DocumentCode
3509354
Title
Trace driven registration of neuron confocal microscopy stacks
Author
Hogrebe, Luke ; Paiva, Antonio R C ; Jurrus, Elizabeth ; Christensen, Cameron ; Bridge, Michael ; Korenberg, J.R. ; Tasdizen, Tolga
Author_Institution
Sci. Comput. & Imaging Inst., Univ. of Utah, Salt Lake City, UT, USA
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
1345
Lastpage
1348
Abstract
Active research in the area of 3-D neurite tracing has predominantly focused on single sections. Ultimately, however, neurobiologists desire to study the long range connectivity of the brain, which requires tracing axons across multiple serially-cut sections. Registration of axonal sections is challenging due to several factors, such as sparseness of the axons and complications of the sectioning process, including tissue deformation and loss. This paper investigates a method for registering sections using centerline traces which provide the locations of axons at section boundaries and the angles at which the axons approach the boundaries. This information is used to determine correspondences between two serial sections. Both global and local differences are accounted for using rigid and non-rigid transforms. Results show that utilizing information from traced axons allows axon continuity across sections to be restored.
Keywords
biological tissues; biomechanics; biomedical optical imaging; brain; deformation; fluorescence; image registration; medical image processing; neurophysiology; optical microscopy; 3D neurite tracing; brain; centerline tracing; long range connectivity; neuron confocal microscopy stacks; tissue deformation; tissue loss; trace driven registration; tracing axons; Accuracy; Biomedical imaging; Microscopy; Nerve fibers; Optical microscopy; Transforms; Axonal section registration; Non-rigid point registration; Serial section registration;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872649
Filename
5872649
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