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公开(公告)号：US20210256688A1
公开(公告)日：2021-08-19
申请号：US16929080
申请日：2020-07-14
发明人： Syu-Jyun PENG , Yu-Wei CHEN , Jing-Yu YANG , Jang-Zern TSAI , Kuo-Wei WANG , Yeh-Lin KUO
摘要： The present disclosure provides an operating method of a system for analyzing brain tissue based on computerized tomographic imaging, and the operation method includes steps as follows. A computed tomography image of a subject is aligned to a predetermined standard brain space image, to obtain a first normalized test computed tomography image. A voxel contrast of the first normalized test computed tomography image is enhanced to obtain an enhanced first normalized test computed tomography image. The enhanced first normalized test computed tomography image is aligned to an average computed tomographic image of a control group to obtain a second normalized test computed tomography image. An analysis based on the second normalized test computed tomography image and a plurality of computerized tomographic images of the control group is performed to obtain a t-score map.
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2.发明申请公开(公告)号：US20160196644A1
公开(公告)日：2016-07-07
申请号：US14715565
申请日：2015-05-18
发明人： Syu-Jyun PENG , Yu-Wei CHEN , Jang-Zern TSAI , Kuo-Wei WANG
IPC分类号： G06T7/00 , A61B5/00 , A61B5/055 , G01R33/563 , G01R33/56
CPC分类号： G06T7/0012 , A61B5/0042 , A61B5/055 , G01R33/5602 , G01R33/5608 , G01R33/56341 , G06T7/11 , G06T7/174 , G06T2207/10088 , G06T2207/30016
摘要： A magnetic resonance imaging white matter hyperintensities region recognizing method and system are disclosed herein. The white matter hyperintensities region recognizing method includes receiving and storing a FLAIR MRI image, a spin-lattice relaxation time weighted MRI image, and a diffusion weighted MRI image. Registration and fusion are preformed, and a white matter mask is determined. An intersection image of the FLAIR MRI image and the white matter mask is taken, a first region is determined after normalizing the intersection image, a cerebral infarct region is removed from the first image through the diffusion weighted MRI image, and then a determination is made as to whether to remove a remaining region in order to form a white matter hyperintensities region in the FLAIR MRI image.
摘要翻译： 本文公开了磁共振成像白质高信号区域识别方法和系统。 白质高信号区识别方法包括接收和存储FLAIR MRI图像，自旋晶格弛豫时间加权MRI图像和扩散加权MRI图像。 进行注册和融合，并确定白质掩模。 拍摄FLAIR MRI图像和白质掩模的交叉图像，在对交叉图像进行标准化之后确定第一区域，通过扩散加权MRI图像从第一图像中去除脑梗死区域，然后进行确定 关于是否去除剩余区域以形成FLAIR MRI图像中的白质高信号区域。
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公开(公告)号：US20160035085A1
公开(公告)日：2016-02-04
申请号：US14642761
申请日：2015-03-10
发明人： Syu-Jyun PENG , Jang-Zern TSAI , Yu-Wei CHEN , Kuo-Wei WANG
CPC分类号： G06T7/0012 , A61B5/0042 , A61B5/055 , A61B5/4064 , G06T7/11 , G06T7/136 , G06T2207/10088 , G06T2207/30016
摘要： A method for detecting a cerebral infarct includes receiving an image of a brain of a subject from a magnetic resonance imaging scanner, wherein the image has a plurality of voxels, and each of the voxels has a voxel intensity. Then, the voxel intensities are normalized, wherein the normalized voxel intensities have a distribution peak, and the normalized voxel intensity of the distribution peak is Ipeak. A threshold is determined, which is the Ipeak+ a value. Voxel having the normalized voxel intensity larger than the threshold is selected, wherein the selected voxel is the cerebral infarct. A method for quantifying the cerebral infarct is also provided.
摘要翻译： 检测脑梗塞的方法包括从磁共振成像扫描仪接收被检者的脑部图像，其中，图像具有多个体素，并且每个体素具有体素强度。 然后，体素强度被归一化，其中归一化体素强度具有分布峰，并且分布峰的归一化体素强度为Ipeak。 确定阈值，即Ipeak + a值。 选择具有大于阈值的归一化体素强度的体素，其中所选择的体素是脑梗死。 还提供了定量脑梗塞的方法。
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公开(公告)号：US20220020150A1
公开(公告)日：2022-01-20
申请号：US16929117
申请日：2020-07-15
发明人： Syu-Jyun PENG , Fu-Yuan SHIH
摘要： A medical image processing system includes a memory and a processor coupled to each other. The processor accesses and executes instructions which memory stores to perform the following: obtaining a plurality of brain MR images corresponding to a subject, wherein the brain MR images corresponds to a subject brain space; accessing a DBS targets atlas corresponding to a specific stimulation area; transforming the DBS targets atlas from a MNI brain space to the subject brain space based on a DARTEL algorithm; marking at least one coordinate having a largest Voxel value in the brain MR images based on the transformed DBS targets atlas; and storing the brain MR images being targeted with the at least one coordinate into a predetermined format corresponding to a guiding device so that the guiding device displays the brain MR images being targeted with the at least one coordinate for guidance in DBS procedure.
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5.发明公开公开(公告)号：US20240341701A1
公开(公告)日：2024-10-17
申请号：US18493080
申请日：2023-10-24
发明人： Syu-Jyun PENG , Tse-Hao LEE , Jong-Ling FUH
CPC分类号： A61B6/037 , A61B5/055 , A61B5/4088 , G01N33/6896
摘要： An operation method of a brain amyloid PET processing system includes steps as follows. The whole brain white matter amyloid PET image is extracted from the smoothed amyloid PET image in the range of the whole brain white matter mask of the normalized brain space, and the uptake value with the preset maximum ratio in the whole brain white matter amyloid PET image is calculated; in the smoothed amyloid PET image of the normalized brain space, one or more voxels in the range of the whole brain gray matter mask are marked and counted, in which each voxel uptake value of the one or more voxels is greater than the uptake value of the preset maximum ratio of the whole brain white matter amyloid PET image, and the one or more voxels are used for interpretation training and test of the classification of the machine learning.
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公开(公告)号：US20220398722A1
公开(公告)日：2022-12-15
申请号：US17662659
申请日：2022-05-10
发明人： Syu-Jyun PENG , Chien-Chen CHOU , Yen-Cheng SHIH , Hsu-Huai CHIU
摘要： The present disclosure provides an operating method of a brain imaging neurological abnormality prediction system, which includes steps as follows. The T1-weighted image and the diffusion-weighted image of the patient are acquired; the image process is performed on the T1-weighted image and the diffusion-weighted image to obtain a smoothed brain standard space infarction image; the smoothed brain standard space infarction image is multiplied by and a weighted image for a post-processing to obtain a post-weight image; the post-weight image is inputted to the deep learning cross validation classification model of transfer learning to predict whether the neurological abnormality occurs within a predetermined period after the patient's brain disease.
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公开(公告)号：US20220398732A1
公开(公告)日：2022-12-15
申请号：US17452238
申请日：2021-10-26
发明人： Syu-Jyun PENG , Hsiang-Yu YU , Yen-Cheng SHIH , Tse-Hao LEE
摘要： The present disclosure provides an operation method of a PET (positron emission tomography) quantitative localization system, which includes steps as follows. The PET image and the MRI (magnetic resonance imaging) of the patient are acquired; the nonlinear deformation is performed on the MRI and the T1 template to generate deformation information parameters; the AAL (automated anatomical labeling) atlas is deformed to an individual brain space of the patient, so as to generate an individual brain space AAL atlas, where the AAL atlas and the T1 template are in a same space; lateralization indexes of the ROIs of the individual brain space AAL atlas corresponding to the PET image normalized through the gray-scale intensity are calculated; the lateralization indexes are inputted into one or more machine learning models to analyze the result of determining a target.
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