-
公开(公告)号：US20190122399A1
公开(公告)日：2019-04-25
申请号：US15792363
申请日：2017-10-24
Applicant: General Electric Company
Inventor： Nitin Jain , Sangtae Ahn , Steven Ross
Abstract: An imaging system is provided that includes at least one detector configured to acquire imaging information, a processing unit, and a display unit. The processing unit is operably coupled to the at least one detector, and is configured to reconstruct an image using the imaging information. The image is organized into voxels having non-uniform dimensions. The processing unit is configured to perform a penalized likelihood (PL) image reconstruction using the imaging information. The PL image reconstruction includes a penalty function. Performing the penalty function includes interpolating a voxel size in at least one dimension from an original size to an interpolated size before determining a penalty function, determining the penalty function using the interpolated size to provide an initial penalty, interpolating the initial penalty to the original size to provide a modified penalty, and applying the modified penalty in the PL image reconstruction.
-
公开(公告)号：US20180203140A1
公开(公告)日：2018-07-19
申请号：US15409343
申请日：2017-01-18
Applicant: General Electric Company
Inventor： Jun Miao , Steven Ross
IPC: G01T1/29
CPC classification number: G01T1/2985
Abstract: Methods and systems are provided for scatter correction in Positron Emission Tomography (PET) imaging. In one embodiment, a method comprises performing an emission scan to acquire emission data, identifying outliers in a tail region of the emission data, discarding a portion of the outliers from the emission data, calculating a linear fit to remaining emission data in the tail region, and correcting the emission data based on the linear fit. In this way, scatter coincidence events can be eliminated even if the emission data is spatially misaligned with transmission data.
-
Patent Agency Ranking
3.发明授权Systems and methods for PET penalized-likelihood image reconstruction with spatially varying smoothing parameters 有权用空间变化的平滑参数进行PET惩罚似然图像重建的系统和方法公开(公告)号：US09595121B2
公开(公告)日：2017-03-14
申请号：US13667737
申请日：2012-11-02
Applicant: General Electric Company
Inventor： Sangtae Ahn , Evren Asma , Ravindra Manjeshwar , Steven Ross
CPC classification number: G06T11/006 , G06T2211/424
Abstract: A computer-implemented method for penalized-likelihood reconstruction of a Positron Emission Tomography (PET) image includes generating a regularization function in which a smoothing parameter is modulated by one or more data-independent spatially variable modulation factors to compensate for sensitivity variations in a PET voxel dataset, and reconstructing the PET image from the PET emission dataset using the regularization function.
Abstract translation: 用于正电子发射断层摄影（PET）图像的惩罚似然重建的计算机实现方法包括生成正则化函数，其中平滑参数由一个或多个数据无关的空间可变调制因子调制以补偿PET中的灵敏度变化 体素数据集，并使用正则化函数从PET发射数据集重建PET图像。
-
4.发明授权Systems and methods for partial volume correction in PET penalized-likelihood image reconstruction 有权PET惩罚似然图像重建中部分体积校正的系统和方法公开(公告)号：US09256967B2
公开(公告)日：2016-02-09
申请号：US13667757
申请日：2012-11-02
Applicant: General Electric Company
Inventor： Sangtae Ahn , Evren Asma , Ravindra Manjeshwar , Steven Ross
CPC classification number: G06T11/008
Abstract: A computer-implemented method for partial volume correction in Positron Emission Tomography (PET) image reconstruction includes receiving emission data related to an activity distribution, reconstructing the activity distribution from the emission data by maximizing a penalized-likelihood objective function to produce a reconstructed PET image, quantifying an activity concentration in a region of interest of the reconstructed PET image to produce an uncorrected quantitation, and correcting the uncorrected quantitation based on a pre-calculated contrast recovery coefficient value to account for a partial volume error in the uncorrected quantitation.
Abstract translation: 用于正电子发射断层扫描（PET）图像重建中的部分体积校正的计算机实现的方法包括接收与活动分布相关的发射数据，通过最大化惩罚似然度目标函数来重建来自发射数据的活动分布，以产生重建的PET图像 量化重构的PET图像的感兴趣区域中的活性浓度以产生未校正的定量，并且基于预计算的对比度恢复系数值来校正未校正的定量，以解决未校正的定量中的部分体积误差。
-
5.发明申请SYSTEMS AND METHODS FOR PARTIAL VOLUME CORRECTION IN PET PENALIZED-LIKELIHOOD IMAGE RECONSTRUCTION 有权PET加密LIKELIHOOD图像重建中部分体积校正的系统和方法公开(公告)号：US20140126794A1
公开(公告)日：2014-05-08
申请号：US13667757
申请日：2012-11-02
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Sangtae Ahn , Evren Asma , Ravindra Manjeshwar , Steven Ross
IPC: G06T11/00
CPC classification number: G06T11/008
Abstract: A computer-implemented method for partial volume correction in Positron Emission Tomography (PET) image reconstruction includes receiving emission data related to an activity distribution, reconstructing the activity distribution from the emission data by maximizing a penalized-likelihood objective function to produce a reconstructed PET image, quantifying an activity concentration in a region of interest of the reconstructed PET image to produce an uncorrected quantitation, and correcting the uncorrected quantitation based on a pre-calculated contrast recovery coefficient value to account for a partial volume error in the uncorrected quantitation.
Abstract translation: 用于正电子发射断层扫描（PET）图像重建中的部分体积校正的计算机实现的方法包括接收与活动分布相关的发射数据，通过最大化惩罚似然度目标函数来重建来自发射数据的活动分布，以产生重建的PET图像 量化重构的PET图像的感兴趣区域中的活性浓度以产生未校正的定量，并且基于预计算的对比度恢复系数值来校正未校正的定量，以解决未校正的定量中的部分体积误差。
-
6.发明申请SYSTEMS AND METHODS FOR PET PENALIZED-LIKLIHOOD IMAGE RECONSTRUCTION WITH SPATIALLY VARYING SMOOTHING PARAMETERS 有权用于具有空间变化的平滑参数的PET肾结石图像重构的系统和方法公开(公告)号：US20140126793A1
公开(公告)日：2014-05-08
申请号：US13667737
申请日：2012-11-02
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Sangtae Ahn , Evren Asma , Ravindra Manjeshwar , Steven Ross
IPC: G06T7/00
CPC classification number: G06T11/006 , G06T2211/424
Abstract: A computer-implemented method for penalized-likelihood reconstruction of a Positron Emission Tomography (PET) image includes generating a regularization function in which a smoothing parameter is modulated by one or more data-independent spatially variable modulation factors to compensate for sensitivity variations in a PET voxel dataset, and reconstructing the PET image from the PET emission dataset using the regularization function.
Abstract translation: 用于正电子发射断层摄影（PET）图像的惩罚似然重建的计算机实现方法包括生成正则化函数，其中平滑参数由一个或多个数据无关的空间可变调制因子调制以补偿PET中的灵敏度变化 体素数据集，并使用正则化函数从PET发射数据集重建PET图像。
-
公开(公告)号：US10482634B2
公开(公告)日：2019-11-19
申请号：US15792363
申请日：2017-10-24
Applicant: General Electric Company
Inventor： Nitin Jain , Sangtae Ahn , Steven Ross
Abstract: An imaging system is provided that includes at least one detector configured to acquire imaging information, a processing unit, and a display unit. The processing unit is operably coupled to the at least one detector, and is configured to reconstruct an image using the imaging information. The image is organized into voxels having non-uniform dimensions. The processing unit is configured to perform a penalized likelihood (PL) image reconstruction using the imaging information. The PL image reconstruction includes a penalty function. Performing the penalty function includes interpolating a voxel size in at least one dimension from an original size to an interpolated size before determining a penalty function, determining the penalty function using the interpolated size to provide an initial penalty, interpolating the initial penalty to the original size to provide a modified penalty, and applying the modified penalty in the PL image reconstruction.
-
-
-
-
-
-
Search Results
7
records
(took 0.019 seconds)
