Dongsheng Jiang

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PURPOSE Computer-assisted intervention often depends on multimodal deformable registration to provide complementary information. However, multimodal deformable registration remains a challenging task. METHODS This paper introduces a novel robust and fast modality-independent 3D binary descriptor, called miLBP, which integrates the principle of local(More)
BACKGROUND Segmentation of the magnetic resonance (MR) images is fundamentally important in medical image analysis. Intensity inhomogeneity due to the unknown noise and weak boundary makes it a difficult problem. METHOD The paper presents a novel level set geodesic model which integrates the local and the global intensity information in the signed(More)
PURPOSE Patient-to-image registration is critical to providing surgeons with reliable guidance information in the application of image-guided neurosurgery systems. The conventional point-matching registration method, which is based on skin markers, requires expensive and time-consuming logistic support. Surface-matching registration with facial surface(More)
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