Confocal volume rendering: Fast segmentation-free visualization of internal structures

被引:5
|
作者
Mullick, R [1 ]
Bryan, N [1 ]
Butman, J [1 ]
机构
[1] NIH, Dept Diagnost Radiol, Ctr Clin, Bethesda, MD 20892 USA
关键词
volume rendering; segmentation; visualization; diagnostic evaluation; screening; surgery pre-planning;
D O I
10.1117/12.383084
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Volume rendering is now a common tool for multi-dimensional data exploration in biology, medicine, meteorology, geology, material science, and other fields. In order to perform volume rendering, users are often forced to preprocess and segment their data. This step of processing before visualization often inhibits the use of volume rendering as it can be quite cumbersome and can also introduce undesirable artifacts. In order to enhance the use of direct volume visualization, powerful, yet easy-to-use methods need to be developed. In this paper, we present an approach that offers the user data-dependent control over the focal region (in physical depth terms) of the visualization. This approach enables the user to easily visualize interior structures in the dataset by controlling physically defined parameters, without performing segmentation.
引用
收藏
页码:70 / 76
页数:7
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