Abstract
In this paper, we describe a novel technique for modeling sheet-like white matter (WM) fasciculi using continuous medial representation (cm-rep). In the cm-rep framework, the skeleton of a fasciculus is described by a parametric surface patch. This modeling scheme is particularly appropriate for sheet-like structures, because the shapes of such objects can be effectively captured by their skeletons. We show that dimensionality reduction can be achieved without much loss of spatial specificity by projecting data along the "less interesting" thickness direction onto the skeletons. We demonstrate that local fiber orientation of the modeled fasciculi can be encoded in our framework and show how this information can be leveraged for deriving and analyzing brain connectivity patterns on the skeleton themselves.
| Original language | English (US) |
|---|---|
| Title of host publication | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI |
| Pages | 708-711 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2008 |
| Event | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: May 14 2008 → May 17 2008 |
Other
| Other | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI |
|---|---|
| Country | France |
| City | Paris |
| Period | 5/14/08 → 5/17/08 |
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Keywords
- Diffusion tensor images
- Medial modeling
- Surface-based modeling
- White matter modeling
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
Surface-based modeling of white matter fasciculi with orientation encoding. / Zhang, Hui; Yushkevich, Paul A.; Simon, Tony J; Gee, James C.
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 708-711 4541094.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Surface-based modeling of white matter fasciculi with orientation encoding
AU - Zhang, Hui
AU - Yushkevich, Paul A.
AU - Simon, Tony J
AU - Gee, James C.
PY - 2008
Y1 - 2008
N2 - In this paper, we describe a novel technique for modeling sheet-like white matter (WM) fasciculi using continuous medial representation (cm-rep). In the cm-rep framework, the skeleton of a fasciculus is described by a parametric surface patch. This modeling scheme is particularly appropriate for sheet-like structures, because the shapes of such objects can be effectively captured by their skeletons. We show that dimensionality reduction can be achieved without much loss of spatial specificity by projecting data along the "less interesting" thickness direction onto the skeletons. We demonstrate that local fiber orientation of the modeled fasciculi can be encoded in our framework and show how this information can be leveraged for deriving and analyzing brain connectivity patterns on the skeleton themselves.
AB - In this paper, we describe a novel technique for modeling sheet-like white matter (WM) fasciculi using continuous medial representation (cm-rep). In the cm-rep framework, the skeleton of a fasciculus is described by a parametric surface patch. This modeling scheme is particularly appropriate for sheet-like structures, because the shapes of such objects can be effectively captured by their skeletons. We show that dimensionality reduction can be achieved without much loss of spatial specificity by projecting data along the "less interesting" thickness direction onto the skeletons. We demonstrate that local fiber orientation of the modeled fasciculi can be encoded in our framework and show how this information can be leveraged for deriving and analyzing brain connectivity patterns on the skeleton themselves.
KW - Diffusion tensor images
KW - Medial modeling
KW - Surface-based modeling
KW - White matter modeling
UR - http://www.scopus.com/inward/record.url?scp=51049120050&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51049120050&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2008.4541094
DO - 10.1109/ISBI.2008.4541094
M3 - Conference contribution
AN - SCOPUS:51049120050
SN - 9781424420032
SP - 708
EP - 711
BT - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
ER -