Title :
Symmetry-based 3D brain reconstruction
Author :
Gefen, S. ; Fan, Y. ; Bertrand, L. ; Nissanov, J.
Author_Institution :
Dept. of Neurobiology & Anatomy, Drexel Univ., Philadelphia, PA, USA
Abstract :
In this study we investigate the effectiveness of the symmetry feature when applied to the three-dimensional (3D) reconstruction of mouse brain sections. The symmetry line of each section is estimated, finding the reflective rigid-body transformation that minimizes the absolute distance between a section and its flipped version. Aligning these brain sections´ symmetry lines together forms a 3D brain volume. This symmetry-based brain reconstruction is compared with a moment-based reconstruction. Our results show that a symmetry-based reconstruction is a feasible approach that is less sensitive to local distortion and tears and that will be applicable when the inter-section distance is large.
Keywords :
brain; image reconstruction; medical image processing; moment-based reconstruction; mouse brain; reflective rigid-body transformation; symmetry-based 3D brain reconstruction; Anatomy; Biological materials; Biomedical imaging; Biomedical informatics; Brain; Educational institutions; Image reconstruction; Laboratories; Mice; Optimization methods;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398645