专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

31. 发明申请

WO2018127507A1 STANDARDIZED UPTAKE VALUE (SUV) GUIDED RECONSTRUCTION CONTROL FOR IMPROVED OUTCOME ROBUSTNESS IN POSITRON EMISSION TOMOGRAPHY (PET) IMAGING 审中-公开
公开(公告)号：WO2018127507A1
公开(公告)日：2018-07-12
申请号：PCT/EP2018/050111
申请日：2018-01-03
申请人： KONINKLIJKE PHILIPS N.V.
发明人： ZHANG, Bin , BAI, Chuanyong , LIN, Sushen , ANDREYEV, Andriy , HU, Zhiqiang
IPC分类号： G06T11/00
摘要： A nuclear medicine image reconstruction method generates a reconstructed image (44) by performing iterative image reconstruction (30, 130) on nuclear medicine imaging data (22). The iterative image reconstruction produces a sequence of update images (34, 36, 134, 136). During the iterative image reconstruction, a standardized uptake value (SUV) transform (40) is applied to convert an update image (34, 36) to an update SUV image (42, 46). The SUV transform scales values of voxels of the update image to SUV values using scaling factors including at least a body size metric and a dose metric. During the iterative image reconstruction, at least one parameter used in an image update of the iterative image reconstruction is adjusted using the update SUV image. For example, a parameter of a prior or filter (38) incorporated into an image reconstruction update step (32) or used in filtering of an update image (36) may be adjusted.

32. 发明申请

WO2018115039A1 IMAGE-ASSISTED AUTOMATIC PATIENT POSITIONING FOR IMPROVED IMAGING PERFORMANCE 审中-公开
公开(公告)号：WO2018115039A1
公开(公告)日：2018-06-28
申请号：PCT/EP2017/083679
申请日：2017-12-20
申请人： KONINKLIJKE PHILIPS N.V.
发明人： BAI, Chuanyong , ANDREYEV, Andriy , MAO, Yanfei , ZHANG, Bin , SONG, Xiyun , YE, Jinghan , DWIVEDI, Shekhar , HU, Zhiqiang
IPC分类号： A61B6/03 , A61B6/04 , A61B6/00
摘要： An imaging apparatus includes a nuclear medicine imaging device (10), a patient table (14), and a table controller (18) comprising an electronic processor and actuators configured to position the patient table along an axial direction and in a transverse plane that is transverse to the axial direction. An automatic positioning engine (40) comprises an electronic processor (42) programmed to determine an optimal position of the patient table in the transverse plane for imaging a target of interest in a patient based on a prior image (20, 34) of the patient. The table controller operates the patient table to position the patient table in accord with the determined optimal position of the patient table.

33. 发明申请

WO2018108641A1 DEAD PIXEL CORRECTION FOR DIGITAL PET RECONSTRUCTION 审中-公开
公开(公告)号：WO2018108641A1
公开(公告)日：2018-06-21
申请号：PCT/EP2017/081599
申请日：2017-12-06
申请人： KONINKLIJKE PHILIPS N.V.
发明人： SONG, Xiyun , BAI, Chuanyong , ANDREYEV, Andriy , ZHANG, Bin , LIN, Sushen , YE, Jinghan , MILLER, Michael Allen , HU, Zhiqiang
IPC分类号： G01T1/29
摘要： A PET detector array (8) comprising detector pixels acquires PET detection counts along lines of response (LORs). The counts are reconstructed to generate a reconstructed PET image (36, 46). The reconstructing is corrected for missing LORs which are missing due to dead detector pixels of the PET detector array. The correction may be by estimating counts along the missing LORs (60) by interpolating counts along LORs (66) neighboring the missing LORs. The interpolation may be iterative to handle contiguous groups of missing detector pixels. The correction may be by computing a sensitivity matrix having matrix elements corresponding to image elements (80, 82) of the reconstructed PET image. In this case, each matrix element is computed as a summation over all LORs intersecting the corresponding image element excepting the missing LORs. The computed sensitivity matrix is used in the reconstructing.

34. 发明申请

WO2018099750A1 HEART SEGMENTATION METHODOLOGY FOR CARDIAC MOTION CORRECTION 审中-公开
公开(公告)号：WO2018099750A1
公开(公告)日：2018-06-07
申请号：PCT/EP2017/079783
申请日：2017-11-20
申请人： KONINKLIJKE PHILIPS N.V.
发明人： DWIVEDI, Shekhar , BAI, Chuanyong , HU, Zhiqiang
IPC分类号： G06T7/11 , G06T7/12 , G06T7/149
摘要： A machine learning guided image segmentation process is performed by an electronic processor (10). Image segmentation (22) is performed to generate an initial segmented representation (50) of an anatomical structure in the medical image. Parameters of a geometric shape are fitted (52) to the anatomical structure in the medical image to produce initial fitted shape parameters (54). A classification is assigned for the anatomical structure in the medical image using at least one classifier (60) operating on the initial fitted shape parameters and the initial segmented representation of the anatomical structure. A final segmented representation (72) of the anatomical structure in the medical image is generated by operations including repeating (70) the image segmentation using the classification as prior knowledge. In illustrative embodiments, the anatomical structure is a heart and the geometric shape is an ellipsoid.

35. 发明申请

WO2018060106A1 ITERATIVE IMAGE RECONSTRUCTION WITH DYNAMIC SUPPRESSION OF FORMATION OF NOISE-INDUCED ARTIFACTS 审中-公开
标题翻译：动态抑制噪声诱发伪影形成的迭代图像重建
公开(公告)号：WO2018060106A1
公开(公告)日：2018-04-05
申请号：PCT/EP2017/074152
申请日：2017-09-25
申请人： KONINKLIJKE PHILIPS N.V.
发明人： ANDREYEV, Andriy , BAI, Chuanyong , ZHANG, Bin , YANG, Faguo , DWIVEDI, Shekhar , HU, Zhiqiang
IPC分类号： G06T11/00
摘要： Iterative reconstruction (20) of imaging data is performed to generate a sequence of update images (22) terminating at a reconstructed image. During the iterative reconstruction, at least one of an update image and a parameter of the iterative reconstruction is adjusted using an adjustment process separate from the iterative reconstruction. In some embodiments using an edge-preserving regularization prior (26), the adjustment process (30) adjusts an edge preservation threshold to reduce gradient steepness above which edge preservation applies for later iterations compared with earlier iterations. In some embodiments, the adjustment process includes determining (36, 38) for each pixel, voxel, or region of a current update image whether its evolution prior to the current update image (22) satisfies an artifact feature criterion. A local noise suppression operation (40) is performed on the pixel, voxel, or region if the evolution satisfies the artifact feature criterion and is not performed otherwise.
摘要翻译：执行成像数据的迭代重建（20）以生成终止于重构图像的更新图像序列（22）。在迭代重建期间，使用与迭代重建分开的调整处理来调整迭代重建的更新图像和参数中的至少一个。在一些使用先验边缘保留正则化的实施例中（26），调整过程（30）调整边缘保存阈值以减少梯度陡度，高于该梯度陡度，与先前的迭代相比，对于后面的迭代应用边缘保留。在一些实施例中，调整过程包括为当前更新图像的每个像素，体素或区域确定其当前更新图像（22）之前的其演变是否满足伪影特征标准（36,38）。如果演变满足伪影特征标准并且不以其他方式执行，则对像素，体素或区域执行局部噪声抑制操作（40）。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式