TRADITIONAL POSTER - ismrm

Poster Sessions
3161. Spatial Normalization of Diffusion Spectrum Imaging Using Large Deformation Diffeomorphic Metric
Mapping
Yung-Chin Hsu 1 , Ching-Han Hsu 2 , Wen-Yih Tseng 3
1 National Tsing Hua University, Hsin-Chu, Taiwan; 2 National Tsing Hua University, Taiwan; 3 Center for Optoelectronic Biomedicine
and Department of Medical Imaging
Problems of image registration has been well studied in the neuroimaging field. However, the registration of the diffusion MRI data, especially to align the
fiber orientations among different brains, is not readily applicable using current available packages. We generalized the conventional 3D registration to the
6D scenario by implementing LDDMM algorithm. The results demonstrate the proposed method is applicable for the registration between DSI datasets.
3162. Cortical Shape Analysis Using Spherical Wavelet Decomposition of Curvature
Kim Mouridsen 1,2 , Rudolph Pienaar 3,4
1 Neuroradiology, Center for Functionally Integrative Neuroscience, Aarhus, Denmark; 2 Radiology, Massachusetts General Hospital,
Boston, MA, United States; 3 Radiology, Childrens Hospital Boston, Boston, MA, United States; 4 Radiology, Harvard Medical School,
Boston, MA, United States
We present a method to analyze cortical shapes based on wavelet decomposition of curvature functions. Using spherical harmonics as effective encoding, we
show that groups of healthy controls and patients suffering from polymicrogyria may be identified using automated classification techniques.
3163. Is Quantitative T2 Sensitive to Tumor Cell Infiltration?
Tonima Sumya Ali 1 , Thorarin Bjarnason 1 , Beichen Sun 1 , Xueqing Lun 1 , Donna Senger 1,2 , Peter Forsyth 1,3 ,
Jeff Dunn 1,4 , Joseph Ross Mitchell 1,3
1 University of Calgary, Calgary, Alberta, Canada; 2 Tom Baker Cancer Centre; 3 Southern Alberta Cancer Research Institute;
4 Hotchkiss Brain Institute
Quantitative analysis of multi-echo T 2 relaxation has been used to examine micro compartmental structures in rat glioblastoma tumors. The infiltrative nature
of malignant gliomas poses a major clinical challenge in rendering tumors incurable by conventional techniques. Recently, brain tumor initiating cells
(BTIC) have been hypothesized to represent the cell of origin for these tumors. We analyzed 5 mouse brains in vivo inoculated with BTIC to characterize the
changes in T 2 distributions for each heterogeneous tumor. Based on the qualitative comparison between segmented geometric mean T 2 map and histology
staining, 4 regions were identified that corresponded to varying tumor cell densities.