基于x射线同步加速器断层扫描的脑微血管网络自动重建

K. Kristóf, László Négyessy, Fonta Caroline, Mokso Rajmund, Szepessy Zsuzsanna, Barsi Árpád
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引用次数: 0

摘要

x射线同步加速器层析显微镜能够获得大量具有几何和辐射分辨率的图像,足以对不同器官的血管甚至微血管网络进行形态测量和拓扑分析。在这项研究中,NiDAB标记的直径为半毫米的圆柱形大脑样本被成像和分析,有效像素尺寸为0.38µm。成千上万的层析切片构建了每个重建体积,这意味着自动化分析工具是必不可少的。在可接受的处理时间内,这些大数据集由商用pc上开发的算法与自动图像分析技术进行处理。将获得的血管片段存储起来,用于进一步的拓扑和形态分析或表面/体积可视化目的。这些分析包括血管特征分布分析和三维重建。所得结果与文献数据一致。DOI: 10.17489/biohun/2015/2/02 Normal 0 false false false false EN-US X-NONE X-NONE /*样式定义*/表。mso-style-name:"Normal tablazat";mso-tstyle-rowband-size: 0;mso-tstyle-colband-size: 0;mso-style-noshow:是的;mso-style-priority: 99;mso-style-parent:“”;mso- font - family:宋体;mso-para-margin-top: 0;mso-para-margin-right: 0;mso-para-margin-bottom: 8.0分;mso-para-margin-left: 0;行高:107%;mso-pagination: widow-orphan;字体大小:11.0分;无衬线字体类型:“Calibri”;mso-ascii-font-family: Calibri;mso-ascii-theme-font: minor-latin;mso-hansi-font-family: Calibri;mso-hansi-theme-font: minor-latin;}
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Automatic reconstruction of brain’s micro-vascular network based onX-ray synchrotron tomography
X-ray synchrotron tomographic microscopy enables the acquisition of large amount of images with a geometric and radiometric resolution sufficient for the morphometric and topologic analysis of vascular and even of microvascular network of different organs. In this study cylindrical shaped, NiDAB labelled brain samples of a diameter of half a millimeter were imaged and analyzed with an effective pixel size of 0.38 µm. Several thousands of tomographic slices build up each reconstructed volume meaning that an automatized analysis tool is indispensable. These big data sets are processed by the developed algorithms on commercially available PCs with an automated image analysis technology in acceptable processing time. The obtained vessel segments are stored for further topological and morphometric analyses or surface/volumetric visualization purposes. These analyses contain vessel feature distribution analysis followed by 3D reconstruction. The obtained results are in accordance to the literature data. DOI: 10.17489/biohun/2015/2/02 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Normal tablazat"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}
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