Invention Grant
- Patent Title: Apparatus and process for optimizing radiation detection counting times using machine learning
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Application No.: US16978156Application Date: 2019-03-04
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Publication No.: US11249199B2Publication Date: 2022-02-15
- Inventor: Ophir Frieder , Steven Richard Reese , Jessica Ryan Curtis
- Applicant: Oregon State University
- Applicant Address: US OR Corvallis
- Assignee: Oregon State University
- Current Assignee: Oregon State University
- Current Assignee Address: US OR Corvallis
- Agency: Mughal IP P.C.
- International Application: PCT/US2019/020613 WO 20190304
- International Announcement: WO2019/177799 WO 20190919
- Main IPC: G01T1/18
- IPC: G01T1/18 ; G01T1/36 ; G01T1/17

Abstract:
A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving an output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.
Public/Granted literature
- US20210041581A1 APPARATUS AND PROCESS FOR OPTIMIZING RADIATION DETECTION COUNTING TIMES USING MACHINE LEARNING Public/Granted day:2021-02-11
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