• 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