m ) = ( tan - 1 ⁡ ( m - C 1 ) + π 2 ) π , ⁢ s 2 ⁡ ( θ , r ) = 1 σ ⁢ 2 ⁢ ⁢ π ⁢ ⅇ - ( r × sin ⁢ ⁢ θ ) 2 2 ⁢ ⁢ σ 2 × ∫ - r × sin ⁡ ( 90 - θ ) C 2 - r × sin ⁡ ( 90 - θ ) ⁢ 1 σ ⁢ 2 ⁢ ⁢ π ⁢ ⅇ - x 2 2 ⁢ ⁢ σ 2 ⁢ ⁢ ⅆ x , C1 depends on a gray-level value of the object, C2 and σ depend on a size of the object.
    • 一种方法,包括接收第一二维(2D)图像; 以及向所述2D图像应用滤波器以产生识别感兴趣的圆形物体的滤波图像,其中所述滤波器基于所述函数S的积分和,其中在点x处的滤波器输出为M⁡(x)=∫ ∀y∈V'S⁡(m,&thetas;,r,y)&Dgr; (y,y)= S1(m)S2(&Thetas;,r)表示函数S,其中m是从2D图像获得的函数S,其中m是 位置y,r是从y到x的径向距离,& thetas; 是位置y处的梯度与从y到x的径向距离之间的角度,S 1⁡(m)=(tan-1⁡(m-C 1)+&pgr; 2)&pgr; ,s 2⁡(&Thetas;,r)= 1&sgr; 2 ug&pgr; (r×sin(t))2 2&sgr; 2×∫-r×sin⁡(90-& thetas)C 2 -r×sin⁡(90-& tt;)1&sgr; 2 ug&pgr; ⅇ - x 2 2⁢& 2⁢ⅆx,C1取决于对象的灰度值,C2和&sgr; 取决于对象的大小。
    • 8. 发明申请
    • FILTER APPROACH TO CATHETER ELECTRODE DETECTION AND TRACKING
    • 过滤器电极检测和跟踪的过滤方法
    • US20130034289A1
    • 2013-02-07
    • US13552004
    • 2012-07-18
    • Julien Christian BarbotAtilla Peter Kiraly
    • Julien Christian BarbotAtilla Peter Kiraly
    • G06K9/40G06K9/00
    • G06K9/4609
    • A method including receiving a first two-dimensional (2D) image; and applying a filter to the 2D image to produce a filtered image that identifies a circular object of interest, wherein the filter is based on the integral sum of the function S, where the filter output at point x is M  ( x ) = ∫ ∀ y ∈ V ′  S  ( m , θ , r , y )  Δ   y which is obtained from the 2D image, the function S is represented by S(m,θ,r,y)=S1(m)S2(θ,r), where m is a magnitude of a gradient at location y, r is a radial distance from y to x, and θ is an angle between the gradient at location y and the radial distance from y to x, S 1  ( m ) = ( tan - 1  ( m - C 1 ) + π 2 ) π ,  s 2  ( θ , r ) = 1 σ  2   π   - ( r × sin   θ ) 2 2   σ 2 × ∫ - r × sin  ( 90 - θ ) C 2 - r × sin  ( 90 - θ )  1 σ  2   π   - x 2 2   σ 2    x , C1 depends on a gray-level value of the object, C2 and σ depend on a size of the object.
    • 一种方法,包括接收第一二维(2D)图像; 以及向2D图像应用滤波器以产生识别感兴趣的圆形物体的滤波图像,其中所述滤波器基于所述函数S的积分和,其中在点x处的滤波器输出为M(x)=∫ ∀y∈V'S S(m,&thetas;,r,y)&Dgr; 由(2)式得出,函数S由S(m,&Thetas;,r,y)= S1(m)S2(η r)表示,其中m是 位置y,r是从y到x的径向距离,& thetas; 是位置y处的梯度与从y到x的径向距离之间的角度,S 1(m)=(tan-1(m-C 1)+&pgr; 2)&pgr; ,s 2(&thetas;,r)= 1&sgr; ;ㄧ; ;;;;;;;;;;;;;;;;;; 2×∫-r×sin(90-& thetas;)C 2 -r×sin(90-&Thetas;)1&sgr; ;ㄧ; x;;;;; 2,取决于对象的灰度值,C2和&sgr; 取决于对象的大小。