IEEE Trans Image Process - 3-D curvilinear structure detection filter via structure-ball analysis.

Tópicos

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Resumo

Curvilinear structure detection filters are crucial building blocks in many medical image processing applications, where they are used to detect important structures, such as blood vessels, airways, and other similar fibrous tissues. Unfortunately, most of these filters are plagued by an implicit single structure direction assumption, which results in a loss of signal around bifurcations. This peculiarity limits the performance of all subsequent processes, such as understanding angiography acquisitions, computing an accurate segmentation or tractography, or automatically classifying image voxels. This paper presents a new 3-D curvilinear structure detection filter based on the analysis of the structure ball, a geometric construction representing second order differences sampled in many directions. The structure ball is defined formally, and its computation on a discreet image is discussed. A contrast invariant diffusion index easing voxel analysis and visualization is also introduced, and different structure ball shape descriptors are proposed. A new curvilinear structure detection filter is defined based on the shape descriptors that best characterize curvilinear structures. The new filter produces a vesselness measure that is robust to the presence of X- and Y-junctions along the structure by going beyond the single direction assumption. At the same time, it stays conceptually simple and deterministic, and allows for an intuitive representation of the structure's principal directions. Sample results are provided for synthetic images and for two medical imaging modalities.

Resumo Limpo

curvilinear structur detect filter crucial build block mani medic imag process applic use detect import structur blood vessel airway similar fibrous tissu unfortun filter plagu implicit singl structur direct assumpt result loss signal around bifurc peculiar limit perform subsequ process understand angiographi acquisit comput accur segment tractographi automat classifi imag voxel paper present new d curvilinear structur detect filter base analysi structur ball geometr construct repres second order differ sampl mani direct structur ball defin formal comput discreet imag discuss contrast invari diffus index eas voxel analysi visual also introduc differ structur ball shape descriptor propos new curvilinear structur detect filter defin base shape descriptor best character curvilinear structur new filter produc vessel measur robust presenc x yjunction along structur go beyond singl direct assumpt time stay conceptu simpl determinist allow intuit represent structur princip direct sampl result provid synthet imag two medic imag modal

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