公开(公告)号：US20130322718A1

公开(公告)日：2013-12-05

申请号：US13486974

申请日：2012-06-01

申请人： Yi-Hsuan KAO ,  Michael Mu Huo Teng ,  Yi-Tzu Kao

发明人： Yi-Hsuan KAO ,  Michael Mu Huo Teng ,  Yi-Tzu Kao

IPC分类号： G06K9/00

CPC分类号： G06T11/008 ,  G06T2211/404 ,  G06T2211/412

摘要： The present invention discloses a method and apparatus for measuring AIF and VOF on brain perfusion CT images. The AIF and VOF are used to calculate hemodynamic parameters. In this invention, bone voxels and neighboring voxels are removed first from the perfusion images and thus only brain voxels are included in the AIF and VOF measurement procedures; moreover, the selection criteria, such as large area under the concentration-time curve, early arrival of contrast agents, and narrow effective width, are used to select appropriate arterial and venous voxels for the AIF and VOF measurements.

摘要翻译： 本发明公开了一种脑灌注CT图像测量AIF和VOF的方法和装置。 AIF和VOF用于计算血液动力学参数。 在本发明中，首先从灌注图像中去除骨体素和相邻的体素，因此在AIF和VOF测量程序中仅包括脑体素; 此外，使用选择标准，如浓度 - 时间曲线下的大面积，造影剂的早到，狭窄的有效宽度，用于为AIF和VOF测量选择合适的动脉和静脉体素。

公开(公告)号：US08427151B2

公开(公告)日：2013-04-23

申请号：US13007357

申请日：2011-01-14

申请人： Yi-Hsuan Kao ,  Mu-Huo Teng ,  Wen-Yan Zheng ,  Yu-Fen Chen

发明人： Yi-Hsuan Kao ,  Mu-Huo Teng ,  Wen-Yan Zheng ,  Yu-Fen Chen

IPC分类号： G01V3/00

CPC分类号： A61B5/055 ,  A61B5/0042 ,  A61B5/0263 ,  A61B5/4064 ,  A61B5/7264 ,  G06T7/0016 ,  G06T7/11 ,  G06T7/136 ,  G06T7/174 ,  G06T2207/10096 ,  G06T2207/20076 ,  G06T2207/20224 ,  G06T2207/30016

摘要： The present invention discloses a method and apparatus for brain perfusion magnetic resonance imaging (MRI) technique with the removal of cerebrospinal fluid (CSF) pixels. This invention utilizes a CSF/brain-contrast-enhanced image, wherein the CSF/brain-contrast-enhanced image is defined as the signal difference between CSF and brain matter divided by a standard deviation of air background random noise is larger than 3, acquired from the subject's brain, and applies a segmentation technique to remove the CSF pixels. After removing the CSF pixels on parametric images, the extent of brain tissue with delayed perfusion can be better identified. By using a good region of interest enclosing the correct delayed-perfusion region, the measurement on the tissue volume and perfusion parameters would be more accurate than the area contaminated by CSF pixels.

摘要翻译： 本发明公开了脑灌注磁共振成像（MRI）技术与去除脑脊液（CSF）像素的方法和装置。 本发明利用CSF /脑对比度增强图像，其中CSF /脑对比度增强图像被定义为CSF与脑部之间的信号差除以空气背景随机噪声的标准偏差大于3，获得 从受试者的脑部，并应用分割技术去除CSF像素。 在去除参数图像上的CSF像素后，可以更好地识别具有延迟灌注的脑组织的程度。 通过使用包围正确的延迟灌注区域的良好感兴趣区域，组织体积和灌注参数的测量将比被CSF像素污染的区域更准确。

公开(公告)号：US20120184843A1

公开(公告)日：2012-07-19

申请号：US13007357

申请日：2011-01-14

申请人： Yi-Hsuan Kao ,  Mu-Huo Teng ,  Wen-Yan Zheng ,  Yu-Fen Chen

发明人： Yi-Hsuan Kao ,  Mu-Huo Teng ,  Wen-Yan Zheng ,  Yu-Fen Chen

IPC分类号： A61B5/055 ,  G06K9/00

CPC分类号： A61B5/055 ,  A61B5/0042 ,  A61B5/0263 ,  A61B5/4064 ,  A61B5/7264 ,  G06T7/0016 ,  G06T7/11 ,  G06T7/136 ,  G06T7/174 ,  G06T2207/10096 ,  G06T2207/20076 ,  G06T2207/20224 ,  G06T2207/30016

摘要： The present invention discloses a method and apparatus for brain perfusion magnetic resonance imaging (MRI) technique with the removal of cerebrospinal fluid (CSF) pixels. This invention utilizes a CSF/brain-contrast-enhanced image, wherein the CSF/brain-contrast-enhanced image is defined as the signal difference between CSF and brain matter divided by a standard deviation of air background random noise is larger than 3, acquired from the subject's brain, and applies a segmentation technique to remove the CSF pixels. After removing the CSF pixels on parametric images, the extent of brain tissue with delayed perfusion can be better identified. By using a good region of interest enclosing the correct delayed-perfusion region, the measurement on the tissue volume and perfusion parameters would be more accurate than the area contaminated by CSF pixels.

摘要翻译： 本发明公开了脑灌注磁共振成像（MRI）技术与去除脑脊液（CSF）像素的方法和装置。 本发明利用CSF /脑对比度增强图像，其中CSF /脑对比度增强图像被定义为CSF与脑部之间的信号差除以空气背景随机噪声的标准偏差大于3，获得 从受试者的脑部，并应用分割技术去除CSF像素。 在去除参数图像上的CSF像素后，可以更好地识别具有延迟灌注的脑组织的程度。 通过使用包围正确的延迟灌注区域的良好感兴趣区域，组织体积和灌注参数的测量将比被CSF像素污染的区域更准确。