DocumentCode :
80616
Title :
3-D Registration of Biological Images and Models: Registration of microscopic images and its uses in segmentation and annotation
Author :
Lei Qu ; Fuhui Long ; Hanchuan Peng
Author_Institution :
Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
Volume :
32
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
70
Lastpage :
77
Abstract :
The registration, segmentation, and annotation of microscopy images and respective biological objects (e.g., cells) are distinct challenges often encountered in bioimage informatics. Here we present several studies in widely used model systems of the fruit fly, zebrafish, and C. elegans to demonstrate how registration methods have been employed to align three-dimensional (3-D) brain images at a very large scale and to solve challenging segmentation and annotation problems for 3-D cellular images. Specifically, we consider two types of registration between images and models: image-to-image registration and model-to-image registration, where a model consists of a description of the geometrical shape or the spatial layout of biological objects in the respective images.
Keywords :
bioinformatics; brain; cellular biophysics; image registration; image segmentation; zoology; 3D biological image registration; 3D cellular images; C. elegans; bioimage informatics; biological objects; fruit fly; geometrical shape; image-to-image registration; microscopic image annotation; microscopic image registration; microscopic image segmentation; model-to-image registration; spatial layout; three-dimensional brain images; zebrafish; Biological system modeling; Biomedical imaging; Cells (biology); Image registration; Image segmentation; Microscropy; Three-dimensional displays;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2014.2354060
Filename :
6978047
Link To Document :
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