지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Readily available high resolution brain MRI scans allow detailed visualization of the brain structures. Researchers have focused on developing methods to quantify shape differences specific to diseased scans. We have developed a novel method to quantify shape information for a specific population based on Multidimensional scaling(MDS). MDS is a well known tool in statistics and here we apply this classical tool to quantify shape change. Distance measures are required in MDS which are computed from pair-wise image registrations of the training set. Registration step establishes spatial correspondence among scans so that they can be compared in the same spatial framework. One benefit of our method is that it is quite robust to errors in registrations. Applying our method to 13 brain MRI showed clear separation between normal and diseased (Cushing’s syndrome). Intentionally perturbing the image registration results did not significantly affect the separability of two clusters. We have developed a novel method to quantify shape based on MDS, which is robust to image mis-registration.
목차
등록된 정보가 없습니다.
참고문헌 (19)
참고문헌 신청
B. J. Bedell / 1998 / Volumetric analysis of white matter,grey matter,and CSF using fractional volume analysis / Magnetic Resonance in Medicine 39 : 961 ~ 969
C. Meyer / 1997 / Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin plate spline warped
C.Davatzikos / 2004 / Why voxel-based morphometric analysis should be used with great caution when characterizing group differences / NeuroImage 23 : 17 ~ 20
D. L. G. Hill / 2001 / Medical image registration / Physics in medicine and biology 46 : 1 ~ 45
F.L.Bookstein / 1989 / Principal warps:thin-plate splines and the decomposition of deformations / IEEE transactions on pattern analysis and machine intelligence 11 : 567 ~ 5
C. Meyer / 1997 / Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin plate spline warped
C.Davatzikos / 2004 / Why voxel-based morphometric analysis should be used with great caution when characterizing group differences / NeuroImage 23 : 17 ~ 20
D. L. G. Hill / 2001 / Medical image registration / Physics in medicine and biology 46 : 1 ~ 45
F.L.Bookstein / 1989 / Principal warps:thin-plate splines and the decomposition of deformations / IEEE transactions on pattern analysis and machine intelligence 11 : 567 ~ 5
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