Active segmentation of 3D axonal images.
We present an active contour framework for segmenting neuronal axons on 3D confocal microscopy data. Our work is motivated by the need to conduct high throughput experiments involving microfluidic devices and femtosecond lasers to study the genetic mechanisms behind nerve regeneration and repair. While most of the applications for active contours have focused on segmenting closed regions in 2D medical and natural images, there haven't been many applications that have focused on segmenting open-ended curvilinear structures in 2D or higher dimensions. The active contour framework we present here ties together a well known 2D active contour model [5] along with the physics of projection imaging geometry to yield a segmented axon in 3D. Qualitative results illustrate the promise of our approach for segmenting neruonal axons on 3D confocal microscopy data.
Biomedical Engineering, The University of Texas at Austin, TX 78712, USA. gautam.sm@utexas.edu
Gautam S
GS
Muralidhar
Ajay
A
Gopinath
Alan C
AC
Bovik
Adela
A
Ben-Yakar
D000818:Animals; D001369:Axons / Q000378:metabolism*; D017173:Caenorhabditis elegans / Q000166:cytology*; D021621:Imaging, Three-Dimensional; D018613:Microscopy, Confocal