By Topic

Segmentation of anatomo-functional 3D post mortem data using a MRI-based 3D digital atlas: Transgenic mouse brains study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
J. Lebenberg ; MIRCen-LMN-CNRS-URA 2210, CEA-DSV-I2BM, Fontenay-aux-Roses, France ; A. -S. Herard ; A. Dubois ; M. Dhenain
more authors

Many analyses in neurosciences are carried out on histological and autoradiographic datasets and performed by manually drawing regions of interest on these 2D post mortem data. Such task being time-consuming, we propose an automated segmentation strategy to analyze 3D post mortem brain images. This method is based on the co-registration of a MRI-based 3D digital atlas on 3D-reconstructed post mortem data. We first deformed the original MRI on post mortem volumes. We then applied deformation parameters to warp the digital atlas. The method was tested on APP/PS1 mouse models of Alzheimer's disease and PS1 control littermates. Its reliability was qualitatively evaluated and a quantitative assessment was performed by comparing atlas and manual segmentations. Our results show this approach is promising to investigate at organ scale post mortem mouse datasets faster and in a more robust manner than with classical methods.

Published in:

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Date of Conference:

June 28 2009-July 1 2009