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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
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。
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公开(公告)号：US09575203B2
公开(公告)日：2017-02-21
申请号：US13513963
申请日：2010-11-19
Applicant: Quan Chen , Ian Ralph Collins
Inventor： Quan Chen , Ian Ralph Collins
IPC: G01V3/32
CPC classification number: G01V3/32
Abstract: 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: 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有油相和水相的基本上流体饱和的多孔介质。 该方法包括在计算油相或水相的润湿指数修饰因子时使用松弛时间测量，从而将三次采油过程与二次采油过程进行比较。
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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
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.
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4.发明公开公开(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.
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公开(公告)号：US20210390709A1
公开(公告)日：2021-12-16
申请号：US16903299
申请日：2020-06-16
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.
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Patent Agency Ranking
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
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。
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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。
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8.发明授权Methods suitable for measuring capillary pressure and relative permeability curves of porous rocks 有权适用于测量多孔岩石毛细管压力和相对渗透率曲线的方法公开(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。
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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。
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10.发明公开公开(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.
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