Title :
3D dendritic spine automatic detection and segmentation through samples obtained by confocal microscopy
Author :
Fernandez-Soria, L. ; Sanchez, J.M.P.
Author_Institution :
Dept. de Arquitectura y Tecnol. de Sist. Informaticos, Univ. Politec. de Madrid, Boadilla del Monte, Spain
Abstract :
Dendritic spines are a small protrusions from a neuron´s dendrite that typically receives input from a single synapse of an axon. We propose an automatic method to obtain dendritic spines parameters, in terms of length, volume, angles and density.
Keywords :
image segmentation; medical image processing; microscopy; object detection; 3D dendritic spine automatic detection; 3D dendritic spine segmentation; angles; axon single synapse; confocal microscopy; dendritic spines parameters; density; length; neuron dendrite; volume; Algorithm design and analysis; Deconvolution; Image segmentation; Microscopy; Shape; Skeleton; Software algorithms; Dendritic spines; Marching Cubes; Neuroscience; Segmentation; Watershed;
Conference_Titel :
High Performance Computing and Simulation (HPCS), 2012 International Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-2359-8
DOI :
10.1109/HPCSim.2012.6266998
