目的探讨妊娠及产褥期出血性脑卒中(hemorrhagic stroke during pregnancy and the puerperium,HSPP)的头部电子计算机体层扫描(CT)、磁共振成像(MRI)、三维计算机断层扫描血管造影(3D-CTA)、数字减影血管造影(DSA)表现的诊断价值。方法...目的探讨妊娠及产褥期出血性脑卒中(hemorrhagic stroke during pregnancy and the puerperium,HSPP)的头部电子计算机体层扫描(CT)、磁共振成像(MRI)、三维计算机断层扫描血管造影(3D-CTA)、数字减影血管造影(DSA)表现的诊断价值。方法 2004年6月至2007年7月中国医科大学附属盛京医院收治7例HSPP,回顾性分析其临床及影像学资料。7例患者发病后均行CT检查,行MRI检查1例,3D-CTA检查2例,DSA检查4例。结果 CT表现基底节或脑叶局部高密度影6例,双侧外侧裂少量高密度充填影1例。1例MRI表现T1WI等高混杂信号、T2WI低混杂信号;1例3D-CTA呈现左顶高密度不规则血管团,另1例3D-CTA正常。4例DSA证实3例脑血管动静脉畸形(arteriovenous malformation,AVM)、1例正常。3D-CTA检查结果与DSA相符。头部影像学检查提示蛛网膜下腔出血(subarachnoid hemorrhage,SAH)1例,基底节区脑出血2例,脑叶出血4例;病因为AVM破裂出血4例,依据DSA诊断3例,依据CT表现及既往病史诊断1例。结论头部CT及MRI是诊断HSPP的首选手段,3D-CTA及DSA有助于病因判断。展开更多
Based on the homography between a multi-source image and three-dimensional （3D） measurement points, this letter proposes a novel 3D registration and integration method based on scale-invariant feature matching. The ...Based on the homography between a multi-source image and three-dimensional （3D） measurement points, this letter proposes a novel 3D registration and integration method based on scale-invariant feature matching. The matching relationships of two-dimensional （2D） texture gray images and two-and-a-half- dimensional （2.5D） range images are constructed using the scale-invariant feature transform algorithms. Then, at least three non-collinear 3D measurement points corresponding to image feature points are used to achieve a registration relationship accurately. According to the index of overlapping images and the local 3D border search method, multi-view registration data are rapidly and accurately integrated. Exper- imental results on real models demonstrate that the algorithm is robust and effective.展开更多
文摘目的探讨妊娠及产褥期出血性脑卒中(hemorrhagic stroke during pregnancy and the puerperium,HSPP)的头部电子计算机体层扫描(CT)、磁共振成像(MRI)、三维计算机断层扫描血管造影(3D-CTA)、数字减影血管造影(DSA)表现的诊断价值。方法 2004年6月至2007年7月中国医科大学附属盛京医院收治7例HSPP,回顾性分析其临床及影像学资料。7例患者发病后均行CT检查,行MRI检查1例,3D-CTA检查2例,DSA检查4例。结果 CT表现基底节或脑叶局部高密度影6例,双侧外侧裂少量高密度充填影1例。1例MRI表现T1WI等高混杂信号、T2WI低混杂信号;1例3D-CTA呈现左顶高密度不规则血管团,另1例3D-CTA正常。4例DSA证实3例脑血管动静脉畸形(arteriovenous malformation,AVM)、1例正常。3D-CTA检查结果与DSA相符。头部影像学检查提示蛛网膜下腔出血(subarachnoid hemorrhage,SAH)1例,基底节区脑出血2例,脑叶出血4例;病因为AVM破裂出血4例,依据DSA诊断3例,依据CT表现及既往病史诊断1例。结论头部CT及MRI是诊断HSPP的首选手段,3D-CTA及DSA有助于病因判断。
基金supported by the National "863" Program of China (No. 2009BAI81B02)the Doctoral Foundation of the Ministry of Education (No.20070287055)
文摘Based on the homography between a multi-source image and three-dimensional （3D） measurement points, this letter proposes a novel 3D registration and integration method based on scale-invariant feature matching. The matching relationships of two-dimensional （2D） texture gray images and two-and-a-half- dimensional （2.5D） range images are constructed using the scale-invariant feature transform algorithms. Then, at least three non-collinear 3D measurement points corresponding to image feature points are used to achieve a registration relationship accurately. According to the index of overlapping images and the local 3D border search method, multi-view registration data are rapidly and accurately integrated. Exper- imental results on real models demonstrate that the algorithm is robust and effective.
