Woods Roger P
Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, David Geffen School of Medicine at UCLA, University of California-Los Angeles, 660 Charles E. Young Drive South, Los Angeles, CA 90095, USA.
Neuroimage. 2003 Aug;19(4):1829-34. doi: 10.1016/s1053-8119(03)00243-x.
A Java-based tool for delineating anatomic boundaries in 8- and 16- bit grayscale volumetric images is described. Modern features implemented by the tool include the ability to simultaneously view the current cursor position and the previously delineated boundaries on three orthogonal planes, the ability to magnify images during delineation using high-quality interpolation, the ability to encode and save boundaries with subvoxel resolution, and the ability to utilize coregistered images interchangeably during delineation. Additional features facilitate use of the tool in a multiuser, multiplatform environment and provide support for the documentation of anatomic delineation protocols. In addition to providing direct estimates of structure volumes, areas, and lengths, the tool allows contoured boundaries to be exported for more sophisticated analyses. The tool also provides support for manual editing of image volumes to remove confounding structures and for manual correction of image volumes that have been inaccurately edited. In addition to its research utility, the tool also has potential value in education, allowing students to interact with volumetric data and structural boundaries in three dimensions.
描述了一种基于Java的工具,用于在8位和16位灰度体积图像中描绘解剖边界。该工具实现的现代功能包括能够在三个正交平面上同时查看当前光标位置和先前描绘的边界,能够在描绘过程中使用高质量插值放大图像,能够以亚体素分辨率编码和保存边界,以及能够在描绘过程中互换使用配准图像。其他功能便于在多用户、多平台环境中使用该工具,并为解剖描绘协议的文档提供支持。除了直接估计结构体积、面积和长度外,该工具还允许导出轮廓边界以进行更复杂的分析。该工具还支持手动编辑图像体积以去除混淆结构,以及手动校正已被错误编辑的图像体积。除了其研究用途外,该工具在教育方面也具有潜在价值,允许学生在三维空间中与体积数据和结构边界进行交互。