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AssigneeRefleXion Medical, Inc.
InventorsFoma MIRONENKO, Yevgen VORONENKO, Lingxiong SHAO
Estimating the term…
Disclosed herein are statistical methods that use randomized sampling to generate a precise dose volume histogram (DVH) without the computational intensity of subdivision methods that rely on super-sampling of a 3D dose image. One variation of a method rapidly generates a DVH from a dose image by generating a randomly spaced point cloud of arbitrary size for each voxel of a volume of interest (VOI). These methods may be used to help expedite radiotherapy treatment planning and/or facilitate clinician review of whether a radiation dose distribution is acceptable. These methods may also be used to facilitate the calculation of bounded DVH curves. In some variations, adaptive radiotherapy methods may use these rapidly-generated DVHs to update or adjust radiation delivery on the day of treatment.
The method of claim 36, wherein generating the VOI point cloud comprises
The method of claim 36, wherein generating the VOI point cloud further comprises using point-in-polygon testing to exclude points outside the VOI contour.
The method of claim 36, wherein obtaining dose values at each point in the VOI point cloud uses a dose image.
The method of claim 36, wherein calculating the dose value for the points in the VOI point cloud comprises interpolating a dose volume in a dose image.
The method of claim 36, wherein generating the DVH curve comprises plotting the proportion of sampled points at the discrete dose levels.
The method of claim 36, further comprising generating a graphical user interface that comprises a plot of the DVH curve.
20-35. (canceled)
A method of generating a dose volume histogram (DVH) curve for a volume of interest (VOI) defined by a VOI contour, the method comprising:
Dependencies are inferred from the claim text.