Paper Info
Title
Three-Dimensional Volume Reconstruction Based on Trajectory Fusion from Confocal Laser Scanning Microscope Images
Abstract
In this paper, we address the problem of 3D volume reconstruction from depth adjacent subvolumes (i.e., sets of image frames) acquired using a confocal laser scanning microscope (CLSM). Our goal is to align sub-volumes by estimating an optimal global image transformation which preserves morphological smoothness of medical structures (called features, e.g., blood vessels) inside of a reconstructed 3D volume. We approached the problem by learning morphological characteristics of structures inside of each sub-volume, i.e. centroid trajectories of features. Next, adjacent sub-volumes are aligned by fusing the morphological characteristics of structures using extrapolation or model fitting. Finally, a global sub-volume to subvolume transformation is computed based on the entire set of fused structures. The trajectory-based 3D volume reconstruction method described here is evaluated with a pair of consecutive physical sections using two evaluation metrics for morphological continu
Year
DOI
Venue
2006
10.1109/CVPR.2006.308
CVPR (2)
Keywords
Field
DocType
volume reconstruction,confocal laser scanning microscope,adjacent sub-volumes,morphological smoothness,depth adjacent subvolumes,volume reconstruction method,morphological continu,three-dimensional volume,morphological characteristic,global sub-volume,optimal global image transformation,trajectory fusion,image frame,optical imaging,geometrical optics,microscopy,laser fusion,biomedical imaging,computer vision,three dimensional,image reconstruction
Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Medical imaging,Extrapolation,Geometrical optics,Inertial confinement fusion,Artificial intelligence,Microscopy,Trajectory,Centroid
Conference
ISBN
Citations 
PageRank 
0-7695-2597-0
2
0.38
References 
Authors
4
2
Name
Order
Citations
PageRank
Sang-Chul Lee128724.04
Peter Bajcsy213825.50