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1.
公开(公告)号:US20200012002A1
公开(公告)日:2020-01-09
申请号:US16492430
申请日:2017-03-09
Applicant: Shimadzu Corporation
Inventor: Tetsuya KOBAYASHI
Abstract: In the scatter estimation method of the present invention, Step S1 (first TOF projection data generation) and Step S4 (non-TOF scatter estimation algorithm) are performed, and Step S2 (second TOF projection data generation) and Step S3 (calculation of TOF direction distribution ratio) are performed, and Step S5 (calculation of TOF scatter projection data) is performed. A distribution ratio is obtained from the second TOF projection data measured in a scattered radiation energy window (low energy window). Since the target of distribution is non-TOF scatter projection data in a reconstruction data energy window (standard energy window), post-distribution TOF scatter projection data is obtained as approximate TOF scatter projection data in the reconstruction data energy window (standard energy window), and scatter estimation can be accurately performed.
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公开(公告)号:US20170154444A1
公开(公告)日:2017-06-01
申请号:US15320244
申请日:2014-07-04
Applicant: SHIMADZU CORPORATION
Inventor: Tetsuya KOBAYASHI
CPC classification number: G06T11/003 , A61B6/032 , A61B6/037 , A61B6/4266 , A61B6/502 , A61B6/5258 , G01T1/172 , G01T1/2985 , G06T7/0012 , G06T11/006 , G06T2207/10081 , G06T2207/10104 , G06T2207/10108
Abstract: An image reconstruction processing method according to this invention is characterized by adding weight to conventional reconstruction processing steps. That is, weighting is performed when performing the reconstruction process based on optimization calculations of a multivariate function in which a digital image is unknown, and which consists of data function generalized from the likelihood function of Poisson distribution. When a weight coefficient is a constant independent of element data, for example, the weight coefficient is set based on directionality of linear noises occurring in a reconstruction image, or the weight coefficient is set based on detection depth position information of detector elements of DOI detectors (step S1). By weighting partial functions with weight coefficients of back projection to a reconstruction image of the element data corresponding to the partial functions, artifacts appearing on the image can be suppressed, or the spatial resolution of the image can be improved.
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3.
公开(公告)号:US20230281889A1
公开(公告)日:2023-09-07
申请号:US18012846
申请日:2020-06-26
Applicant: Shimadzu Corporation
Inventor: Tetsuya KOBAYASHI , Yui SHIGEKI
CPC classification number: G06T11/005 , G06T11/006 , A61B6/5205 , A61B6/037 , A61B6/4057 , A61B6/501 , A61B6/502 , A61B6/5282 , A61B6/5217 , G06T2210/41
Abstract: This attenuation coefficient image generation method includes a step of generating an input image (6), a step of generating an intermediate image (7) including an image relating to tissue areas based on the input image (6), and a step of generating an attenuation coefficient image (9) based the intermediate image (7) and known attenuation coefficients of tissue areas.
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公开(公告)号:US20250117896A1
公开(公告)日:2025-04-10
申请号:US18907049
申请日:2024-10-04
Applicant: SHIMADZU CORPORATION
Inventor: Tetsuya KOBAYASHI
Abstract: A noise reduction processing method according to this invention includes a step of acquiring a low-frequency signal by applying a first filter including a first filter window to a target signal, a step of estimating a noise signal by applying a second filter window including a second filter window independent of the first filter window to a high-frequency signal acquired based on the target signal and the low-frequency signal, and a step of acquiring a low-noise signal.
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公开(公告)号:US20240273784A1
公开(公告)日:2024-08-15
申请号:US18290690
申请日:2022-05-19
Applicant: Shimadzu Corporation
Inventor: Tetsuya KOBAYASHI
CPC classification number: G06T11/006 , A61B6/025 , A61B6/505 , A61B6/5252 , G06T11/008 , G06T2210/41 , G06T2211/441
Abstract: An X-ray imaging system (100) according to this invention includes an image processor (9) configured to generate a bone-suppressed tomographic image (20) representing a cross-section of a subject (101) in which a bone structure of a target part is suppressed based on a plurality of X-ray images (10). The image processor (9) includes a bone suppression processing unit (92) configured to suppress the bone structure of the target part, a reconstruction processing unit (93) configured to perform reconstruction for generating the tomographic image, and an adjustment processing unit (94) configured to adjust a suppression degree of the bone structure in the bone-suppressed tomographic image (20) to be generated.
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公开(公告)号:US20230056540A1
公开(公告)日:2023-02-23
申请号:US17910468
申请日:2020-03-16
Applicant: Shimadzu Corporation
Inventor: Tetsuya KOBAYASHI , Yoshihiro YAMADA
Abstract: A list mode image reconstruction method includes a step of dividing list mode data into a plurality of subsets and a step of acquiring a subset balance coefficient based on the number of events in the plurality of subsets.
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公开(公告)号:US20220253508A1
公开(公告)日:2022-08-11
申请号:US17294181
申请日:2019-11-14
Applicant: SHIMADZU CORPORATION
Inventor: Yusuke TAGAWA , Akira NODA , Wataru TAKAHASHI , Tetsuya KOBAYASHI
Abstract: A computer calculates interference fringe phase estimated value data (30) of a phase-restored object image by performing iterative approximation calculation using interference fringe intensity data (10) measured by a digital holography apparatus and interference fringe phase initial value data (20), which is an estimated initial phase value of the image of the object. The interference fringe phase initial value data (20) is calculated by an initial phase estimator (300). The initial phase estimator (300) is constructed by implementing machine learning using interference fringe intensity data and the like for learning. The computer acquires reconfigured intensity data (40) and reconfigured phase data (50) by performing optical wave propagation calculation using the interference fringe phase estimation value data (30) of the image of the object acquired through phase restoration, and the interference fringe intensity data (10) used as input data for the initial phase estimator (300). This provides an iterative approximation calculation method and the like capable of making an initial value of a solution used in the iterative approximation calculation method a value close to the true value.
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公开(公告)号:US20200261031A1
公开(公告)日:2020-08-20
申请号:US15776926
申请日:2015-11-19
Applicant: Shimadzu Corporation
Inventor: Tomoaki TSUDA , Tetsuya KOBAYASHI
Abstract: A radiation tomograph whereby the acquisition of transmission data and the measurement of annihilation radiation pairs are simultaneously performed by a single detector ring so as to realize both reduction of the manufacturing cost of a PET device and reduction of a burden to a subject. The transmission data, which shows the distribution of annihilation radiation absorption characteristics within a subject, is computed from data relating to annihilation radiation pairs in the vicinity of a surface of the subject. The transmission data can be acquired by detecting a radioactive drug derived from the subject, which makes imaging exclusively for transmission data unnecessary.
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9.
公开(公告)号:US20180196151A1
公开(公告)日:2018-07-12
申请号:US15736168
申请日:2016-04-05
Applicant: SHIMADZU CORPORATION
Inventor: Nobuya HASHIZUME , Keishi KITAMURA , Tetsuya KOBAYASHI
CPC classification number: G01T7/005 , G01T1/161 , G01T1/17 , G01T1/172 , G01T1/2985
Abstract: Sensitivity correction for multiple γ radiation detectors is performed by use of sensitivity coefficients obtained through a first sensitivity coefficient calculation step for obtaining sensitivity coefficients, classified according to sensitivity factors, on the basis of coincidence counting data collected as a result of detection of γ radiation emitted from a rotated rod-shaped calibration radiation source, and through a third sensitivity coefficient calculation step for obtaining sensitivity coefficients derived from a geometrical arrangement on the basis of coincidence counting data collected in a state where arrangement of the γ radiation detectors is changed. A re-constructed image is obtained on the basis of data acquired after the sensitivity correction is finished.
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公开(公告)号:US20150146952A1
公开(公告)日:2015-05-28
申请号:US14523776
申请日:2014-10-24
Applicant: SHIMADZU CORPORATION
Inventor: Nobuya HASHIZUME , Keishi KITAMURA , Yoshiyuki YAMAKAWA , Tetsuya KOBAYASHI
CPC classification number: A61B6/5235 , A61B6/037 , A61B6/4208 , A61B6/483 , A61B6/502 , A61B6/5205 , G06T11/005
Abstract: In a reconstruction processing (S1), reconstruction processing is performed to list mode data to firstly capture a reconstruction image. Then, in a projection step (S2), the reconstruction image obtained in the reconstruction processing step is projected to capture a projection image. In a scatter component extracting step S4, low-frequency components are extracted from the projection image obtained in the projection step to obtain scatter components. Even when the data contains a missing region, the reconstruction processing unlikely to be influenced by the missing region suppresses the influence by the missing, and the resultant reconstruction image is projected. Consequently, the projection image having dummy data being interpolated to the missing region is obtainable. As a result, projection from the list mode data through the reconstruction image achieves the projection image with no missing data. Accordingly, precious estimation of the scatter components is obtainable.
Abstract translation: 在重建处理(S1)中,进行重构处理以列出模式数据,以首先捕获重建图像。 然后,在投影步骤(S2)中,投影在重建处理步骤中获得的重建图像以捕获投影图像。 在散射分量提取步骤S4中,从投影步骤中获得的投影图像中提取低频分量,以获得散射分量。 即使数据包含缺失区域,不可能受缺失区域影响的重构处理也能够抑制缺失区域的影响,并且投影出所得到的重建图像。 因此,可以获得具有内插到缺失区域的伪数据的投影图像。 结果,从列表模式数据通过重建图像的投影实现了没有丢失数据的投影图像。 因此,可以获得散射分量的宝贵估计。
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