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We propose a novel framework to reconstruct the left ventricle (LV)'s 3D surface from sparse tagged-MRI (tMRI). First we acquire an initial surface mesh from a dense tMRI. Then landmarks are calculated both on contours of a specific new tMRI data and on corresponding slices of the initial mesh. Next, we employ several filters including global deformation, local deformation and remeshing to deform...
Functional segmentation of brain images is important in understating the relationships between anatomy and mental diseases in brains. Volumetric analysis of various brain structures such as the cerebellum plays a critical role in studying the structural changes in brain regions as a function of development, trauma, or neurodegeneration. Although various segmentation methods in clinical studies have...
3D functional segmentation of brain images is important in understating the relationships between anatomy and mental diseases in brains. Volumetric analysis of various brain structures such as the cerebellum plays a critical role in studying the structural changes in brain regions as a function of development, trauma, or neurodegeneration. Although various segmentation methods in clinical studies...
Collision response is an important component in a virtual surgery system, due to the requirements of realtime response and simulation realism. In this paper, we propose a novel hybrid collision response algorithm for generating a smooth feedback force. This algorithm takes the advantages of three traditional methods as well as gets rids of drawbacks of them. It also provides an approach to generate...
Validation for image segmentation plays an important role in medical image processing. Point-mappings based validations process segmentation results by matching corresponding points on surfaces of the segmentation model and the standard model, then evaluate the matches locally and globally. This paper proposes four algorithms of building point-mappings; and creatively applies perfect matching algorithm...
Validation for image segmentation plays an important role in medical image processing. Point-mappings based validations process segmentation results by matching corresponding points on surfaces of the segmentation model and the standard model, then evaluate the matches locally and globally. This paper proposes four algorithms of building point-mappings; and creatively applies perfect matching algorithm...
Validation for image segmentation plays an important role in medical image processing. Point-mappings based validations process segmentation results by matching corresponding points on surfaces of the segmentation model and the standard model, then evaluate the matches locally and globally. This paper proposes four algorithms of building point-mappings; and creatively applies perfect matching algorithm...
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