DocumentCode :
462623
Title :
From Human MRI to Microscopy: Co-registration of Human Brain Images to Postmortem Histological Sections
Author :
Singh, M. ; Rajagopalan, A. ; Zarow, C. ; Zhang, X.-L. ; Kim, T.-S. ; Hwang, D. ; Lee, A.-Y. ; Chui, H.
Author_Institution :
Dept. of Radiol., Southern California Univ., Los Angels, CA
Volume :
4
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
1982
Lastpage :
1985
Abstract :
Small vascular lesions seen in human MRI are detected reliably only in postmortem histological samples. Using non-linear polynomial transformation, we report a method to co-register in-vivo MRIs to microscopic examinations of histological samples drawn off the postmortem brain. Digital photographs of postmortem slices served as an intermediate reference to coregister the MRIs to microscopy. In-vivo MRI to postmortem coregistration is challenging due to gross structural deformations in the brain during extraction. Hemispheres of the brain were co-registered separately to mitigate these effects. Approaches relying on matching single-slices, multiple-slices and entire volume in conjunction with different similarity measures suggested that using four slices at a time in combination with two sequential measures, Pearson correlation coefficient followed by mutual information produced the best MRI-postmortem coregistration according to a voxel mismatch count. The accuracy of the overall registration was evaluated by measuring the 3D Euclidean distance between the locations of the microscopically identified vascular lesions and their MRI-postmortem coregistered locations. The results show a mean 3D displacement of 7.5 plusmn 2.7 mm between these locations for 11 vascular lesions in 7 subjects.
Keywords :
biological tissues; biomedical MRI; brain; medical image processing; microscopy; MRI; Pearson correlation coefficient; human brain; image coregistration; magnetic resonance imaging; microscopy; nonlinear polynomial transformation; postmortem histology; voxel mismatch count; Brain; Data mining; Humans; Lesions; Magnetic resonance imaging; Microscopy; Mutual information; Polynomials; Time measurement; Volume measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location :
San Diego, CA
ISSN :
1095-7863
Print_ISBN :
1-4244-0560-2
Electronic_ISBN :
1095-7863
Type :
conf
DOI :
10.1109/NSSMIC.2006.354302
Filename :
4179416
Link To Document :
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