DocumentCode :
2521816
Title :
N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES
Author :
Cheung, Warren ; Hamarneh, Ghassan
Author_Institution :
Bioinf., British Columbia Univ., Vancouver, BC
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
720
Lastpage :
723
Abstract :
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).
Keywords :
biomedical MRI; computerised tomography; feature extraction; image matching; medical image processing; SIFT; dynamic volumetric data; hyperspherical coordinates; invariant feature transform; medical image matching; multidimensional histograms; Bioinformatics; Biomedical imaging; Breast; Gaussian approximation; Histograms; Image analysis; Kernel; Laplace equations; Multidimensional systems; Object recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.356953
Filename :
4193387
Link To Document :
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