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