Method for local surface smoothing with application to chest wall nodule segmentation in lung CT data
AssigneeSiemens Medical Solutions USA, Inc.
InventorsHong Shen, Bernhard Göbel, Benjamin Odry
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AssigneeSiemens Medical Solutions USA, Inc.
InventorsHong Shen, Bernhard Göbel, Benjamin Odry
Estimating the term…
We present an algorithm for local surface smoothing in a defined Volume of Interest (“VOI”) cropped from three-dimensional (“3D”) volume data, such as lung computer tomography (“CT”) data. Because the VOI is generally a smooth and piecewise linear surface, the inclusion of one or more bumps may suggest an abnormality. In lung CT data, for example, such bumps can be nodules that are grown from the chest wall. The nodules may represent a possibility of lung cancer. Through surface smoothing, potential pathologies are separated from the surrounding anatomical structures. For example, nodules may be segmented from the chest wall. The separated pathologies can be analyzed as diagnostic evidence.
A computer-implemented method of local surface smoothing of a three-dimensional (“3D”) binary volume of interest (“VOI”), wherein the VOI comprises a plurality of 3D surface points, the method comprising:
A computer-readable medium having program instructions stored thereon for execution by a processor to perform method of local surface smoothing of a three-dimensional (“3D”) binary volume of interest (“VOI”), wherein the VOI comprises a plurality of 3D surface points, the method comprising:
A system of local surface smoothing of a three-dimensional (“3D”) binary volume of interest (“VOI”), wherein the VOI comprises a plurality of 3D surface points, the system comprising:
Dependencies are inferred from the claim text.