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      Matching a computerized brain atlas to multimodal medical images.

      1 , , , , , ,
      NeuroImage
      Elsevier BV

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          Abstract

          A method for matching a digital brain anatomical atlas to multimodal medical images (MRI, PET, and SPET) was implemented. The digital atlas was derived from anatomical templates of the brain, cut according to the orbitomeatal orientation. The atlas consists of a set of contiguous slices schematically describing the brain as anatomical contours and of a set of regions of interest (ROIs) classifying the brain into functionally homogeneous areas. The matching procedure includes (a) an edge detection method for the extraction of anatomical contours and (b) a warping algorithm based on contour matching to fit the atlas to the individual brain anatomy, as described by MRI. Once the atlas is matched to MRI, the associated templates of ROI can be overlapped with functional PET/SPET studies, individually registered to MRI. The method was tested on MRI studies. The efficacy of the warping algorithm in overlapping atlas and MRI contours was assessed by calculating for each slice an index representing the extent of overlapping (I). Values of I in the range 0.8-0.9 were found (I = 1 complete overlapping). Local accuracy was also verified by comparing the position of correspondent anatomical ROI in the atlas and MRI images before and after warping. The atlas-matching procedure was applied to representative MRI/PET clinical images for an objective regional analysis of functional data.

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          Author and article information

          Journal
          Neuroimage
          NeuroImage
          Elsevier BV
          1053-8119
          1053-8119
          Jul 1997
          : 6
          : 1
          Affiliations
          [1 ] Institute H. S. Raffaele, INB-CNR, Milan, 20132, Italy.
          Article
          S1053-8119(97)90277-9
          10.1006/nimg.1997.0277
          9245655
          c169b038-663a-4d72-b125-e5d9bcb101ae
          History

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