TY - GEN
T1 - Brain surface conformal parameterization with the slit mapping
AU - Wang, Yalin
AU - Gu, Xianfeng
AU - Chan, Tony F.
AU - Thompson, Paul M.
AU - Yau, Shing Tung
PY - 2008/9/10
Y1 - 2008/9/10
N2 - Brain surface conformal mapping has been studied intensively. In this paper, we propose a method that computes a conformal mapping from a multiply connected mesh to the so-called slit domain, which consists of a canonical rectangle or disk in which 3D curved landmarks on the original surfaces are mapped to concentric or parallel lines in the slit domain. After cutting along some landmark curve features on surface models of the cerebral cortex, we obtain multiple connected domains. By computing exact harmonic one-forms, closed harmonic one-forms, and holomorphic one-forms, we are able to build a circular slit mapping that conformally maps the surface to an annulus with some concentric arcs and a rectangle with some slits. The whole algorithm is based on solving linear systems so it is very stable. In the slit domain parameterization results, the feature curves are either mapped to straight lines or a concentric arcs. This representation is convenient for anatomical visualization, and may assist statistical comparisons of anatomy, surface-based registration and signal processing. Preliminary experimental results parameterizing various brain anatomical surfaces are presented.
AB - Brain surface conformal mapping has been studied intensively. In this paper, we propose a method that computes a conformal mapping from a multiply connected mesh to the so-called slit domain, which consists of a canonical rectangle or disk in which 3D curved landmarks on the original surfaces are mapped to concentric or parallel lines in the slit domain. After cutting along some landmark curve features on surface models of the cerebral cortex, we obtain multiple connected domains. By computing exact harmonic one-forms, closed harmonic one-forms, and holomorphic one-forms, we are able to build a circular slit mapping that conformally maps the surface to an annulus with some concentric arcs and a rectangle with some slits. The whole algorithm is based on solving linear systems so it is very stable. In the slit domain parameterization results, the feature curves are either mapped to straight lines or a concentric arcs. This representation is convenient for anatomical visualization, and may assist statistical comparisons of anatomy, surface-based registration and signal processing. Preliminary experimental results parameterizing various brain anatomical surfaces are presented.
KW - Biomedical imaging
KW - Brain mapping
KW - Slit mapping
KW - Surface parameterization
UR - http://www.scopus.com/inward/record.url?scp=51049118787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049118787&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2008.4541029
DO - 10.1109/ISBI.2008.4541029
M3 - Conference contribution
AN - SCOPUS:51049118787
SN - 9781424420032
T3 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
SP - 448
EP - 451
BT - 2008 5th IEEE International Symposium on Biomedical Imaging
T2 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Y2 - 14 May 2008 through 17 May 2008
ER -