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    • 5. 发明申请
    • RESTORATION OF THE NUCLEAR MEDICINE 2D PLANAR IMAGE BY ITERATIVE CONSTRAINED DECONVOLUTION
    • 通过迭代约束解卷积恢复核医学2D平面图像
    • US20090202125A1
    • 2009-08-13
    • US11719420
    • 2005-11-04
    • Zuo ZhaoLingxiong ShaoJinghan Ye
    • Zuo ZhaoLingxiong ShaoJinghan Ye
    • G06K9/00G06T5/00G01T1/29
    • G06T5/003G06T2207/10072G06T2207/30004
    • A medical imaging system (10) includes at least one radiation detection head (16) disposed adjacent a subject receiving aperture (18) to detect radiation from a subject. The detected radiation is reconstructed into at least one initial 2D projection image (μ). Resolution in each initial 2D image (μ) is restored by using the extended iterative constrained deconvolution algorithm by incorporating different estimates of the system response function which estimates correspond to different distances between the detection head and the origins of the detected radiation. Measured response functions are used to restore a series of images. The optimal image is determined by automatic searching with the figure of merit, by user's observation, or by using blind deconvolution for a concurrent estimating of the system response function and updating the original image.
    • 医疗成像系统(10)包括邻近被检体接收孔(18)设置的至少一个放射线检测头(16),以检测来自受试者的辐射。 将检测到的辐射重建为至少一个初始2D投影图像(μ)。 通过使用扩展迭代约束去卷积算法,通过并入系统响应函数的不同估计值来恢复每个初始2D图像(mu)中的分辨率,该估计对应于检测头与检测到的辐射源之间的不同距离。 测量的响应功能用于恢复一系列图像。 通过用户的观察自动搜索,通过使用盲解卷积来同时估计系统响应函数和更新原始图像来确定最佳图像。
    • 6. 发明授权
    • Physiological model based non-rigid image registration
    • 基于生理模型的非刚性图像配准
    • US07117026B2
    • 2006-10-03
    • US10167621
    • 2002-06-12
    • Lingxiong ShaoJinghan YeAngela J. Da SilvaZuo Zhao
    • Lingxiong ShaoJinghan YeAngela J. Da SilvaZuo Zhao
    • A61B5/05
    • G06T7/20A61B6/037A61B6/583G06F19/00G06T7/38G06T2207/30004
    • A method for non-rigid registration and fusion of images with physiological modeled organ motions resulting from respiratory motion and cardiac motion that are mathematically modeled with physiological constraints. A method of combining images comprises the steps of obtaining a first image dataset (24) of a region of interest of a subject and obtaining a second image dataset (34) of the region of interest of the subject. Next, a general model of physiological motion for the region of interest is provided (142). The general model of physiological motion is adapted with data derived from the first image data set (140) to provide a subject specific physiological model (154). The subject specific physiological model is applied (172) to the second image dataset (150) to provide a combined image (122).
    • 一种用于非正常对准和融合图像与由呼吸运动和心脏运动产生的生理建模器官运动的方法,其以数学模型用生理约束来建模。 一种组合图像的方法包括以下步骤:获得受试者感兴趣区域的第一图像数据集(24),并获得对象区域的第二图像数据集(34)。 接下来,提供感兴趣区域的生理运动的一般模型(142)。 生理运动的一般模型适应于从第一图像数据集(140)导出的数据,以提供受试者特异性生理模型(154)。 将主题特定生理模型(172)应用于第二图像数据集(150)以提供组合图像(122)。
    • 7. 发明授权
    • Restoration of the nuclear medicine 2D planar image by iterative constrained deconvolution
    • 通过迭代约束去卷积恢复核医学2D平面图像
    • US07840052B2
    • 2010-11-23
    • US11719420
    • 2005-11-04
    • Zuo ZhaoLingxiong ShaoJinghan Ye
    • Zuo ZhaoLingxiong ShaoJinghan Ye
    • G06K9/40G06T5/20
    • G06T5/003G06T2207/10072G06T2207/30004
    • A medical imaging system (10) includes at least one radiation detection head (16) disposed adjacent a subject receiving aperture (18) to detect radiation from a subject. The detected radiation is reconstructed into at least one initial 2D projection image (μ). Resolution in each initial 2D image (μ) is restored by using the extended iterative constrained deconvolution algorithm by incorporating different estimates of the system response function which estimates correspond to different distances between the detection head and the origins of the detected radiation. Measured response functions are used to restore a series of images. The optimal image is determined by automatic searching with the figure of merit, by user's observation, or by using blind deconvolution for a concurrent estimating of the system response function and updating the original image.
    • 医疗成像系统(10)包括邻近被检体接收孔(18)设置的至少一个放射线检测头(16),以检测来自受试者的辐射。 将检测到的辐射重建成至少一个初始2D投影图像(μ)。 通过使用扩展迭代约束去卷积算法,通过并入系统响应函数的不同估计值来估计每个初始2D图像(μ)中的分辨率,其估计对应于检测头与检测到的辐射源之间的不同距离。 测量的响应功能用于恢复一系列图像。 通过用户的观察自动搜索,通过使用盲解卷积来同时估计系统响应函数和更新原始图像来确定最佳图像。
    • 10. 发明授权
    • Sparse data reconstruction for gated X-ray CT imaging
    • 门控X线CT成像的稀疏数据重建
    • US09025846B2
    • 2015-05-05
    • US13576823
    • 2011-01-12
    • Hongjie LiangJinghan YeJiong WangLingxiong Shao
    • Hongjie LiangJinghan YeJiong WangLingxiong Shao
    • G06K9/00G06T7/00G06T11/00
    • G06T7/0012G06T11/006G06T2211/412
    • When imaging a compact structure, such as a calcium deposit in a patient's heart, a slow scan (e.g., less than approximately 6 rpm) CT data acquisition is performed, wherein data is continuously but sparsely acquired during around a 360° revolution around the patient. Arc segments are defined that equate to one heart cycle (e.g., heartbeat) given the patient's heart rate and the speed of the CT gantry. Electrocardiogram signal data is used to identify sets of acquired projection data that correspond to each of a plurality of heart cycle phases during which the heart is relatively still. A sparse reconstruction algorithm is executed on the identified sets of sparse projection data to generate images for each heart cycle phase from the scan data acquired for that phase across all heart cycles.
    • 当对紧密结构(例如患者心脏中的钙沉积物)进行成像时,执行慢扫描(例如,小于约6rpm)CT数据采集,其中数据在围绕患者的360度旋转周围连续但稀疏地获取 。 定义弧段,其等同于给定患者的心率和CT台架的速度的一个心脏周期(例如,心跳)。 心电图信号数据用于识别与心脏相对静止的多个心脏周期阶段中的每一个相对应的获取的投影数据集。 对所识别的稀疏投影数据集执行稀疏重建算法,以从针对所述心脏周期的该阶段获取的扫描数据生成每个心脏周期相位的图像。