COMPUTER-ASSISTED REGISTRATION, SEGMENTATION, AND 3D RECONSTRUCTION FROM IMAGES OF NEURONAL TISSUE-SECTIONS
COMPUTER-ASSISTED REGISTRATION, SEGMENTATION, AND 3D RECONSTRUCTION FROM IMAGES OF NEURONAL TISSUE-SECTIONS
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DOI：
10.1109/42.293928
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发表时间：
1994-06-01
影响因子：
10.6
通讯作者：
HARRIS, KM
中科院分区：
文献类型：
--
作者：
CARLBOM, I;TERZOPOULOS, D;HARRIS, KM
神经科学家研究神经细胞形态和功能之间的关系已经超过世纪。为了进行这些研究，他们需要精确的神经细胞三维模型，以便于详细的解剖测量和内部结构的识别。虽然连续透射电子显微镜一直是这样的模型的来源，自20世纪60年代中期，模型重建和分析仍然非常耗时。我们已经开发出一种新的方法来重建和可视化三维神经细胞模型从连续显微镜。一个交互式系统利用最近的计算机图形和计算机视觉技术，以显着减少所需的时间来建立这样的模型。该系统的关键组成部分是用于切片配准的数字“闪烁比较器”，用于半自动细胞分割的“蛇”或主动变形轮廓，以及用于具有内部结构的复杂细胞体积的3D重建和可视化的基于体素的技术。
Neuroscientists have studied the relationship between nerve cell morphology and function for over a century. To pursue these studies, they need accurate three-dimensional models of nerve cells that facilitate detailed anatomical measurement and the identification of internal structures. Although serial transmission electron microscopy has been a source of such models since the mid 1960s, model reconstruction and analysis remain very time consuming. We have developed a new approach to reconstructing and visualizing 3D nerve cell models from serial microscopy. An interactive system exploits recent computer graphics and computer vision techniques to significantly reduce the time required to build such models. The key ingredients of the system are a digital ''blink comparator'' for section registration, ''snakes,'' or active deformable contours, for semiautomated cell segmentation, and voxel-based techniques for 3D reconstruction and visualization of complex cell volumes with internal structures.