TY - GEN
T1 - Wavelet-based representation of biological shapes
AU - Dong, Bin
AU - Mao, Yu
AU - Dinov, Ivo D.
AU - Tu, Zhuowen
AU - Shi, Yonggang
AU - Wang, Yalin
AU - Toga, Arthur W.
PY - 2009
Y1 - 2009
N2 - Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from small scales (e.g., microarray imaging and protein structure) to the macro scale (e.g., neuroimaging of human brains). In this paper, we present a new approach to represent and analyze biological shapes using wavelets. We apply the new technique to multi-spectral shape decomposition and study shape variability between populations using brain cortical and subcortical surfaces. The wavelet-space-induced shape representation allows us to study the multi-spectral nature of the shape's geometry, topology and features. Our results are very promising and, comparing to the spherical-wavelets method, our approach is more compact and allows utilization of diverse wavelet bases.
AB - Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from small scales (e.g., microarray imaging and protein structure) to the macro scale (e.g., neuroimaging of human brains). In this paper, we present a new approach to represent and analyze biological shapes using wavelets. We apply the new technique to multi-spectral shape decomposition and study shape variability between populations using brain cortical and subcortical surfaces. The wavelet-space-induced shape representation allows us to study the multi-spectral nature of the shape's geometry, topology and features. Our results are very promising and, comparing to the spherical-wavelets method, our approach is more compact and allows utilization of diverse wavelet bases.
UR - http://www.scopus.com/inward/record.url?scp=72449200719&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72449200719&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10331-5_89
DO - 10.1007/978-3-642-10331-5_89
M3 - Conference contribution
AN - SCOPUS:72449200719
SN - 3642103308
SN - 9783642103308
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 955
EP - 964
BT - Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
T2 - 5th International Symposium on Advances in Visual Computing, ISVC 2009
Y2 - 30 November 2009 through 2 December 2009
ER -