公开(公告)号：US07567079B2

公开(公告)日：2009-07-28

申请号：US11808300

申请日：2007-06-08

Applicant: Quan Chen ,  Bruce J. Balcom

Inventor： Quan Chen ,  Bruce J. Balcom

IPC: G01V3/00

CPC classification number: G01R33/44 ,  G01N15/082 ,  G01N24/081 ,  G01R33/4816 ,  G01V3/32 ,  Y02A90/344

Abstract: Single-shot methods suitable for determining capillary pressure and relative permeability curves in petroleum reservoir core plugs are proposed. Three classes of measurement are outlined. (i) Measurements undertaken with steady state gas flow and stationary water or oil phases in the rock. SPRITE (Single-Point Ramped Imaging with T1 Enhancement) MRI (Magnetic Resonance Imaging) spin density images map spatially varying fluid content. (ii) Similar measurements are proposed with a stationary gas phase and flowing water or oil phases. (iii) Measurements are also possible with either water or oil as the stationary phase, with the other phase undergoing steady state flow. In all cases the outflow boundary condition is maintained, capillary pressure zero, by washing the outlet face of the sample with the stationary fluid phase.

Abstract translation: 提出了适用于测定石油储层岩心塞中毛细管压力和相对渗透率曲线的单次喷射方法。 概述了三类测量。 （i）用稳态气体流动和岩石中固定的水或油相进行的测量。 SPRITE（具有T1增强功能的单点成像）MRI（磁共振成像）自旋密度图像映射空间变化的流体含量。 （ii）使用固定气相和流动的水或油相提出了类似的测量。 （iii）也可以用水或油作为固定相进行测量，另一相经历稳态流动。 在所有情况下，通过用固定流体相清洗样品的出口面，维持流出边界条件，毛细管压力为零。

公开(公告)号：US20080303520A1

公开(公告)日：2008-12-11

申请号：US11808300

申请日：2007-06-08

Applicant: Quan Chen ,  Bruce J. Balcom

Inventor： Quan Chen ,  Bruce J. Balcom

IPC: G01V3/14 ,  G01V3/00

CPC classification number: G01R33/44 ,  G01N15/082 ,  G01N24/081 ,  G01R33/4816 ,  G01V3/32 ,  Y02A90/344

Abstract: Single-shot methods suitable for determining capillary pressure and relative permeability curves are proposed. For steady-state gas flow, with stationary water or oil remaining in a porous rock core and the outflow boundary condition (capillary pressure is zero) is maintained by washing the outlet face of the core with the stationary phase, the gas pressure distribution, P(x), is determined by SPRITE (Single-Point Ramped Imaging with T1 Enhancement) MRI (Magnetic Resonance Imaging) spin density imaging of flowing gas, since the spin density of gas is directly proportional to the pressure of the gas phase. Water or oil saturation distribution, S(x), at the present of steady-state flowing gas, is measured with MRI. The combination of P(x) and S(x) yields a capillary pressure curve, Pc(S) and relative permeability curve of flowing gas phase, Krg(S) can be determined with differential form of Darcy's law and ideal gas equations for gas flowing at steady-state. Some embodiments include the steps of providing a porous rock core having a length, an inlet face, and an outlet face; saturating the porous rock core with a first fluid; displacing the first fluid by applying a second fluid to the inlet face of the porous rock core; washing the outlet face of the porous rock core with said second fluid so as to maintain an outflow boundary condition; determining that a substantially steady-state condition has been reached whereat the fluid saturation distribution and pressure distribution along the length of the core do not substantially change with time; performing a single-shot measurement of at least one of a fluid saturation distribution measurement of the porous rock core and a pressure distribution measurement of the porous rock core; and determining a property of the porous rock core by using the single-shot measurement.

Abstract translation: 提出了适用于确定毛细管压力和相对渗透率曲线的单次方法。 对于稳态气体流动，通过用固定相清洗芯的出口面，气体压力分布P（P），通过固定的水或油保留在多孔岩芯中，并且流出边界条件（毛细管压力为零） （x）由SPRITE（具有T1增强的单点成像成像）由流动气体的磁共振成像（磁共振成像）自旋密度成像确定，因为气体的自旋密度与气相的压力成正比。 用静态流动气体测定水分或油饱和度分布S（x）。 P（x）和S（x）的组合产生毛细管压力曲线，流动气相的Pc（S）和相对渗透率曲线，Krg（S）可以用达西定律的差分形式和气体的理想气体方程 在稳态流动。 一些实施例包括提供具有长度，入口面和出口面的多孔岩芯的步骤; 用第一流体使多孔岩芯饱和; 通过将第二流体施加到多孔岩芯的入口面来移位第一流体; 用所述第二流体清洗多孔岩芯的出口面，以保持流出边界条件; 确定已经达到基本上稳定状态的状态，其中沿芯的长度的流体饱和分布和压力分布基本上不随时间变化; 对多孔岩芯的流体饱和度分布测量和多孔岩芯的压力分布测量中的至少一个进行单次测量; 以及通过使用单次测量来确定多孔岩心的性质。

公开(公告)号：US11948389B2

公开(公告)日：2024-04-02

申请号：US17693272

申请日：2022-03-11

Applicant: Kanchan Ghimire ,  Quan Chen ,  Xue Feng

Inventor： Kanchan Ghimire ,  Quan Chen ,  Xue Feng

IPC: G06V40/10 ,  G06V10/26 ,  G06V10/28 ,  G06V10/34 ,  G06V10/44 ,  G16H30/20 ,  G16H30/40

CPC classification number: G06V40/10 ,  G06V10/267 ,  G06V10/273 ,  G06V10/28 ,  G06V10/34 ,  G06V10/457 ,  G16H30/20 ,  G16H30/40 ,  G06V2201/031

Abstract: The present disclosure relates to a method and apparatus for automatic detection of anatomical sites from tomographic images. The method includes: receiving 3D images obtained by a CT or an MRI system, transforming the images to the DICOM standard patient-based coordinate system, pre-processing the images to have normalized intensity values based on their modality, performing body segmentation, cropping the images to remove excess areas outside the body, and detecting different anatomical sites including head and neck, thorax, abdomen, male pelvis and female pelvis, wherein the step of detecting different anatomical sites comprises: performing slice-level analyses on 2D axial slices to detect the head and neck region using dimensional measurement thresholds based on human anatomy, calculating lung ratios on axial slices to find if lungs are present, determining whether 3D images with lungs present span over the thoracic region, abdomen region, or both, conducting 2D connectivity analyses on axial slices to detect the pelvis region if two separate leg regions are found and differentiating detected pelvis regions as either male pelvis or female pelvis regions based on human anatomy.

公开(公告)号：US20230162479A1

公开(公告)日：2023-05-25

申请号：US17531720

申请日：2021-11-20

Applicant: Xue Feng ,  Quan Chen ,  Kanchan Ghimire

Inventor： Xue Feng ,  Quan Chen ,  Kanchan Ghimire

IPC: G06V10/774 ,  G06V10/80 ,  G06V10/94 ,  G06V10/25 ,  G06N3/04

CPC classification number: G06V10/774 ,  G06V10/80 ,  G06V10/95 ,  G06V10/25 ,  G06N3/04

Abstract: The present disclosure relates to a method and apparatus for training a convolutional neural network (CNN) that is robust to missing input information. The method includes: receiving multiple three-dimensional (3D) images per case obtained by different imaging systems such as computed tomography (CT), magnetic resonance (MR), and positron emission tomography (PET); processing the 3D images to fuse the information from multiple imaging modalities; building a deep learning framework using CNNs for image segmentation; adapting the deep learning framework to handle either a single missing input modality or multiple modalities by emulating missing modalities in training; post-processing the output from the deep learning framework to obtain the final segmentation.

公开(公告)号：US20210390709A1

公开(公告)日：2021-12-16

申请号：US16903299

申请日：2020-06-16

Applicant: Xue Feng ,  Quan Chen

Inventor： Xue Feng ,  Quan Chen

IPC: G06T7/174 ,  G06T7/11 ,  G06T5/00

Abstract: The present disclosure relates to a method and apparatus to improve model-based organ segmentation with image post-processing using one or more processors. The method includes: receiving three-dimensional (3D) voxel-by-voxel segmentation results as the output of a segmentation model based on 3D computed tomography (CT) or magnetic resonance (MR) images; analyzing the segmentation results on a 3D basis; processing the results to identify regions with anatomically incorrect segmentations; fixing the incorrect segmentations; analyzing the remaining segmentation results on a slice-by-slice basis; processing the results to identify slices with anatomically incorrect segmentations; fixing the incorrect segmentations to obtain the final results.

公开(公告)号：US20120241149A1

公开(公告)日：2012-09-27

申请号：US13513963

申请日：2010-11-19

Applicant: Quan Chen ,  Ian Ralph Collins

Inventor： Quan Chen ,  Ian Ralph Collins

IPC: E21B49/00 ,  G06F19/00 ,  G01V3/14

CPC classification number: G01V3/32

Abstract: A method of comparing a secondary oil recovery process with a tertiary oil recovery process, the secondary oil recovery process and the tertiary oil recovery process being applied to a substantially fluid-saturated porous medium containing an oil phase and an aqueous phase, the method comprising using relaxation time measurements in the calculation of a wettability index modification factor for the oil phase or the aqueous phase, thereby comparing the tertiary oil recovery process with the secondary oil recovery process.

Abstract translation: 一种将二次采油工艺与三次采油工艺进行比较的方法，二次采油工艺和三次采油工艺应用于含油相和水相的基本上流体饱和的多孔介质中，该方法包括使用 在油相或水相的润湿性指数改性因子的计算中的松弛时间测量，从而将三次采油过程与二次采油过程进行比较。

公开(公告)号：US08222616B2

公开(公告)日：2012-07-17

申请号：US12258783

申请日：2008-10-27

Applicant: Weiguo Lu ,  Mingli Chen ,  Quan Chen ,  Kenneth J. Ruchala ,  Gustavo H. Olivera

Inventor： Weiguo Lu ,  Mingli Chen ,  Quan Chen ,  Kenneth J. Ruchala ,  Gustavo H. Olivera

IPC: G01N23/00 ,  A61N5/10 ,  A61B9/00

CPC classification number: A61N5/103 ,  A61B34/10 ,  A61N5/1038 ,  A61N2005/1061

Abstract: A system and method of adapting a radiation therapy treatment plan for a patient by varying the fraction size delivered to the patient on any individual day, based at least partially on the use of daily patient registration (i.e., taking images of the patient before each fraction is delivered to see the position and size of the tumor on that day). The fraction size can be dynamically altered based upon the biology of the tumor.

Abstract translation: 至少部分地基于每日患者登记的使用（即，在每个部分之前拍摄患者的图像），通过改变在任何个别日期递送给患者的分数大小来适应患者的放射治疗治疗计划的系统和方法 被交付以查看当天肿瘤的位置和大小）。 可以根据肿瘤的生物学动态地改变分数大小。

公开(公告)号：US20100194758A1

公开(公告)日：2010-08-05

申请号：US12669382

申请日：2007-07-18

Applicant: Hock Soon Seah ,  Feng Tian ,  Yixiang Lu ,  Jie Qiu ,  Quan Chen ,  Peng Lu

Inventor： Hock Soon Seah ,  Feng Tian ,  Yixiang Lu ,  Jie Qiu ,  Quan Chen ,  Peng Lu

IPC: G06T11/20

CPC classification number: G06T13/80 ,  G06T9/00 ,  G06T2200/16 ,  G06T2210/08

Abstract: A method of providing graphics data, comprising generating a first set of data vectors specifying geometrical characteristics of a graphical object in a first digital picture, generating a second set of data vectors specifying geometrical characteristics of the graphical object in a second digital picture to be displayed after the first digital picture, generating a parameter set comprising information specifying intermediate geometrical characteristics of the graphical object based on the geometrical characteristics of the graphical object in the first digital picture, and of the graphical object in the second digital picture, wherein the intermediate geometrical characteristics are geometrical characteristics of the graphical object in at least one third digital picture to be displayed after the first digital picture and before the second digital picture, and generating at least one data file comprising the first set of data vectors, the second set of data vectors and the parameter set.

Abstract translation: 一种提供图形数据的方法，包括生成指定第一数字图像中的图形对象的几何特征的第一组数据向量，产生指定要显示的第二数字图像中的图形对象的几何特征的第二组数据向量 在第一数字图像之后，基于第一数字图像中的图形对象的几何特征和第二数字图像中的图形对象，生成包括指定图形对象的中间几何特征的信息的参数集，其中中间几何 特征是在要在第一数字图像之后和第二数字图像之前显示的至少一个第三数字图像中的图形对象的几何特征，并且生成包括第一组数据矢量的至少一个数据文件，第二组数据 向量和参数s 等。

公开(公告)号：US20090110145A1

公开(公告)日：2009-04-30

申请号：US12258783

申请日：2008-10-27

Applicant: Weiguo Lu ,  Mingli Chen ,  Quan Chen ,  Kenneth J. Ruchala ,  Gustavo H. Olivera

Inventor： Weiguo Lu ,  Mingli Chen ,  Quan Chen ,  Kenneth J. Ruchala ,  Gustavo H. Olivera

IPC: A61N5/10

CPC classification number: A61N5/103 ,  A61B34/10 ,  A61N5/1038 ,  A61N2005/1061

Abstract: A system and method of adapting a radiation therapy treatment plan for a patient by varying the fraction size delivered to the patient on any individual day, based at least partially on the use of daily patient registration (i.e., taking images of the patient before each fraction is delivered to see the position and size of the tumor on that day). The fraction size can be dynamically altered based upon the biology of the tumor.

Abstract translation: 至少部分地基于每日患者登记的使用（即，在每个部分之前拍摄患者的图像），通过改变在任何个别日期递送给患者的分数大小来适应患者的放射治疗治疗计划的系统和方法 被交付以查看当天肿瘤的位置和大小）。 可以根据肿瘤的生物学动态地改变分数大小。

公开(公告)号：US20230154009A1

公开(公告)日：2023-05-18

申请号：US17529188

申请日：2021-11-17

Applicant: Xue Feng ,  Quan Chen ,  Kanchan Ghimire

Inventor： Xue Feng ,  Quan Chen ,  Kanchan Ghimire

IPC: G06T7/168

CPC classification number: G06T7/168 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/20216

Abstract: The present disclosure relates to a method and apparatus for automatic head and neck organ segmentation. The method includes: receiving 3D images obtained by a CT system or an MRI system; processing the 3D images to transform to patient coordinate system and have the same spatial resolution and matrix size; building a deep learning framework using CNN models for organ segmentation; doubling the size of training dataset by emulating uncollected training data with mirrored images and their corresponding labels; improving the performance by predicting on original and mirrored images and averaging the output probabilities; and post-processing the output from the deep learning framework to obtain final organ segmentation.