Computers and Biomedical Research
Digital Image Processing
Computer Methods for Mathematical Computations
Computer Methods for Mathematical Computations
Liver Definition in CT Using a Population-Based Shape Model
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Information Technology in Biomedicine
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
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We present a novel and efficient method for localization of human brain structures such as hippocampus. Landmark localization is important for segmentation and registration. This method follows a statistical roadmap, consisting of anatomical landmarks, to reach the desired structures. Using a set of desired and undesired landmarks, identified on a training set, we estimate Gaussian models and determine optimal search areas for desired landmarks. The statistical models form a set of rules to evaluate the extracted landmarks during the search procedure. When applied on 900 MR images of 10 epileptic patients, this method demonstrated an overall success rate of 83%.