ParticipantsYingjuan Wu, MS,BEng, Chicago, IL (Presenter) Nothing to Disclose
Abdur Raquib Ridwan, MSc, Chicago , IL (Abstract Co-Author) Nothing to Disclose
Xiaoxiao Qi, BEng, Chicago, IL (Abstract Co-Author) Nothing to Disclose
Shengwei Zhang, PhD, Chicago, IL (Abstract Co-Author) Nothing to Disclose
David A. Bennett, MD, Chicago, IL (Abstract Co-Author) Nothing to Disclose
Konstantinos Arfanakis, PhD, Chicago, IL (Abstract Co-Author) Nothing to Disclose
ywu94@hawk.iit.edu
PURPOSEThe demand for multimodal MRI atlas of the older adult brain is increasing as large amounts of data are generated in aging studies. This work developed high quality T1-weighted (T1w) and diffusion tensor imaging (DTI) templates of the older adult brain in the same space through a proposed iterative multimodal template construction strategy.
METHOD AND MATERIALST1w and DTI data were collected on 202 non-demented older adults (50% male,65.2-94.9 yrs) from Rush Memory and Aging Project. DTI data were aligned to the raw T1w images. In the proposed approach, each iteration has two steps. In step1, a temporary T1w template is generated and the resulting transformations are also applied to the DTI data. In step2, a temporary DTI template is generated and the resulting transformations are also applied to the T1w data. The quality of the templates at each iteration was assessed by the average standard deviation of normalized T1w data, the average pair-wise Euclidean distance of tensors (DTED) and the coherence of primary eigenvectors (COH). The spatial matching between the two templates was assessed by the Spearman's rank correlation between the white matter tissue probability map and the FA map. The final templates were compared with other templates in terms of spatial normalization accuracy when used as a reference for normalization of data from older adults. The average cross-correlation and standard deviation of normalized T1w data and the DTED and COH of normalized DTI data were compared.
RESULTSIt is shown that the spatial normalization of the T1w and DTI data used to construct the templates improves(p<10-10) and the spatial matching between the T1w and DTI templates also improves(p<10-10), suggesting better quality of the templates with more iterations. The final T1w and DTI templates in this work allow higher spatial normalization accuracy of data from older adults compared to other available templates(p<10-10).
CONCLUSIONThis work proposed a new multimodal templates construction approach and generated T1w and DTI templates of the older adult brain in the same space, which allow better spatial normalization of T1w and DTI data from older adults compared to other available templates.
CLINICAL RELEVANCE/APPLICATIONThe templates developed in this work allow higher spatial normalization accuracy of both T1w and DTI data from older adults in common space.