Open AccessAtlas-guided correction of brain histology distortion
Author(s) -
Xi Qiu,
Lin Shi,
Tony Pridmore,
Alain Pitiot,
Defeng Wang
Publication year - 2012
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/2153-3539.92038
Subject(s) - atlas (anatomy) , computer science , brain atlas , artificial intelligence , image registration , computer vision , distortion (music) , pattern recognition (psychology) , brain tissue , biomedical engineering , anatomy , image (mathematics) , medicine , amplifier , computer network , bandwidth (computing)
Histological tissue preparation stages (e.g., cutting, sectioning, etc.) often introduce tissue distortions that prevent a smooth 3D reconstruction from being built. In this paper, we propose a method to correct histology distortions by running a piecewise registration scheme. It takes the information of several consecutive slices in a neighborhood into account. In order to achieve an accurate anatomic presentation, we run the method iteratively with the assistance from a pre-segmented brain atlas. The registration parameters are optimized to accommodate different brain sub-regions, e.g., cerebellum, hippocampus, etc. The results are evaluated by both visual and quantitative approaches. The proposed method has been proved to be robust enough for reconstructing an accurate and smooth mouse brain volume