DocumentCode :
1107521
Title :
Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections
Author :
Carlbom, Ingrid ; Terzopoulos, Demetri ; Harris, Kristen M.
Author_Institution :
Cambridge Res. Lab., Digital Equipment Corp., Cambridge, MA, USA
Volume :
13
Issue :
2
fYear :
1994
fDate :
6/1/1994 12:00:00 AM
Firstpage :
351
Lastpage :
362
Abstract :
Neuroscientists have studied the relationship between nerve cell morphology and function for over a century. To pursue these studies, they need accurate three-dimensional models of nerve cells that facilitate detailed anatomical measurement and the identification of internal structures. Although serial transmission electron microscopy has been a source of such models since the mid 1960s, model reconstruction and analysis remain very time consuming. The authors have developed a new approach to reconstructing and visualizing 3D nerve cell models from serial microscopy. An interactive system exploits recent computer graphics and computer vision techniques to significantly reduce the time required to build such models. The key ingredients of the system are a digital “blink comparator” for section registration, “snakes,” or active deformable contours, for semiautomated cell segmentation, and voxel-based techniques for 3D reconstruction and visualization of complex cell volumes with internal structures
Keywords :
biological techniques and instruments; biology computing; cellular biophysics; image reconstruction; image segmentation; neurophysiology; transmission electron microscope examination of materials; 3D reconstruction; active deformable contours; blink comparator; complex cell volumes; computer graphics; computer vision; computer-assisted registration; detailed anatomical measurement; interactive system; internal structures identification; nerve cell morphology; neuronal tissue section images; section registration; semiautomated cell segmentation; serial transmission electron microscopy; voxel-based techniques; Computer graphics; Computer vision; Data visualization; Diseases; Electron microscopy; Image reconstruction; Image segmentation; Interactive systems; Morphology; Transmission electron microscopy;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.293928
Filename :
293928
Link To Document :
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