Nowinski Wieslaw L, Thirunavuukarasuu Arumugam, Volkau Ihar, Marchenko Yevgen, Aminah Bivi, Gelas Arnaud, Huang Su, Lee Looi Chow, Liu Jimin, Ng Ting Ting, Nowinska Natalia G, Qian Guoyu Yu, Puspitasari Fiftarina, Runge Val M
Biomedical Imaging Lab, Singapore Bioimaging Consortium, Agency for Science, Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore.
Anat Sci Educ. 2009 Jan-Feb;2(1):24-33. doi: 10.1002/ase.68.
The increasing complexity of human body models enabled by advances in diagnostic imaging, computing, and growing knowledge calls for the development of a new generation of systems for intelligent exploration of these models. Here, we introduce a novel paradigm for the exploration of digital body models illustrating cerebral vasculature. It enables dynamic scene compositing, real-time interaction combined with animation, correlation of 3D models with sectional images, quantification as well as 3D manipulation-independent labeling and knowledge-related meta labeling (with name, diameter, description, variants, and references). This novel exploration is incorporated into a 3D atlas of cerebral vasculature with arteries and veins along with the surrounding surface and sectional neuroanatomy derived from 3.0 Tesla scans. This exploration paradigm is useful in medical education, training, research, and clinical applications. It enables development of new generation systems for rapid and intelligent exploration of complicated digital body models in real time with dynamic scene compositing from highly parcellated 3D models, continuous navigation, and manipulation-independent labeling with multiple features.
诊断成像、计算技术的进步以及知识的不断增长使得人体模型日益复杂，这就需要开发新一代系统来对这些模型进行智能探索。在此，我们介绍一种用于探索展示脑循环系统的数字人体模型的全新范例。它能够实现动态场景合成、结合动画的实时交互、三维模型与断层图像的关联、量化以及与三维操作无关的标注和与知识相关的元标注（包括名称、直径、描述、变体和参考文献）。这种新颖的探索方式被整合到一个脑循环系统的三维图谱中，该图谱包含动脉和静脉以及源自3.0特斯拉扫描的周围表面和断层神经解剖结构。这种探索范例在医学教育、培训、研究和临床应用中都很有用。它能够开发新一代系统，通过从高度细分的三维模型进行动态场景合成、连续导航以及具有多种特征的与三维操作无关的标注，实时快速且智能地探索复杂的数字人体模型。
