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US Patent 9987502 Radiation therapy treatment planning using regression

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Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
99875021
Patent Inventor Names
Sani R. Nassif1
Chin Ngai Sze1
Tom Osiecki1
Anne E. Gattiker1
Date of Patent
June 5, 2018
1
Patent Application Number
153710021
Date Filed
December 6, 2016
1
Patent Citations Received
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US Patent 11986677 Triggered treatment systems and methods
2
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US Patent 11673003 Dose aspects of radiation therapy planning and treatment
3
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US Patent 11712579 Range compensators for radiation therapy
4
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US Patent 11766574 Geometric aspects of radiation therapy planning and treatment
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US Patent 11857805 Increased beam output and dynamic field shaping for radiotherapy system
5
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US Patent 11865364 Flash therapy treatment planning and oncology information system having dose rate prescription and dose rate mapping
6
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US Patent 11865361 System and method for scanning pattern optimization for flash therapy treatment planning
7
Patent Primary Examiner
‌
David A. Vanore
1
Patent abstract

A method and system are provided. The method includes splitting, by a processor based on radiation beamlet contributions to neighboring voxels, at least one row in a voxel-beamlet matrix and corresponding elements of a target dose vector prior to, and in preparation for, a regression operation. The voxel-beamlet matrix has a row for each of a plurality of voxels in a three-dimensional patient volume and a column for each of a plurality of radiation beamlets. The target dose vector represents a desired energy amount for each of the plurality of voxels in the three-dimensional patient volume. The target dose vector corresponds voxel-by-voxel to rows in the voxel-beamlet matrix. The method further includes performing, by the processor, the regression operation on the voxel-beamlet matrix and target dose vector to obtain beamlet weights. The method also includes determining an actual radiation dosing scheme for a given patient based on the beamlet weights.

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