DocumentCode :
3275132
Title :
Three-dimensional alignment and merging of confocal microscopy stacks
Author :
Ramesh, Nisha ; Otsuna, Hideo ; Tasdizen, Tolga
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
1447
Lastpage :
1450
Abstract :
We describe an efficient, robust, automated method for image alignment and merging of translated, rotated and flipped con-focal microscopy stacks. The samples are captured in both directions (top and bottom) to increase the SNR of the individual slices. We identify the overlapping region of the two stacks by using a variable depth Maximum Intensity Projection (MIP) in the z dimension. For each depth tested, the MIP images gives an estimate of the angle of rotation between the stacks and the shifts in the x and y directions using the Fourier Shift property in 2D. We use the estimated rotation angle, shifts in the x and y direction and align the images in the z direction. A linear blending technique based on a sigmoidal function is used to maximize the information from the stacks and combine them. We get maximum information gain as we combine stacks obtained from both directions.
Keywords :
Fourier transforms; biology computing; biomedical engineering; image fusion; optical microscopy; 2D Fourier shift property; 3D image alignment; 3D image merging; MIP images; SNR; flipped confocal microscopy stacks; linear blending technique; rotated confocal microscopy stacks; rotation angle estimation; sigmoidal function; stack overlapping region identification; translated confocal microscopy stacks; variable depth maximum intensity projection; Confocal Microscopy; Fourier Shift Theorem; Maximum Intensity Projection; Zebrafish;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738297
Filename :
6738297
Link To Document :
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