Volumetric feature extraction and visualization of tomographic molecular imaging

被引：36

作者：

Bajaj, C ^{[1
]}

Yu, ZY

Auer, M

机构：

[1] Univ Texas, Dept Comp Sci, Austin, TX 78712 USA

[2] Univ Texas, Inst Computat & Engn Sci, Austin, TX 78712 USA

[3] Rockefeller Univ, Lab Sensory Neurosci, New York, NY 10021 USA

来源：

JOURNAL OF STRUCTURAL BIOLOGY | 2003年 / 144卷 / 1-2期

关键词：

D O I：

10.1016/j.jsb.2003.09.037

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Electron tomography is useful for studying large macromolecular complex within their cellular context. The associate problems include crowding and complexity. Data exploration and 3D visualization of complexes require rendering of tomograms as well as extraction of all features of interest. We present algorithms for fully automatic boundary segmentation and skeletonization, and demonstrate their applications in feature extraction and visualization of cell and molecular tomographic imaging. We also introduce an interactive volumetric exploration and visualization tool (Volume Rover), which encapsulates implementations of the above volumetric image processing algorithms, and additionally uses efficient multi-resolution interactive geometry and volume rendering techniques for interactive visualization. (C) 2003 Elsevier Inc. All rights reserved.

引用

页码：132 / 143

页数：12