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1.发明授权System and method for the generation of attenuation correction maps from MR images 有权用于从MR图像生成衰减校正图的系统和方法公开(公告)号：US08218848B2
公开(公告)日：2012-07-10
申请号：US12506333
申请日：2009-07-21
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/051 , G06T7/11 , G06T7/149 , G06T2207/10088 , G06T2207/30004
摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.
摘要翻译： 用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域 和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。
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2.发明申请SYSTEM AND METHOD FOR THE GENERATION OF ATTENUATION CORRECTION MAPS FROM MR IMAGES 有权用于从MR图像生成衰减校正图的系统和方法公开(公告)号：US20100021034A1
公开(公告)日：2010-01-28
申请号：US12506333
申请日：2009-07-21
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/051 , G06T7/11 , G06T7/149 , G06T2207/10088 , G06T2207/30004
摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.
摘要翻译： 用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域 和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。
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公开(公告)号：US07088358B2
公开(公告)日：2006-08-08
申请号：US10370382
申请日：2003-02-19
申请人： Shmuel Aharon , Christophe Lenglet
发明人： Shmuel Aharon , Christophe Lenglet
CPC分类号： G06T17/00
摘要： A collision detection method for polygonal objects using OpenGL is provided, comprising dividing a surface of each object into a set of axis aligned bounding boxes (AABB) to build an AABB tree, selecting an object among the plurality of polygonal objects as a reference object, defining a global bounding box of the reference object, detecting first bounding boxes of the plurality of polygonal objects that intersect the global bounding box of the reference object, and determining intersections for each polygon of the reference object with all polygons of the plurality of polygonal objects.
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