Superquadratics neural network reconstruction by a mapping engine of an anatomical structure
US-2024346292-A1 · Oct 17, 2024 · US
US9687675B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9687675-B2 |
| Application number | US-201615266264-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 15, 2016 |
| Priority date | Jul 25, 2005 |
| Publication date | Jun 27, 2017 |
| Grant date | Jun 27, 2017 |
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Methods for planning delivery of radiation dose to a target region within a subject comprise: iteratively optimizing a simulated dose distribution relative to a set of one or more optimization goals comprising a desired dose distribution in the subject over a first plurality of control points located on a trajectory, the trajectory comprising relative movement between a radiation source and the subject; reaching one or more initial termination conditions, and after reaching the one or more initial termination conditions: specifying a second plurality of control points along the trajectory and comprising a larger number control points than the first plurality of control points; and iteratively optimizing a simulated dose distribution relative to the set of one or more optimization goals over the second plurality of control points to thereby determine a radiation delivery plan.
Opening claim text (preview).
What is claimed is: 1. A method for planning delivery of radiation dose to a target region within a subject, the method comprising: iteratively optimizing, by a processor, a simulated dose distribution relative to a set of one or more optimization goals comprising a desired dose distribution in the subject over a first plurality of control points located on a trajectory, the trajectory comprising relative movement between a treatment radiation source and the subject; reaching on…
Human Necessities · mapped topic
Human Necessities · mapped topic
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