公开(公告)号：US20160196644A1

公开(公告)日：2016-07-07

申请号：US14715565

申请日：2015-05-18

申请人： HUAN-CHENG CHANG ,  National Central University

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。

公开(公告)号：US20210256688A1

公开(公告)日：2021-08-19

申请号：US16929080

申请日：2020-07-14

申请人： HUAN-CHENG CHANG ,  National Central University ,  Taipei Medical University (TMU)

发明人： Syu-Jyun PENG ,  Yu-Wei CHEN ,  Jing-Yu YANG ,  Jang-Zern TSAI ,  Kuo-Wei WANG ,  Yeh-Lin KUO

IPC分类号： G06T7/00 ,  G06T5/00 ,  G06T5/50 ,  G06T19/20

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.

公开(公告)号：US20160035085A1

公开(公告)日：2016-02-04

申请号：US14642761

申请日：2015-03-10

申请人： Huan-Cheng Chang ,  National Central University

发明人： Syu-Jyun PENG ,  Jang-Zern TSAI ,  Yu-Wei CHEN ,  Kuo-Wei WANG

IPC分类号： G06T7/00 ,  A61B5/00

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。