TY - JOUR TI - 在3D生物医学图像VL黑森州为基础Tubularity测量响应函数的自动化 - 2011 PY - 2011 DA - 2011/02/22 DO - 10.1155 /九十二万○四百○一分之二千○十一UR - https://doi.org/10.1155/九十二万○四百○一分之二千○十一AB - 的血管和神经树木包括互连成复杂的树形或网状结构，其具有范围结构秤5的管状物体的 m diameter capillaries to 3 cm aorta. This large-scale range presents two major problems; one is just making the measurements, and the other is the exponential increase of component numbers with decreasing scale. With the remarkable increase in the volume imaged by, and resolution of, modern day 3D imagers, it is almost impossible to make manual tracking of the complex multiscale parameters from those large image data sets. In addition, the manual tracking is quite subjective and unreliable. We propose a solution for automation of an adaptive nonsupervised system for tracking tubular objects based on multiscale framework and use of Hessian-based object shape detector incorporating National Library of Medicine Insight Segmentation and Registration Toolkit (ITK) image processing libraries. JF - International Journal of Biomedical Imaging SN - 1687-4188 PB - Hindawi Publishing Corporation SP - 920401 KW - A2 - Ye, Yangbo AU - Dzyubak, Oleksandr P. AU - Ritman, Erik L. ER -