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2007
IEEE

N-Sift: N-Dimensional Scale Invariant Feature Transform for Matching Medical Images

9 years 4 months ago
N-Sift: N-Dimensional Scale Invariant Feature Transform for Matching Medical Images
We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer vision SIFT technique for extracting and matching distinctive scale invariant features in 2D scalar images to scalar images of arbitrary dimensionality. This extension involves using hyperspherical coordinates for gradients and multidimensional histograms to create the feature vectors. These features were successfully applied to determine accurate feature point correspondence between pairs of medical images (3D) and dynamic volumetric data (3D+time).
Warren Cheung, Ghassan Hamarneh
Added 03 Jun 2010
Updated 13 Aug 2010
Type Conference
Year 2007
Where ISBI
Authors Warren Cheung, Ghassan Hamarneh
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