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1.发明授权Method and system for automatic prostate segmentation in magnetic resonance images 有权磁共振图像自动前列腺分割的方法和系统公开(公告)号：US09269156B2
公开(公告)日：2016-02-23
申请号：US13947300
申请日：2013-07-22
申请人： Neil Birkbeck , Jingdan Zhang , Martin Requardt , Berthold Kiefer , Peter Gall , Shaohua Kevin Zhou
发明人： Neil Birkbeck , Jingdan Zhang , Martin Requardt , Berthold Kiefer , Peter Gall , Shaohua Kevin Zhou
CPC分类号： G06T7/0081 , G06T5/009 , G06T7/11 , G06T7/149 , G06T2200/04 , G06T2207/10088 , G06T2207/20016 , G06T2207/20081 , G06T2207/30081
摘要： A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers.
摘要翻译： 公开了一种在磁共振（MR）图像数据中全息自动分割前列腺的方法和系统。 对患者的MR图像进行强度归一化，以调整MR图像和其他MR扫描之间的全局对比度变化，并且由于用于获取MR图像的直肠内线圈来调整MR图像内的强度变化。 通过使用边缘空间学习（MSL）将前列腺的学习统计形状模型与MR图像对准，获得MR图像中的初始前列腺分割。 使用一个或多个训练有素的边界分类器来改进初始前列腺分割。
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2.发明申请Method and System for Automatic Prostate Segmentation in Magnetic Resonance Images 有权磁共振图像中自动前列腺分割的方法与系统公开(公告)号：US20140029823A1
公开(公告)日：2014-01-30
申请号：US13947300
申请日：2013-07-22
申请人： Neil Birkbeck , Jingdan Zhang , Martin Requardt , Berthold Kiefer , Peter Gall , Shaohua Kevin Zhou
发明人： Neil Birkbeck , Jingdan Zhang , Martin Requardt , Berthold Kiefer , Peter Gall , Shaohua Kevin Zhou
IPC分类号： G06T7/00
CPC分类号： G06T7/0081 , G06T5/009 , G06T7/11 , G06T7/149 , G06T2200/04 , G06T2207/10088 , G06T2207/20016 , G06T2207/20081 , G06T2207/30081
摘要： A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers.
摘要翻译： 公开了一种在磁共振（MR）图像数据中全息自动分割前列腺的方法和系统。 对患者的MR图像进行强度归一化，以调整MR图像和其他MR扫描之间的全局对比度变化，并且由于用于获取MR图像的直肠内线圈来调整MR图像内的强度变化。 通过使用边缘空间学习（MSL）将前列腺的学习统计形状模型与MR图像对准，获得MR图像中的初始前列腺分割。 使用一个或多个训练有素的边界分类器来改进初始前列腺分割。
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3.发明授权Systems and method for automatic prostate localization in MR images using random walker segmentation initialized via boosted classifiers 有权使用通过增强分类器初始化的随机步行器分割的MR图像中的自动前列腺定位的系统和方法公开(公告)号：US08811701B2
公开(公告)日：2014-08-19
申请号：US13291615
申请日：2011-11-08
申请人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
发明人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
CPC分类号： G06K9/6226 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10088 , G06T2207/20081 , G06T2207/20156 , G06T2207/30081
摘要： Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.
摘要翻译： T2加权MR图像中的自动前列腺定位有利于劳动密集型癌症成像技术。 提供了准确分割MR图像前列腺的方法和系统，并解决了前列腺解剖和疾病，强度不均匀性以及直肠内线圈引起的假象的巨大变化。 用基于强度的多级高斯混合模型预期最大化（GMM-EM）原始MR图像分段训练的增强分类器自动检测前列腺的中心。 形状模型与多标签随机Walker（MLRW）结合使用，以限制MLRW内的播种过程。
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4.发明申请Systems and Method for Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized Via Boosted Classifiers 有权使用随机步行器分割的MR图像中自动前列腺定位的系统和方法通过增强分类器初始化公开(公告)号：US20130064439A1
公开(公告)日：2013-03-14
申请号：US13291615
申请日：2011-11-08
申请人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
发明人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
CPC分类号： G06K9/6226 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10088 , G06T2207/20081 , G06T2207/20156 , G06T2207/30081
摘要： Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.
摘要翻译： T2加权MR图像中的自动前列腺定位有利于劳动密集型癌症成像技术。 提供了准确分割MR图像前列腺的方法和系统，并解决了前列腺解剖和疾病，强度不均匀性以及直肠内线圈引起的假象的巨大变化。 用基于强度的多级高斯混合模型预期最大化（GMM-EM）原始MR图像分段训练的增强分类器自动检测前列腺的中心。 形状模型与多标签随机Walker（MLRW）结合使用，以限制MLRW内的播种过程。
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公开(公告)号：US20100286517A1
公开(公告)日：2010-11-11
申请号：US12774798
申请日：2010-05-06
申请人： Ali Kamen , Wolfgang Wein , Parmeshwar Khurd , Mamadou Diallo , Ralf Nanke , Jens Fehre , Berthold Kiefer , Martin Requardt , Clifford Weiss
发明人： Ali Kamen , Wolfgang Wein , Parmeshwar Khurd , Mamadou Diallo , Ralf Nanke , Jens Fehre , Berthold Kiefer , Martin Requardt , Clifford Weiss
CPC分类号： A61B10/0241 , A61B8/4254 , A61B34/20 , A61B2017/00274 , A61B2017/00694 , A61B2017/3413 , A61B2018/00547 , A61B2034/105 , A61B2034/107 , A61B2034/2051 , A61B2090/367 , A61B2090/374 , A61B2090/378
摘要： In a method for image guided prostate cancer needle biopsy, a first registration is performed to match a first image of a prostate to a second image of the prostate. Third images of the prostate are acquired and compounded into a three-dimensional (3D) image. The prostate in the compounded 3D image is segmented to show its border. A second registration and then a third registration different from the second registration is performed on distance maps generated from the prostate borders of the first image and the compounded 3D image, wherein the first and second registrations are based on a biomechanical property of the prostate. A region of interest in the first image is mapped to the compounded 3D image or a fourth image of the prostate acquired with the second modality.
摘要翻译： 在用于图像引导的前列腺癌针活检的方法中，首先进行配准以将前列腺的第一图像与前列腺的第二图像相匹配。 获取前列腺的第三图像并将其复合成三维（3D）图像。 复合3D图像中的前列腺被分割以显示其边界。 在从第一图像和复合3D图像的前列腺边界产生的距离图上执行与第二登记不同的第二登记，然后第三登记，其中第一和第二登记基于前列腺的生物力学性质。 将第一图像中的感兴趣区域映射到复合3D图像或用第二模态获取的前列腺的第四图像。
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公开(公告)号：US09521994B2
公开(公告)日：2016-12-20
申请号：US12774798
申请日：2010-05-06
申请人： Ali Kamen , Wolfgang Wein , Parmeshwar Khurd , Mamadou Diallo , Ralf Nanke , Jens Fehre , Berthold Kiefer , Martin Requardt , Clifford Weiss
发明人： Ali Kamen , Wolfgang Wein , Parmeshwar Khurd , Mamadou Diallo , Ralf Nanke , Jens Fehre , Berthold Kiefer , Martin Requardt , Clifford Weiss
CPC分类号： A61B10/0241 , A61B8/4254 , A61B34/20 , A61B2017/00274 , A61B2017/00694 , A61B2017/3413 , A61B2018/00547 , A61B2034/105 , A61B2034/107 , A61B2034/2051 , A61B2090/367 , A61B2090/374 , A61B2090/378
摘要： In a method for image guided prostate cancer needle biopsy, a first registration is performed to match a first image of a prostate to a second image of the prostate. Third images of the prostate are acquired and compounded into a three-dimensional (3D) image. The prostate in the compounded 3D image is segmented to show its border. A second registration and then a third registration different from the second registration is performed on distance maps generated from the prostate borders of the first image and the compounded 3D image, wherein the first and second registrations are based on a biomechanical property of the prostate. A region of interest in the first image is mapped to the compounded 3D image or a fourth image of the prostate acquired with the second modality.
摘要翻译： 在用于图像引导的前列腺癌针活检的方法中，首先进行配准以将前列腺的第一图像与前列腺的第二图像相匹配。 获取前列腺的第三图像并将其复合成三维（3D）图像。 复合3D图像中的前列腺被分割以显示其边界。 在从第一图像和复合3D图像的前列腺边界产生的距离图上执行与第二登记不同的第二登记，然后第三登记，其中第一和第二登记基于前列腺的生物力学性质。 将第一图像中的感兴趣区域映射到复合3D图像或用第二模态获取的前列腺的第四图像。
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公开(公告)号：US20090027052A1
公开(公告)日：2009-01-29
申请号：US12213233
申请日：2008-06-17
申请人： Jurgen Kampmeier , Gunther Platsch , Martin Requardt , Stefan Roll , Sebastian Schmidt , Kristin Schmiedehausen , Michael Szimtenings
发明人： Jurgen Kampmeier , Gunther Platsch , Martin Requardt , Stefan Roll , Sebastian Schmidt , Kristin Schmiedehausen , Michael Szimtenings
IPC分类号： G01R33/483 , A61B5/055
CPC分类号： A61B6/037 , A61B5/055 , A61B6/5247 , A61B90/36 , A61B2090/364 , A61B2090/374
摘要： A PET examination which acquires a data record of the body of a patient is carried out during at least one embodiment of a method for acquiring measured data. On the basis of the measured values of the data record, at least one region of interest in the body of the patient is determined, in which at least one examination of at least one embodiment of a method is carried out.
摘要翻译： 在获取测量数据的方法的至少一个实施例中，进行获取患者身体的数据记录的PET检查。 基于数据记录的测量值，确定患者身体中的至少一个感兴趣区域，其中对方法的至少一个实施例的至少一次检查被执行。
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8.发明申请Method and magnetic resonance tomography apparatus for producing phase-coded flow images 有权用于生成相位编码流图像的方法和磁共振断层摄影装置公开(公告)号：US20050156593A1
公开(公告)日：2005-07-21
申请号：US10997706
申请日：2004-11-24
CPC分类号： G01R33/56316 , A61B5/0263 , G01R33/5608 , G06T7/11 , G06T7/168 , G06T7/187 , G06T2207/10088 , G06T2207/30048
摘要： In a method and MR apparatus for the automatic segmentation of flow images acquired by magnetic resonance tomography for the depiction of tissue or organs traversed with fluid such as blood, at least one phase image of a selected region of the subject is acquired by magnetic resonance tomography, and fluid-traversed regions in the at least one phase image are automatically segmented.
摘要翻译： 在用于通过磁共振断层扫描获取的用于描绘用诸如血液的流体穿过的组织或器官的流动图像的自动分割的方法和MR装置中，通过磁共振断层扫描获得受试者的选定区域的至少一个相位图像 ，并且至少一个相位图像中的流体横越区域被自动分割。
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公开(公告)号：US20050038370A1
公开(公告)日：2005-02-17
申请号：US10915382
申请日：2004-08-11
申请人： Rainer Kuth , Martin Requardt
发明人： Rainer Kuth , Martin Requardt
CPC分类号： A61B1/041 , A61B1/273 , A61B5/6882 , A61B17/0401 , A61B34/70 , A61B34/72 , A61B2017/0412 , A61B2017/042 , A61B2017/0427 , A61B2017/0435 , A61B2017/0437 , A61B2017/0464
摘要： A fastening device is for anchoring a surgical or diagnostic medical aid in the tissue of a human or animal hollow organ. The fastening device includes an anchor head, which is configured to penetrate the tissue; a driving device for driving the anchor head into the tissue; and a trigger device to trigger the driving of the anchor head into the tissue.
摘要翻译： 紧固装置用于将手术或诊断医疗辅助件锚定在人或动物中空器官的组织中。 所述紧固装置包括构造成穿透所述组织的锚头; 用于将锚头驱动到组织中的驱动装置; 以及触发装置，用于触发将锚头驱动到组织中。
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10.发明授权Method and control apparatus for tracking a contrast agent in an examination subject using a medical imaging device 失效用于使用医学成像装置跟踪检查对象中的造影剂的方法和控制装置公开(公告)号：US06397097B1
公开(公告)日：2002-05-28
申请号：US09268776
申请日：1999-03-16
申请人： Martin Requardt
发明人： Martin Requardt
IPC分类号： A61B500
CPC分类号： G01R33/5601 , A61B5/055 , A61B6/481 , A61B6/504
摘要： In a method and control apparatus for tracking a contrast agent using an imaging medical device a test bolus of a contrast agent is initially injected into an examination subject, followed by an injection of a main bolus at a time interval of &Dgr;ti. The arrival of the test bolus in the observation volume is chronologically determined by periodically repeated survey measurements. An image data measurement is started at a time interval &Dgr;tm subsequent to the detection of the test bolus, this time interval &Dgr;tm being defined according to the prescribed time interval &Dgr;ti.
摘要翻译： 在使用成像医疗装置跟踪造影剂的方法和控制装置中，将造影剂的试验药剂最初注射到检查对象中，随后以DELTAti的时间间隔注射主推注。 测试推注到观察体积中的时间是通过周期性重复测量测量按时间顺序确定的。 在检测推测之后的时间间隔DELTAtm开始图像数据测量，该时间间隔DELTAtm根据规定的时间间隔DELTAti被定义。
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