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    Automatic initialization for 2D/3D registration
    1.
    发明授权
    Automatic initialization for 2D/3D registration 有权
    自动初始化2D / 3D注册

    公开(公告)号：US08879815B2

    公开(公告)日：2014-11-04

    申请号：US13591752

    申请日：2012-08-22

    申请人： Shun Miao ,  Christophe Chefd'hotel ,  Rui Liao

    发明人： Shun Miao ,  Christophe Chefd'hotel ,  Rui Liao

    IPC分类号： G06K9/00 ,  G06T7/00 ,  A61B8/00

    CPC分类号： G06T7/344 ,  G06T2207/10081 ,  G06T2207/10121

    摘要： A method for automatic initialization of 2D to 3D image registration includes acquiring a 3D model. A plurality of shape descriptor features is calculated from the acquired 3D model representing a plurality of poses of the 3D model. A 2D image is acquired. The plurality of shape descriptors is matched to the acquired 2D model. An optimum pose of the 3D model is determined based on the matching of the plurality of shape descriptors to the acquired 2D model. An initial registration is generated, in an image processing system, between the 3D model and the 2D image based on the determined optimum pose.

    摘要翻译： 用于2D到3D图像配准的自动初始化的方法包括获取3D模型。 从所获取的3D模型中计算出多个形状描述符特征，该3D模型表示3D模型的多个姿态。 获取2D图像。 多个形状描述符与获取的2D模型相匹配。 基于多个形状描述符与所获取的2D模型的匹配来确定3D模型的最佳姿态。 在图像处理系统中，基于确定的最佳姿态在3D模型和2D图像之间生成初始注册。

    Automatic Initialization for 2D/3D Registration
    2.
    发明申请
    Automatic Initialization for 2D/3D Registration 有权
    2D / 3D注册自动初始化

    公开(公告)号：US20130051647A1

    公开(公告)日：2013-02-28

    申请号：US13591752

    申请日：2012-08-22

    申请人： Shun Miao ,  Christophe Chefd'hotel ,  Rui Liao

    发明人： Shun Miao ,  Christophe Chefd'hotel ,  Rui Liao

    IPC分类号： G06K9/62

    CPC分类号： G06T7/344 ,  G06T2207/10081 ,  G06T2207/10121

    摘要： A method for automatic initialization of 2D to 3D image registration includes acquiring a 3D model. A plurality of shape descriptor features is calculated from the acquired 3D model representing a plurality of poses of the 3D model. A 2D image is acquired. The plurality of shape descriptors is matched to the acquired 2D model. An optimum pose of the 3D model is determined based on the matching of the plurality of shape descriptors to the acquired 2D model. An initial registration is generated, in an image processing system, between the 3D model and the 2D image based on the determined optimum pose.

    摘要翻译： 用于2D到3D图像配准的自动初始化的方法包括获取3D模型。 从所获取的3D模型中计算出多个形状描述符特征，该3D模型表示3D模型的多个姿态。 获取2D图像。 多个形状描述符与获取的2D模型相匹配。 基于多个形状描述符与所获取的2D模型的匹配来确定3D模型的最佳姿态。 在图像处理系统中，基于确定的最佳姿态在3D模型和2D图像之间生成初始注册。

    2D/3D REGISTRATION FOR ABDOMINAL AORTIC ANEURYSM INTERVENTION
    4.
    发明申请
    2D/3D REGISTRATION FOR ABDOMINAL AORTIC ANEURYSM INTERVENTION 审中-公开

    公开(公告)号：US20200051258A1

    公开(公告)日：2020-02-13

    申请号：US13398999

    申请日：2012-02-17

    申请人： Shun Miao ,  Rui Liao ,  Marcus Pfister

    发明人： Shun Miao ,  Rui Liao ,  Marcus Pfister

    IPC分类号： G06T7/38 ,  A61B6/00 ,  G06T7/00 ,  G06K9/00

    摘要： A method for performing 2D/3D registration includes acquiring a 3D image. A pre-contrast 2D image is acquired. A sequence of post-contrast 2D images is acquired. A 2D image is acquired from a second view. The first view pre-contrast 2D image is subtracted from each of the first view post-contrast 2D images to produce a set of subtraction images. An MO image is generated from the subtraction images. A 2D/3D registration result is generated by optimizing a measure of similarity between a first synthetic 2D image and the MO image and a measure of similarity between a second synthetic image and the intra-operative 2D image from the second view by iteratively adjusting an approximation of the pose of the patient in the synthetic images and iterating the synthetic images using the adjusted approximation of the pose.

    System and method for 2-D/3-D registration between 3-D volume and 2-D angiography
    5.
    发明授权
    System and method for 2-D/3-D registration between 3-D volume and 2-D angiography 有权
    3-D体积和2维血管造影术之间2-D / 3-D配准的系统和方法

    公开(公告)号：US08620050B2

    公开(公告)日：2013-12-31

    申请号：US13222034

    申请日：2011-08-31

    申请人： Rui Liao ,  Shun Miao

    发明人： Rui Liao ,  Shun Miao

    IPC分类号： G06K9/00

    CPC分类号： G06T7/33 ,  G06T2207/10072 ,  G06T2207/10124 ,  G06T2207/20224 ,  G06T2207/30048

    摘要： A method for registering a 2-D DSA image to a 3-D image volume includes calculating a coarse similarity measure between a 2-D DRR of an aorta and a cardiac DSA image, and a 2-D DRR of a coronary artery and the cardiac DSA image, for a plurality of poses over a range of 2-D translations. Several DRR-pose combinations with largest similarity measures are selected as refinement candidates. The similarity measure is calculated between the refinement candidate DRRs and the DSA, for a plurality of poses over a range of 3-D translations and in-plane rotations. One or more DRR-pose combinations with largest similarity measures are selected as final candidates. The similarity measure between the final candidate DRRs the DSA are calculated for a plurality of poses over a range of 3D translations and 3D rotations, and a DRR-pose combination with a largest similarity measure is selected as a final registration result.

    摘要翻译： 将2-D DSA图像记录到3-D图像体积的方法包括计算主动脉的2-D DRR与心脏DSA图像和冠状动脉的2-D DRR之间的粗略相似性度量， 心脏DSA图像，用于在2-D翻译的范围内的多个姿势。 选择具有最大相似性度量的几种DRR姿势组合作为细化候选。 对于在3D平移和平面内旋转的范围内的多个姿态，在细化候选DRR和DSA之间计算相似性度量。 选择具有最大相似性度量的一个或多个DRR姿势组合作为最终候选。 在3D平移和3D旋转的范围内针对多个姿态计算最终候选DRR之间的相似性度量，并且选择具有最大相似性度量的DRR姿势组合作为最终注册结果。

    Automatic pose initialization for accurate 2-D/3-D registration applied to abdominal aortic aneurysm endovascular repair
    6.
    发明授权
    Automatic pose initialization for accurate 2-D/3-D registration applied to abdominal aortic aneurysm endovascular repair 有权
    自动姿态初始化用于准确的2-D / 3-D记录应用于腹主动脉瘤血管内修复

    公开(公告)号：US08588501B2

    公开(公告)日：2013-11-19

    申请号：US13473049

    申请日：2012-05-16

    申请人： Shun Miao ,  Joseph Lucas ,  Rui Liao

    发明人： Shun Miao ,  Joseph Lucas ,  Rui Liao

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00214 ,  G06K9/6203

    摘要： A method for automatically initializing pose for registration of 2D fluoroscopic abdominal aortic images with a 3D model of an abdominal aorta includes detecting a 2D iliac bifurcation and a 2D renal artery bifurcation from a sequence of 2D fluoroscopic abdominal aortic images, detecting a spinal centerline in a 2D fluoroscopic spine image, providing a 3D iliac bifurcation and a 3D renal artery bifurcation from a 3D image volume of the patient's abdomen, and a 3D spinal centerline from the 3D image volume of the patient's abdomen, and determining pose parameters {x, y, z, θ}, where (x, y) denotes the translation on a table plane, z denotes a depth of the table, and θ is a rotation about the z axis, by minimizing a cost function of the 2D and 3D iliac bifurcations, the 2D and 3D renal artery bifurcation, and the 2D and 3D spinal centerlines.

    摘要翻译： 用于自动初始化用于腹部主动脉3D模型的2D荧光透视腹主动脉图像配准的姿势的方法包括从2D荧光透视腹主动脉图像序列检测2D髂骨分叉和2D肾动脉分叉，检测脊髓中心线 2D透视脊柱图像，从患者腹部的3D图像体积提供3D髂骨分叉和3D肾动脉分叉，以及来自患者腹部的3D图像体积的3D脊柱中心线，以及确定姿势参数{x，y， z，theta}，其中（x，y）表示平台上的平移，z表示桌子的深度，θ是围绕z轴的旋转，通过最小化2D和3D髂骨分叉的成本函数， 2D和3D肾动脉分叉，以及2D和3D脊髓中心线。

    AUTOMATIC POSE INITIALIZATION FOR ACCURATE 2-D/3-D REGISTRATION APPLIED TO ABDOMINAL AORTIC ANEURYSM ENDOVASCULAR REPAIR
    7.
    发明申请
    AUTOMATIC POSE INITIALIZATION FOR ACCURATE 2-D/3-D REGISTRATION APPLIED TO ABDOMINAL AORTIC ANEURYSM ENDOVASCULAR REPAIR 有权
    适用于ABDOMINAL AORTIC ANEURYSM ENDOVASCULAR REPAIR的精确二维/三维注册的自动位置初始化

    公开(公告)号：US20130058555A1

    公开(公告)日：2013-03-07

    申请号：US13473049

    申请日：2012-05-16

    申请人： Shun Miao ,  Joseph Lucas ,  Rui Liao

    发明人： Shun Miao ,  Joseph Lucas ,  Rui Liao

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00214 ,  G06K9/6203

    摘要： A method for automatically initializing pose for registration of 2D fluoroscopic abdominal aortic images with a 3D model of an abdominal aorta includes detecting a 2D iliac bifurcation and a 2D renal artery bifurcation from a sequence of 2D fluoroscopic abdominal aortic images, detecting a spinal centerline in a 2D fluoroscopic spine image, providing a 3D iliac bifurcation and a 3D renal artery bifurcation from a 3D image volume of the patient's abdomen, and a 3D spinal centerline from the 3D image volume of the patient's abdomen, and determining pose parameters {x, y, z, θ}, where (x, y) denotes the translation on a table plane, z denotes a depth of the table, and θ is a rotation about the z axis, by minimizing a cost function of the 2D and 3D iliac bifurcations, the 2D and 3D renal artery bifurcation, and the 2D and 3D spinal centerlines.

    摘要翻译： 用于自动初始化用于腹部主动脉3D模型的2D荧光透视腹主动脉图像配准的姿势的方法包括从2D荧光透视腹主动脉图像序列检测2D髂骨分叉和2D肾动脉分叉，检测脊髓中心线 2D透视脊柱图像，从患者腹部的3D图像体积提供3D髂骨分叉和3D肾动脉分叉，以及来自患者腹部的3D图像体积的3D脊柱中心线，以及确定姿势参数{x，y， z，＆thetas;}，其中（x，y）表示平面上的平移，z表示表的深度，＆thetas; 通过最小化2D和3D髂骨分叉，2D和3D肾动脉分叉以及2D和3D脊髓中心线的成本函数，围绕z轴旋转。

    SYSTEM AND METHOD FOR 2-D/3-D REGISTRATION BETWEEN 3-D VOLUME AND 2-D ANGIOGRAPHY
    8.
    发明申请
    SYSTEM AND METHOD FOR 2-D/3-D REGISTRATION BETWEEN 3-D VOLUME AND 2-D ANGIOGRAPHY 有权
    三维体积与二维图像之间二维/三维注册的系统与方法

    公开(公告)号：US20120163686A1

    公开(公告)日：2012-06-28

    申请号：US13222034

    申请日：2011-08-31

    申请人： Rui Liao ,  Shun Miao

    发明人： Rui Liao ,  Shun Miao

    IPC分类号： G06K9/00

    CPC分类号： G06T7/33 ,  G06T2207/10072 ,  G06T2207/10124 ,  G06T2207/20224 ,  G06T2207/30048

    摘要： A method for registering a 2-D DSA image to a 3-D image volume includes calculating a coarse similarity measure between a 2-D DRR of an aorta and a cardiac DSA image, and a 2-D DRR of a coronary artery and the cardiac DSA image, for a plurality of poses over a range of 2-D translations. Several DRR-pose combinations with largest similarity measures are selected as refinement candidates. The similarity measure is calculated between the refinement candidate DRRs and the DSA, for a plurality of poses over a range of 3-D translations and in-plane rotations. One or more DRR-pose combinations with largest similarity measures are selected as final candidates. The similarity measure between the final candidate DRRs the DSA are calculated for a plurality of poses over a range of 3D translations and 3D rotations, and a DRR-pose combination with a largest similarity measure is selected as a final registration result.

    摘要翻译： 将2-D DSA图像记录到3-D图像体积的方法包括计算主动脉的2-D DRR与心脏DSA图像和冠状动脉的2-D DRR之间的粗略相似性度量， 心脏DSA图像，用于在2-D翻译的范围内的多个姿势。 选择具有最大相似性度量的几种DRR姿势组合作为细化候选。 对于在3D平移和平面内旋转的范围内的多个姿态，在细化候选DRR和DSA之间计算相似性度量。 选择具有最大相似性度量的一个或多个DRR姿势组合作为最终候选。 在3D平移和3D旋转的范围内针对多个姿态计算最终候选DRR之间的相似性度量，并且选择具有最大相似性度量的DRR姿势组合作为最终注册结果。

    Automatic detection of contrast injection
    9.
    发明授权
    Automatic detection of contrast injection 有权
    自动检测造影剂注射

    公开(公告)号：US09521985B2

    公开(公告)日：2016-12-20

    申请号：US13532923

    申请日：2012-06-26

    申请人： Rui Liao ,  Yinxiao Liu ,  Xudong Lv

    发明人： Rui Liao ,  Yinxiao Liu ,  Xudong Lv

    IPC分类号： A61B6/00 ,  A61B6/12 ,  G06T7/00 ,  G06T7/20 ,  A61B6/03 ,  A61B8/12

    CPC分类号： A61B6/12 ,  A61B6/032 ,  A61B6/469 ,  A61B6/481 ,  A61B6/487 ,  A61B6/503 ,  A61B6/5264 ,  A61B8/12 ,  G06K2209/057 ,  G06T7/0016 ,  G06T7/20 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/30104

    摘要： A method for automatically detecting the presence of a contrast agent in an x-ray image includes acquiring a preliminary x-ray image. A background image is estimated. The contrast agent is administered. A plurality of image frames is acquired. The background image is subtracted from each image frame. An image having a highest image intensity is selected. A predefined shape model is fitted to the selected image using a semi-global optimization strategy. The fitting of the shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.

    摘要翻译： 用于自动检测x射线图像中的造影剂的存在的方法包括获取初步x射线图像。 估计背景图像。 施用造影剂。 获取多个图像帧。 从每个图像帧中减去背景图像。 选择具有最高图像强度的图像。 使用半全局优化策略将预定义的形状模型拟合到所选择的图像。 形状模型的拟合用于将形状模型拟合到每个相减的图像。 基于适合于相应减法图像的形状模型的每个像素的像素强度，针对每个图像帧计算特征值。 通过选择具有最大特征值的图像帧来确定峰值对比度的图像帧。

    Catheter RF ablation using segmentation-based 2D-3D registration
    10.
    发明授权
    Catheter RF ablation using segmentation-based 2D-3D registration 有权
    使用基于分割的2D-3D注册的导管RF消融

    公开(公告)号：US08675996B2

    公开(公告)日：2014-03-18

    申请号：US12821235

    申请日：2010-06-23

    申请人： Rui Liao ,  Norbert Strobel ,  Chenyang Xu

    发明人： Rui Liao ,  Norbert Strobel ,  Chenyang Xu

    IPC分类号： G06K9/32 ,  G06K9/00

    CPC分类号： A61B6/5235 ,  A61B6/487 ,  A61B6/504 ,  A61B6/5247 ,  A61B18/1492 ,  A61B90/37 ,  A61B2090/364 ,  A61B2090/376 ,  A61B2090/3764 ,  G06T3/0068 ,  G06T7/33 ,  G06T2207/10072 ,  G06T2207/10121 ,  G06T2207/20041 ,  G06T2207/30048

    摘要： A method for registering a two-dimensional image of a cardiocirculatory structure and a three-dimensional image of the cardiocirculatory structure includes acquiring a three-dimensional image including the cardiocirculatory structure using a first imaging modality. The acquired three-dimensional image is projected into two-dimensions to produce a two-dimensional projection image of the cardiocirculatory structure. A structure of interest is segmented either from the three-dimensional image prior to projection or from the projection image subsequent to projection. A two-dimensional image of the cardiocirculatory structure is acquired using a second imaging modality. The structure of interest is segmented from the acquired two-dimensional image. A first distance map is generated based on the two-dimensional projection image and a second distance map is generated based on the acquired two-dimensional image. A registration of the three-dimensional image and the two-dimensional image is performed by minimizing a difference between the first and second distance maps.

    摘要翻译： 用于记录心脏循环结构的二维图像和心脏循环结构的三维图像的方法包括使用第一成像模式获取包括心脏循环结构的三维图像。 所获取的三维图像被投影成二维以产生心脏循环结构的二维投影图像。 感兴趣的结构或者从投影之前的三维图像或投影之后的投影图像分割。 使用第二成像模式获取心脏循环结构的二维图像。 感兴趣的结构从获得的二维图像中分割出来。 基于二维投影图像生成第一距离图，并且基于所获取的二维图像生成第二距离图。 通过最小化第一和第二距离图之间的差异来执行三维图像和二维图像的配准。