US 11,908,568 B2
System and methods for radiographic image quality assessment and protocol optimization
Ting Xia, Vernon Hills, IL (US); Zhou Yu, Vernon Hills, IL (US); Patrik Rogalla, Toronto (CA); and Bernice Hoppel, Vernon Hills, IL (US)
Assigned to CANON MEDICAL SYSTEMS CORPORATION, Otawara (JP); and University Health Network, Toronto (CA)
Filed by CANON MEDICAL SYSTEMS CORPORATION, Otawara (JP); and University Health Network, Toronto (CA)
Filed on Oct. 22, 2020, as Appl. No. 17/077,413.
Prior Publication US 2022/0130520 A1, Apr. 28, 2022
Int. Cl. G06T 7/00 (2017.01); G16H 30/20 (2018.01); G06N 3/04 (2023.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01)
CPC G16H 30/20 (2018.01) [G06N 3/04 (2013.01); G06T 7/0014 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/10028 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/30168 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating a patient-specific imaging protocol using a neural network having been trained to generate at least one probabilistic quality representation corresponding to at least one region of a generated simulated image, comprising:
receiving, by processing circuitry, scout scan data, the received scout scan data including scout scan information and scout scan parameters;
generating, by the processing circuitry, the generated simulated image based on the received scout scan data; scan acquisition parameters, and image reconstruction parameters;
deriving, by the processing circuitry, a simulated dose map from the received scout scan data and the scan acquisition parameters;
evaluating, by the processing circuitry, a determined image quality of the generated simulated image relative to a predetermined image quality threshold and the derived simulated dose map relative to a predetermined dosage threshold; and
generating, by the processing circuitry and based on the evaluating, imaging protocol parameters based on the scan acquisition parameters and the image reconstruction parameters.