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1.发明申请2D-2D FUSION FOR INTERVENTIONAL GUIDANCE IN TRANS-CATHETER AORTIC VALVE IMPLANTATION 有权用于传导导管动态阀植入的传统指导的2D-2D融合公开(公告)号：US20130057569A1
公开(公告)日：2013-03-07
申请号：US13534675
申请日：2012-06-27
申请人： Rui Liao , Yinxiao Liu , Matthias John
发明人： Rui Liao , Yinxiao Liu , Matthias John
CPC分类号： A61B6/00 , A61B6/12 , A61B6/463 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/504 , A61B6/5235 , G06K9/34 , G06K9/6215 , G06K9/6289 , G06T3/0068 , G06T5/50 , G06T2207/10121 , G06T2207/20076 , G06T2207/30048 , G06T2207/30104
摘要： A method for fusing 2D fluoroscopic images with 2D angiographic images for real-time interventional procedure guidance includes using a 2-dimensional angiographic image to detect injection of a contrast agent into an anatomical structure, where the contrast agent first appears in a detected image frame, subtracting a background image from the detected image frame and binarizing the subtracted image frame to segment the anatomical structure from the subtracted image frame, registering the segmented anatomical structure with a predefined shape model of the anatomical structure to generate an anatomical mask, generating an anatomical probability map from the anatomical mask using intensity information from the subtracted image frame, where the anatomical probability map expresses a probability of a pixel in the subtracted image frame belonging to the anatomical structure, and fusing the angiographic image with one or more subsequently acquired 2-dimensional fluoroscopic images of the anatomical structure using the anatomical probability map.
摘要翻译： 用于将2D荧光图像与2D血管造影图像融合以用于实时介入手术指导的方法包括使用二维血管造影图像来检测造影剂的注射到解剖结构中，其中造影剂首先出现在检测到的图像帧中， 从检测到的图像帧中减去背景图像并对相减的图像帧进行二值化以从减除的图像帧分割解剖结构，使用解剖结构的预定义形状模型登记分割的解剖结构以生成解剖学掩模，产生解剖概率 使用来自所述相减图像帧的强度信息从所述解剖掩模映射，其中所述解剖概率图表示属于所述解剖结构的所述减去的图像帧中的像素的概率，并且将所述血管造影图像与一个或多个随后获取的二维 透视图像的肛门 omical结构使用解剖概率图。
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2.发明授权2D-2D fusion for interventional guidance in trans-catheter aortic valve implantation 有权2D-2D融合用于跨导管主动脉瓣植入术的介入引导公开(公告)号：US09058664B2
公开(公告)日：2015-06-16
申请号：US13534675
申请日：2012-06-27
申请人： Rui Liao , Yinxiao Liu , Matthias John
发明人： Rui Liao , Yinxiao Liu , Matthias John
CPC分类号： A61B6/00 , A61B6/12 , A61B6/463 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/504 , A61B6/5235 , G06K9/34 , G06K9/6215 , G06K9/6289 , G06T3/0068 , G06T5/50 , G06T2207/10121 , G06T2207/20076 , G06T2207/30048 , G06T2207/30104
摘要： A method for fusing 2D fluoroscopic images with 2D angiographic images for real-time interventional procedure guidance includes using a 2-dimensional angiographic image to detect injection of a contrast agent into an anatomical structure, where the contrast agent first appears in a detected image frame, subtracting a background image from the detected image frame and binarizing the subtracted image frame to segment the anatomical structure from the subtracted image frame, registering the segmented anatomical structure with a predefined shape model of the anatomical structure to generate an anatomical mask, generating an anatomical probability map from the anatomical mask using intensity information from the subtracted image frame, where the anatomical probability map expresses a probability of a pixel in the subtracted image frame belonging to the anatomical structure, and fusing the angiographic image with one or more subsequently acquired 2-dimensional fluoroscopic images of the anatomical structure using the anatomical probability map.
摘要翻译： 用于将2D荧光图像与2D血管造影图像融合以用于实时介入手术指导的方法包括使用二维血管造影图像来检测造影剂的注射到解剖结构中，其中造影剂首先出现在检测到的图像帧中， 从检测到的图像帧中减去背景图像并对相减的图像帧进行二值化以从减除的图像帧分割解剖结构，使用解剖结构的预定义形状模型登记分割的解剖结构以生成解剖学掩模，产生解剖概率 使用来自所述相减图像帧的强度信息从所述解剖掩模映射，其中所述解剖概率图表示属于所述解剖结构的所述减去的图像帧中的像素的概率，并且将所述血管造影图像与一个或多个随后获取的二维 透视图像的肛门 omical结构使用解剖概率图。
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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
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。
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公开(公告)号：US20130060132A1
公开(公告)日：2013-03-07
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
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。
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