-
1.发明申请2D3D REGISTRATION FOR MR-X RAY FUSION UTILIZING ONE ACQUISITION OF MR DATA 审中-公开使用MR数据采集的MR-X射线融合的2D3D注册公开(公告)号：US20130190602A1
公开(公告)日：2013-07-25
申请号：US13353633
申请日：2012-01-19
CPC分类号： A61B5/055 , A61B5/0035 , A61B5/7425 , A61B6/032 , A61B6/5247 , G06T7/11 , G06T7/33 , G06T2207/10088 , G06T2207/10116 , G06T2207/10124 , G06T2207/30008 , G06T2207/30016
摘要： Systems and methods for 2D3D registration of apply MR volumes and X-ray images using DRR techniques. A bone classifier is trained from co-registered UTE1, UTE2 and CT prior images. Dual-echo MR UTE1 and UTE2 images are acquired from a patient. The bone structure of the patient is classified and a labeled segmentation is generated. A DRR image is generated from the labeled segmentation and is registered with an X-ray image of the patient. The registration methods are implemented on a processor based system.
摘要翻译： 使用DRR技术应用MR体积和X射线图像的2D3D注册的系统和方法。 骨分类器由共同注册的UTE1，UTE2和CT先前图像进行训练。 从患者获取双回波MR UTE1和UTE2图像。 对患者的骨骼结构进行分类，并生成标记分割。 从标记的分割生成DRR图像，并且与患者的X射线图像一起登记。 注册方法在基于处理器的系统上实现。
-
2.发明授权Method for creating attenuation correction maps for PET image reconstruction 有权用于创建PET图像重建的衰减校正图的方法公开(公告)号：US09135695B2
公开(公告)日：2015-09-15
申请号：US13717988
申请日：2012-12-18
CPC分类号： G06T7/0012 , G06T5/008 , G06T5/50 , G06T2207/10088 , G06T2207/10104 , G06T2207/30016
摘要： A method (100) that generates attenuation correction maps for the reconstruction of PET data using MR images, such as, MR ultra-fast TE (UTE) images, Dixon MR images, as well as MR images obtained using other MR imaging methods.
摘要翻译： 一种方法（100），其使用诸如MR超快TE（UTE）图像，Dixon MR图像的MR图像以及使用其他MR成像方法获得的MR图像来生成用于重建PET数据的衰减校正图。
-
公开(公告)号：US08774482B2
公开(公告)日：2014-07-08
申请号：US13109159
申请日：2011-05-17
CPC分类号： G06T7/0028 , G01R33/481 , G01R33/4812 , G01R33/4816 , G06T7/11 , G06T7/33 , G06T2207/10088 , G06T2207/30008
摘要： A method for generating a pseudo-computed tomography (CT) image volume includes acquiring a first magnetic resonance (MR) image volume (UTE1) using an ultra-short echo time and acquiring a second MR image volume (UTE2) using a conventional echo time that is longer than the ultra-short echo time. The acquired UTE1 and UTE2 image volumes are normalized. A mask for an anatomical structure featured in the normalized UTE1 and UTE2 image volumes is created and bone regions are segmented from the normalized UTE1 and UTE2 image volumes using the created mask and one or more trained classifiers. A pseudo-CT image is constructed from the normalized UTE1 and UTE2 image volumes, the created mask, and the segmented bone regions.
摘要翻译： 一种用于生成伪计算机断层摄影（CT）图像体积的方法包括使用超短回波时间获取第一磁共振（MR）图像体积（UTE1），并使用传统回波时间获取第二MR图像体积（UTE2） 这比超短的回波时间长。 获得的UTE1和UTE2图像体积被归一化。 创建用于在归一化UTE1和UTE2图像体积中特征的解剖结构的掩模，并且使用所创建的掩模和一个或多个训练分类器从标准化的UTE1和UTE2图像体积分割骨区域。 从正常化UTE1和UTE2图像体积，创建的掩模和分割的骨区域构建伪CT图像。
-
公开(公告)号：US08433114B2
公开(公告)日：2013-04-30
申请号：US12556929
申请日：2009-09-10
IPC分类号： G06K9/00
CPC分类号： G06K9/6206 , G06K2209/05 , G06T3/0081 , G06T2207/10072 , G06T2207/30004
摘要： A method and system for improving the quality of composing image volumes using deformable registration, and a gradual elastic morphing to create a seamless whole body volume image from several component volumes from a 3D medical imager.
摘要翻译： 一种用于使用可变形配准提高组合图像体积的质量的方法和系统，以及逐渐的弹性变形，以从3D医疗成像器的几个组件体积创建无缝全身体积图像。
-
5.发明申请公开(公告)号：US20130266198A1
公开(公告)日：2013-10-10
申请号：US13717988
申请日：2012-12-18
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T5/008 , G06T5/50 , G06T2207/10088 , G06T2207/10104 , G06T2207/30016
摘要： A method (100) that generates attenuation correction maps for the reconstruction of PET data using MR images, such as, MR ultra-fast TE (UTE) images, Dixon MR images, as well as MR images obtained using other MR imaging methods.
摘要翻译： 一种方法（100），其使用诸如MR超快TE（UTE）图像，Dixon MR图像的MR图像以及使用其他MR成像方法获得的MR图像来生成用于重建PET数据的衰减校正图。
-
公开(公告)号：US20110286649A1
公开(公告)日：2011-11-24
申请号：US13109159
申请日：2011-05-17
IPC分类号： G06K9/00
CPC分类号： G06T7/0028 , G01R33/481 , G01R33/4812 , G01R33/4816 , G06T7/11 , G06T7/33 , G06T2207/10088 , G06T2207/30008
摘要： A method for generating a pseudo-computed tomography (CT) image volume includes acquiring a first magnetic resonance (MR) image volume (UTE1) using an ultra-short echo time and acquiring a second MR image volume (UTE2) using a conventional echo time that is longer than the ultra-short echo time. The acquired UTE1 and UTE2 image volumes are normalized. A mask for an anatomical structure featured in the normalized UTE1 and UTE2 image volumes is created and bone regions are segmented from the normalized UTE1 and UTE2 image volumes using the created mask and one or more trained classifiers. A pseudo-CT image is constructed from the normalized UTE1 and UTE2 image volumes, the created mask, and the segmented bone regions.
摘要翻译： 一种用于生成伪计算机断层摄影（CT）图像体积的方法包括使用超短回波时间获取第一磁共振（MR）图像体积（UTE1），并使用传统回波时间获取第二MR图像体积（UTE2） 这比超短的回波时间长。 获得的UTE1和UTE2图像体积被归一化。 创建用于在归一化UTE1和UTE2图像体积中特征的解剖结构的掩模，并且使用所创建的掩模和一个或多个训练分类器从标准化的UTE1和UTE2图像体积分割骨区域。 从正常化UTE1和UTE2图像体积，创建的掩模和分割的骨区域构建伪CT图像。
-
公开(公告)号：US20100061612A1
公开(公告)日：2010-03-11
申请号：US12556929
申请日：2009-09-10
IPC分类号： G06K9/00
CPC分类号： G06K9/6206 , G06K2209/05 , G06T3/0081 , G06T2207/10072 , G06T2207/30004
摘要： A method and system for improving the quality of composing image volumes using deformable registration, and a gradual elastic morphing to create a seamless whole body volume image from several component volumes from a 3D medical imager.
摘要翻译： 一种用于使用可变形配准提高组合图像体积的质量的方法和系统，以及逐渐的弹性变形，以从3D医疗成像器的几个组件体积创建无缝全身体积图像。
-
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。
-
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
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。
-
10.发明授权Automatic registration of image series with varying contrast based on synthetic images derived from intensity behavior model 有权基于从强度行为模型导出的合成图像，自动配准具有不同对比度的图像序列公开(公告)号：US08848990B2
公开(公告)日：2014-09-30
申请号：US13237198
申请日：2011-09-20
申请人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
发明人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
IPC分类号： G06K9/00 , G06T5/50 , G06T7/00 , G01R33/44 , G01R33/565
CPC分类号： G06T5/50 , G01R33/448 , G01R33/56509 , G06T7/30 , G06T2207/10088 , G06T2207/20201 , G06T2207/30048
摘要： A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.
摘要翻译： 用于在一系列磁共振（MR）图像中执行运动补偿的方法包括获取沿着MR恢复曲线横跨不同点的一组MR图像帧。 使用与MR恢复曲线相关的先前知识，为每个所获取的MR图像帧生成无运动合成图像。 所获取的MR图像中的每一个被注册到其对应的生成的合成图像。 基于其对应的生成的已经被注册的合成图像来校正所获取的MR图像的每一个内的运动。
-
-
-
-
-
-
-
-
-
搜索结果
63 条记录 (耗时 0.024 秒)