公开(公告)号：US08712134B2

公开(公告)日：2014-04-29

申请号：US13275679

申请日：2011-10-18

Applicant: Alexander Zamyatin ,  Daxin Shi ,  Mihail Petru Dinu

Inventor： Alexander Zamyatin ,  Daxin Shi ,  Mihail Petru Dinu

IPC: G06K9/00 ,  A61B6/00 ,  A61B5/05

CPC classification number: G06T11/005 ,  G06T2211/424 ,  G06T2211/432

Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique from cone beam data that has been expanded by adding additional data, and an instance of the iteration process is weighted according to a corresponding validation weight during the reconstruction. Optionally, an instance of the iteration process is weighted according to a combination of weights during the reconstruction. The predetermined combination of the weights includes axial weights based upon a validity value of the expanded data and statistical weights.

Abstract translation: 图像生成方法和系统使用已经通过添加附加数据扩展的锥形束数据使用预定的迭代重建技术来生成图像，并且在重建期间根据相应的验证权重对迭代过程的实例进行加权。 可选地，根据重建期间权重的组合对迭代过程的实例进行加权。 权重的预定组合包括基于扩展数据和统计权重的有效性的轴向权重。

公开(公告)号：US20130336562A1

公开(公告)日：2013-12-19

申请号：US13524832

申请日：2012-06-15

Applicant: Alexander ZAMYATIN ,  Daxin SHI ,  Mihail Petru DINU

Inventor： Alexander ZAMYATIN ,  Daxin SHI ,  Mihail Petru DINU

IPC: G06T5/00

CPC classification number: G06T11/006 ,  G06T2211/424

Abstract: The CT imaging system optimizes its image generation by adaptively changing parameters in an iterative reconstruction algorithm based upon certain information such as statistical information. The coefficients for the parameters include at least a first coefficient for a predetermined data fidelity process and a second coefficient for a predetermined regularization process in an iterative reconstruction algorithm. The iterative reconstruction algorithm includes the ordered subsets simultaneous algebraic reconstruction technique (OSSART) and the simultaneous algebraic reconstruction technique (SART). The first coefficient and the second coefficient are independently determined using some predetermined statistical information such as noise and or error in matching the real data.

Abstract translation: CT成像系统通过基于某些信息（如统计信息）在迭代重建算法中自适应地改变参数来优化其图像生成。 用于参数的系数包括用于预定数据保真度处理的至少第一系数和用于迭代重建算法中的预定正则化处理的第二系数。 迭代重建算法包括有序子集同时代数重构技术（OSSART）和同时代数重建技术（SART）。 第一系数和第二系数使用诸如噪声和/或误差之类的预定统计信息来独立地确定。

公开(公告)号：US09147229B2

公开(公告)日：2015-09-29

申请号：US13354851

申请日：2012-01-20

Applicant: Yu Zou ,  Daxin Shi

Inventor： Yu Zou ,  Daxin Shi

IPC: G06K9/00 ,  G06K9/40 ,  G06T11/00 ,  G06T5/00

CPC classification number: G06T5/002 ,  G06T11/006 ,  G06T2207/10081 ,  G06T2211/424

Abstract: In the CT imaging system, a one-direction condition improves noise uniformity in the denoised images and avoids over smoothing in the low noise regions in an image, assuming that the image originally has an unequal noise distribution. On the other hand, the discrete gradients of total variation (DTV) minimization results in an improved edge preserving effects in comparison to the conventional total variation (TV) minimization. Using DTV, the pixel values on an edge will not be substantially affected after a certain denoising treatment. The difference between the DTV minimization and the conventional TV minimization is substantially negligible for strong edges while the DTV minimization substantially improves in preserving the weak edges. DTV keeps the original values while TV slightly smoothes the values for the pixel near the bottom and top of edges.

Abstract translation: 在CT成像系统中，单向条件改善了去噪图像中的噪声均匀性，并且避免了图像中的低噪声区域中的平滑，假设图像最初具有不相等的噪声分布。 另一方面，与常规总变化（TV）最小化相比，总变异（DTV）最小化的离散梯度导致改善的边缘保留效果。 使用DTV，在进行某种去噪处理后，边缘上的像素值将不会受到实质的影响。 DTV最小化与常规TV最小化之间的差异对于强边缘几乎是可忽略的，而DTV最小化在保持弱边缘方面基本上得到改善。 DTV保持原始值，而TV稍微平滑靠近底部和顶端的像素的值。

公开(公告)号：US20140071185A1

公开(公告)日：2014-03-13

申请号：US14078556

申请日：2013-11-13

Applicant: Chao LI ,  Daxin SHI ,  Xianbin KANG ,  Bin XIONG ,  Shuzheng LI

Inventor： Chao LI ,  Daxin SHI ,  Xianbin KANG ,  Bin XIONG ,  Shuzheng LI

IPC: G09G5/10

CPC classification number: G09G5/10 ,  G02B19/0061 ,  G02B27/2214 ,  H01L25/0753 ,  H01L33/58 ,  H01L2924/0002 ,  H04N13/305 ,  H01L2924/00

Abstract: A stereoscopic screen, including a control device and a display screen. The display screen includes a plurality of light-emitting pixels controlled by the control device. Each of the light-emitting pixels is provided with a cylindrical lens, by which forming a difference between the visual images perceived by a left eye and a right eye according to a light-emitting principle of the cylindrical lens. The light-emitting pixel is in the form of a cylindrical light-emitting tube or a surface mounted device (SMD). The cylindrical light-emitting tube includes the cylindrical lens, a capsule, a pin, and a light-emitting chip. The light-emitting chip is disposed inside the capsule. The cylindrical lens is disposed on the capsule. The pin is connected to the light-emitting chip. The SMD includes the cylindrical lens and the capsule, or a cylindrical cover is arranged on a light-emitting surface of the capsule of the SMD.

Abstract translation: 立体画面，包括控制装置和显示屏。 显示屏包括由控制装置控制的多个发光像素。 每个发光像素设置有根据柱面透镜的发光原理形成由左眼和右眼感知的视觉图像之间的差异的柱面透镜。 发光像素是圆柱形发光管或表面安装器件（SMD）的形式。 圆柱形发光管包括柱面透镜，胶囊，销和发光芯片。 发光芯片设置在胶囊内。 柱面透镜设置在胶囊上。 引脚连接到发光芯片。 SMD包括柱面透镜和胶囊，或者圆柱形盖布置在SMD胶囊的发光表面上。

公开(公告)号：US20130336561A1

公开(公告)日：2013-12-19

申请号：US13524440

申请日：2012-06-15

Applicant: Alexander ZAMYATIN ,  Daxin SHI ,  Mihail Petru DINU

Inventor： Alexander ZAMYATIN ,  Daxin SHI ,  Mihail Petru DINU

IPC: G06K9/36

CPC classification number: G06T11/006 ,  G06T2211/424

Abstract: The CT imaging system optimizes its image generation by updating an image with the current application of a data fidelity update and a regularization update together in a single step in an iterative reconstruction algorithm. The iterative reconstruction algorithm includes the ordered subsets simultaneous algebraic reconstruction technique (OS SART) and the simultaneous algebraic reconstruction technique (SART). The data fidelity update and the regularization update are independently obtained using some predetermined statistical information such as noise and or error in matching the real data.

Abstract translation: CT成像系统通过在迭代重建算法中的单个步骤中一起使用数据保真更新和正则化更新的当前应用来更新图像来优化其图像生成。 迭代重建算法包括有序子集同时代数重建技术（OS SART）和同时代数重建技术（SART）。 数据保真更新和正则化更新使用一些预定的统计信息（如噪声和/或误差）在实际数据匹配中独立获得。

公开(公告)号：US20130188847A1

公开(公告)日：2013-07-25

申请号：US13354851

申请日：2012-01-20

Applicant: Yu ZOU ,  Daxin SHI

Inventor： Yu ZOU ,  Daxin SHI

IPC: G06K9/40 ,  G06K9/00

CPC classification number: G06T5/002 ,  G06T11/006 ,  G06T2207/10081 ,  G06T2211/424

Abstract: In the CT imaging system, a one-direction condition improves noise uniformity in the denoised images and avoids over smoothing in the low noise regions in an image, assuming that the image originally has an unequal noise distribution. On the other hand, the discrete gradients of total variation (DTV) minimization results in an improved edge preserving effects in comparison to the conventional total variation (TV) minimization. Using DTV, the pixel values on an edge will not be substantially affected after a certain denoising treatment. The difference between the DTV minimization and the conventional TV minimization is substantially negligible for strong edges while the DTV minimization substantially improves in preserving the weak edges. DTV keeps the original values while TV slightly smoothes the values for the pixel near the bottom and top of edges.

Abstract translation: 在CT成像系统中，单向条件改善了去噪图像中的噪声均匀性，并且避免了图像中的低噪声区域中的平滑，假设图像最初具有不相等的噪声分布。 另一方面，与常规总变化（TV）最小化相比，总变异（DTV）最小化的离散梯度导致改善的边缘保留效果。 使用DTV，在进行某种去噪处理后，边缘上的像素值将不会受到实质的影响。 DTV最小化与常规TV最小化之间的差异对于强边缘几乎是可忽略的，而DTV最小化在保持弱边缘方面基本上得到改善。 DTV保持原始值，而TV稍微平滑靠近底部和顶端的像素的值。

公开(公告)号：US20130177225A1

公开(公告)日：2013-07-11

申请号：US13347398

申请日：2012-01-10

Applicant: Alexander ZAMYATIN ,  Michael D. SILVER ,  Daxin SHI

Inventor： Alexander ZAMYATIN ,  Michael D. SILVER ,  Daxin SHI

IPC: G06K9/00

CPC classification number: G06T11/006 ,  G06T2211/416 ,  G06T2211/424

Abstract: Spatial resolution is substantially improved by simulating a system blur kernel including an angle variable in the forward projection during a predetermined iterative reconstruction technique. The iterative reconstruction acts as a deconvolution, which overcomes certain restrictions of system optics. In general, resolution is substantially improved with cone beam and helical data without a large increase in noise.

Abstract translation: 通过在预定的迭代重建技术期间模拟包括前向投影中的角度变量的系统模糊核，空间分辨率大大提高。 迭代重建作为反卷积，克服了系统光学的某些限制。 通常，锥形束和螺旋数据的分辨率大大提高，而噪声没有大的增加。

公开(公告)号：US20130101190A1

公开(公告)日：2013-04-25

申请号：US13276609

申请日：2011-10-19

Applicant: Daxin SHI ,  Yu ZOU ,  Alexander ZAMYATIN

Inventor： Daxin SHI ,  Yu ZOU ,  Alexander ZAMYATIN

IPC: G06K9/00

CPC classification number: G06T11/006 ,  G06T2211/424

Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique, and an instance of the iteration process is weighted according to a predetermined combination of weights during the reconstruction. The predetermined combination of the weights includes weights based upon a predetermined noise model and a predetermined window function to improve image quality.

Abstract translation: 图像生成方法和系统使用预定的迭代重建技术生成图像，并且根据重建期间的预定权重组合对迭代处理的实例进行加权。 权重的预定组合包括基于预定噪声模型和预定窗函数的权重，以改善图像质量。

公开(公告)号：US20120128265A1

公开(公告)日：2012-05-24

申请号：US12953065

申请日：2010-11-23

Applicant: Michael D. SILVER ,  Alexander ZAMYATIN ,  Daxin SHI

Inventor： Michael D. SILVER ,  Alexander ZAMYATIN ,  Daxin SHI

IPC: G06K9/40

CPC classification number: G06T11/006 ,  G06T2211/424 ,  G06T2211/436

Abstract: The CT imaging system optimizes its image generation by adaptively weighting certain parameters during the iterations in an iterative reconstruction algorithm. The projection data is grouped into N subsets, and after each of the N subsets is processed by the ordered subsets simultaneous algebraic reconstruction technique (OSSART), the image undergoes total variation (TV) minimization process. During the iterative reconstruction algorithm, a combination of the parameters such as a total variation, a relaxation parameter and a step size parameter is assigned a respective value based upon the current value of the iteration.

Abstract translation: CT成像系统通过在迭代重建算法中的迭代中自适应地加权某些参数来优化其图像生成。 投影数据被分组为N个子集，并且在通过有序子集同时代数重建技术（OSSART）处理每个N个子集之后，图像经历总变化（TV）最小化处理。 在迭代重建算法期间，基于迭代的当前值来分配诸如总变化，松弛参数和步长参数之类的参数的组合。

公开(公告)号：US20110164031A1

公开(公告)日：2011-07-07

申请号：US12683250

申请日：2010-01-06

Applicant: Daxin SHI

Inventor： Daxin SHI

IPC: G06T15/00

CPC classification number: G06T11/006 ,  G06T2211/424 ,  G06T2211/436

Abstract: The CT imaging system optimizes its image generation by frequently updating an image and adaptively minimizing the total variation in an iterative reconstruction algorithm using many or sparse views under both normal and interior reconstructions. The projection data is grouped into N subsets, and after each of the N subsets is processed by the ordered subsets simultaneous algebraic reconstruction technique (OSSART), the image volume is updated. During the OSSART, no coefficients is cached in the system matrix. This approach is intrinsically parallel and can be implemented with a GPU card. Due to the more frequent image update and the variable step value, an image quality has improved.

Abstract translation: CT成像系统通过在正常和内部重建下使用许多或稀疏视图来频繁更新图像并自适应地最小化迭代重建算法中的总体变化来优化其图像生成。 将投影数据分组为N个子集，并且在通过有序子集同时代数重建技术（OSSART）处理每个N个子集之后，更新图像量。 在OSSART期间，系统矩阵中没有缓存系数。 这种方法本质上是并行的，可以用GPU卡来实现。 由于更频繁的图像更新和可变步长值，图像质量有所提高。