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1. 发明申请

WO2015059616A1 MRI WITH IMPROVED SEGMENTATION IN THE PRESENCE OF SUSCEPTIBILITY ARTIFACTS 审中-公开
标题翻译： MRI在存在可疑性文献的同时进行了改进
公开(公告)号：WO2015059616A1
公开(公告)日：2015-04-30
申请号：PCT/IB2014/065460
申请日：2014-10-20
申请人： KONINKLIJKE PHILIPS N.V. , UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
发明人： STEINBACH, Oliver Claus , KOHAN, Andres Alejandro , RUBBERT, Christian
IPC分类号： G01R33/48 , G01R33/565 , G01R33/58 , G01T1/29
CPC分类号： G01R33/565 , A61B5/055 , A61B5/7207 , G01R33/481 , G01R33/56536 , G01R33/58 , G01T1/1603 , G01T1/1647 , G01T1/2985
摘要： When generating MR images for segmentation and/or use in correcting attenuation in subsequent images using other modalities (e.g., PET, SPECT, etc.), a surrogate soft tissue device is provided and positioned on the patient near the artifact source to provide a surrogate soft tissue boundary that can be imaged and interpreted during segmentation to mitigate the deleterious effects of a local susceptibility artifact in the MR image. More specifically, a metal implant may generate a signal void in MRI which may confound the segmentation of the lung in the MR image in such a manner that the lung and the air outside of the patient is falsely identified as one connected region. By providing the surrogate soft tissue device and positioning it in such a manner that its soft tissue boundary separates the lung and the outside air despite the signal void, the segmentation can be improved, thereby improving the attenuation correction which is based on the segmentation result.
摘要翻译：当生成用于分割的MR图像和/或使用其他模式（例如，PET，SPECT等）来校正后续图像中的衰减时，提供替代软组织装置并将其定位在靠近假象源的患者身上以提供代理可以在分割期间成像和解释的软组织边界，以减轻MR图像中的局部敏感性伪影的有害影响。更具体地，金属植入物可以在MRI中产生信号空洞，这可能会混淆MR图像中的肺的分割，使得患者外部的肺和空气被错误地识别为一个连接区域。通过提供替代软组织装置并将其定位成使得其软组织边界分离肺和外部空气，尽管信号无效，可以提高分割，从而改善基于分割结果的衰减校正。

2. 发明申请

WO2014167522A1 METHOD FOR MODELING AND ACCOUNTING FOR CASCADE GAMMAS IN IMAGES 审中-公开
标题翻译：在图像中建立和计算CASCADE游戏的方法
公开(公告)号：WO2014167522A1
公开(公告)日：2014-10-16
申请号：PCT/IB2014/060612
申请日：2014-04-10
申请人： KONINKLIJKE PHILIPS N.V. , UNIVERSITY HOSPITALS MEDICAL GROUP, INC. , CASE WESTERN RESERVE UNIVERSITY
发明人： KOLTHAMMER, Jeffrey Allan , MUZIC, Raymond Frank , YE, Jinghan
IPC分类号： G06T11/00 , G01T1/16
CPC分类号： G06F17/5009 , G01T1/1647 , G01T1/2985 , G06F17/18 , G06T11/005
摘要： An imaging method and corresponding system (10) account for cascade gammas. Event data describing detected gamma rays emitted from a target volume of a subject are received. The detected gamma rays include cascade gammas emitted from a radionuclide within the target volume. Cascade and annihilation gamma emissions from the target volume and coincidence detection of the imaging system (10) are simulated using a Monte Carlo (MC) simulation technique to generate a cascade dataset comprised of annihilation coincidence events and cascade coincidence events. The event data is reconstructed into an image representation of the target volume with correction of cascade coincidence using the relationship between the annihilation coincidence events and the cascade coincidence events in the cascade data set.
摘要翻译：成像方法和相应的系统（10）考虑了级联伽马。接收描述从被摄体的目标体积发射的检测到的伽马射线的事件数据。检测到的伽马射线包括从目标体积内的放射性核素发射的级联伽马。使用蒙特卡罗（MC）模拟技术来模拟来自目标体积和成像系统（10）的重合检测的级联和消灭伽马发射，以产生由湮灭符合事件和级联重合事件组成的级联数据集。使用级联数据集中的湮灭符合事件和级联符合事件之间的关系，将事件数据重建为具有级联重合的目标卷的图像表示。

3. 发明申请

WO2013121332A1 SIMPLIFIED METHOD FOR ROBUST ESTIMATION OF PARAMETER VALUES 审中-公开
标题翻译：用于鲁棒估计参数值的简化方法
公开(公告)号：WO2013121332A1
公开(公告)日：2013-08-22
申请号：PCT/IB2013/051066
申请日：2013-02-08
申请人： KONINKLIJKE PHILIPS N.V. , UNIVERSITY HOSPITALS MEDICAL GROUP INC.
发明人： KOLTHAMMER, Jeffrey , MUSIC, Raymond
IPC分类号： A61B6/03 , A61B6/00 , G06T7/00 , G06T11/00
CPC分类号： G06F19/3437 , A61B6/032 , A61B6/037 , A61B6/503 , A61B6/507 , A61B6/5217 , G06F17/5009 , G06F19/00 , G06T7/0016 , G06T2207/10016 , G06T2207/10081 , G06T2207/10084 , G06T2207/10104 , G06T2207/30104 , G16H50/50
摘要： A method for estimating parameter values includes acquiring image data with an imaging apparatus, deriving a parameter model function from the image data, generating a N-dimensional grid, wherein N is a number of values of one or more non-linear terms of the derived model function, pre-calculating the one or more non-linear terms given the parameter model function and the designated values of the non-linear parameters, calculating one or more remaining model terms of the parameter model function, and displaying at least one of the one or more non-linear terms and remaining linear model terms.
摘要翻译：一种用于估计参数值的方法包括：利用成像装置获取图像数据，从图像数据中导出参数模型函数，生成N维网格，其中N是所导出的一个或多个非线性项的值的数量模型函数，预先计算给定参数模型函数的一个或多个非线性项和非线性参数的指定值，计算参数模型函数的一个或多个剩余模型项，并且显示至少一个一个或多个非线性项和剩余的线性模型项。

4. 发明申请

WO2009150565A3 REVERSE DATA RECONSTRUCTION FOR OPTIMAL TIME SAMPLING OF COUNTS IN PHYSIOLOGICAL LIST-MODE NUCLEAR IMAGING 审中-公开
公开(公告)号：WO2009150565A3
公开(公告)日：2009-12-17
申请号：PCT/IB2009/052290
申请日：2009-05-29
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , UNIVERSITY HOSPITALS MEDICAL GROUP, INC. , GAGNON, Daniel , TIPNIS, Sameer , MUZIC, Raymond
发明人： GAGNON, Daniel , TIPNIS, Sameer , MUZIC, Raymond
IPC分类号： A61B6/03
摘要： A diagnostic imaging device includes detector elements (16) for detecting ƴ-rays indicative of nuclear decay events. Pairs of concurrently detected γ-rays define lines of response (LORs) which are collected, time stamped, and compiled in list-mode. In tissue perfusion studies, it is beneficial to use the data that concurrently maximizes contrast and signal-to-noise ratio in the reconstructed images. Using the list-mode data, events in an adjustable temporal window (33) are reconstructed and the reconstructed images are analyzed to determine a figure of merit based on contrast and signal-to-noise properties of the image. By iteratively adjusting the temporal window, extending its start point (36) backwards in time, and repeating the reconstructing, analyzing, and adjusting steps, an image with an optimal figure of merit is obtained.

5. 发明申请

WO2016092394A1 SYSTEMS AND METHODS FOR TRANSLATION OF MEDICAL IMAGING USING MACHINE LEARNING 审中-公开
标题翻译：使用机器学习翻译医学成像的系统和方法
公开(公告)号：WO2016092394A1
公开(公告)日：2016-06-16
申请号：PCT/IB2015/058995
申请日：2015-11-20
申请人： KONINKLIJKE PHILIPS N.V. , CASE WESTERN RESERVE UNIVERSITY , UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
发明人： HU, Lingzhi , SHAO, Lingxiong , MUZIC, Raymond Frank , SU, Kuan-Hao , QIAN, Pengjiang
IPC分类号： G06T11/00
CPC分类号： G06T11/006 , G06T5/007 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20081 , G06T2207/20221
摘要： A medical image(24) with contrast of one imaging modality is emulated from images with other contrast characteristics. A plurality of input images (20) of a region of interest with the other contrast characteristics is received. A transform (22) which was generated by machine learning is applied to the corresponding plurality of input images (20) to generate a scalar value (38) or a vector value (38') representing the corresponding voxel (36ʹ) of the medical image (24) to be evaluated.
摘要翻译：具有一种成像模式的对比度的医学图像（24）从具有其他对比度特征的图像中模拟。接收具有其他对比度特性的感兴趣区域的多个输入图像（20）。将通过机器学习产生的变换（22）应用于对应的多个输入图像（20），以生成表示医学图像的相应体素（36'）的标量值（38）或矢量值（38'）（24）进行评估。

6. 发明申请

WO2013144799A1 MRI METHOD FOR ASSIGNING INDIVIDUAL PIXELS OR VOXELS TISSUE - SPECIFIC PET ATTENUATION VALUES 审中-公开
标题翻译：用于识别个体像素或VOXELS组织的MRI方法 - 特异性PET衰减值
公开(公告)号：WO2013144799A1
公开(公告)日：2013-10-03
申请号：PCT/IB2013/052288
申请日：2013-03-22
申请人： KONINKLIJKE PHILIPS N.V. , UNIVERSITY HOSPITALS MEDICAL GROUP INC
发明人： TRAUGHBER, Bryan James , KOTYS, Melanie Suzanne , MUZIC, Raymond Frank Jr
IPC分类号： G01R33/48 , G01T1/29
CPC分类号： G06T7/0012 , G01R33/481 , G01R33/543
摘要： A magnetic resonance (MR) system (10) generates an attenuation or density map. The system (10) includes a MR scanner (48) defining an examination volume (16) and at least one processor (54). The at least one processor (54) is programmed to control the MR scanner (48) to apply imaging sequences to the examination volume (16). In response to the imaging sequences, MR data sets of the examination volume (16) are received and analyzed to identify different tissue and/or material types found in pixels or voxels of the attenuation or density map. One or more tissue-specific and/or material-specific attenuation or density values are assigned to each pixel or voxel of the attenuation or density map based on the tissue and/or material type(s) identified as being in each pixel or voxel during the analysis of the MR data sets. In one embodimnt, the tissue and/or material types are identified on the basis of a time series of MR phase images.
摘要翻译：磁共振（MR）系统（10）产生衰减或密度图。系统（10）包括限定检查体积（MR）的MR扫描器（48）和至少一个处理器（54）。至少一个处理器（54）被编程为控制MR扫描器（48）以将成像序列应用于检查体积（16）。响应于成像序列，接收并分析检查体积（16）的MR数据集，以识别在衰减或密度图的像素或体素中发现的不同组织和/或材料类型。基于被识别为在每个像素或体素中的组织和/或材料类型，将衰减或密度图的每个像素或体素分配给一个或多个组织特异性和/或材料特异性衰减或密度值分析MR数据集。在一个实施例中，基于MR相图像的时间序列来识别组织和/或材料类型。

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