Name
Abstract | ||
|---|---|---|
This paper introduces a brain injury detection approach, using 3D filtering technique, for the images acquired by the magnetic resonance imaging (MRI) technique. The proposed method uses the symmetry property of brain MRI on both 2D images and 3D volumetric information of the MRI sequences. The approach consists of two key steps: (1) each slice of a brain image is segmented into different parts using a region growing algorithm, and a symmetry affinity matrix is computed, (2) non-symmetric regions are extracted, and they are further used to detect brain injury. The Kalman filter is explicitly used in step (2) to filter out the non-injury regions in 3D. Experiments are carried out to indicate the high efficiency of the method to detect the brain injuries. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICPR.2010.629 | ICPR |
Keywords | Field | DocType |
injury detection,3d volumetric information,brain injury detection approach,symmetry property,kalman filter,mri injury detection,brain image segmentation,mri sequences,2d images,3d filtering technique,brain image,image segmentation,mri sequence,region growing algorithm,brain mri,brain injury,feature extraction,magnetic resonance imaging technique,biomedical mri,symmetry affinity,different part,image sequences,mri technique,object detection,brain,filtering theory,symmetry affinity matrix,nonsymmetric region extraction,medical image processing,symmetry,region growing,magnetic resonance image,kalman filters,brain imaging,magnetic resonance imaging | Object detection,Computer vision,Brain mri,Pattern recognition,Computer science,Filter (signal processing),Feature extraction,Kalman filter,Image segmentation,Artificial intelligence,Real-time MRI,Magnetic resonance imaging | Conference |
ISSN | ISBN | Citations |
1051-4651 | 978-1-4244-7542-1 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |