Yoo S S, Lee C U, Choi B G, Saiviroonporn P
Department of Radiology, College of Medicine, Kangnam St. Mary's Hospital, The Catholic University of Korea, 505 Banpo-Dong, Seocho-Ku, Seoul, South Korea.
J Neurosci Methods. 2001 Nov 15;112(1):75-82. doi: 10.1016/s0165-0270(01)00470-8.
We describe a method of interactive three-dimensional segmentation and visualization for anatomical magnetic resonance imaging (MRI) data in a personal computer environment. The visual feedback necessary during 3-D segmentation was provided by a ray casting algorithm, which was designed to allow users to interactively decide the visualization quality depending on the task-requirement. Structures such as gray matter, white matter, and facial skin from T1-weighted high-resolution MRI data were segmented and later visualized with surface rendering. Personal computers with central processing unit (CPU) speeds of 266, 400, and 700 MHz, were used for the implementation. The 3-D visualization upon each execution of the segmentation operation was achieved in the order of 2 s with a 700 MHz CPU. Our results suggest that 3-D volume segmentation with semi real-time visual feedback could be effectively implemented in a PC environment without the need for dedicated graphics processing hardware.
我们描述了一种在个人计算机环境中对解剖磁共振成像（MRI）数据进行交互式三维分割和可视化的方法。三维分割过程中所需的视觉反馈由光线投射算法提供，该算法旨在允许用户根据任务需求交互式地决定可视化质量。对来自T1加权高分辨率MRI数据的灰质、白质和面部皮肤等结构进行了分割，随后用表面渲染进行可视化。使用了中央处理器（CPU）速度分别为266、400和700 MHz的个人计算机来进行实现。在使用700 MHz CPU时，每次执行分割操作后的三维可视化在大约2秒内即可完成。我们的结果表明，无需专用图形处理硬件，在个人计算机环境中即可有效地实现具有半实时视觉反馈的三维体积分割。
