ARTIFICIAL NEURAL NETWORK BASED RADIOTHERAPY SAFETY SYSTEM

ARTIFICIAL NEURAL NETWORK BASED RADIOTHERAPY SAFETY SYSTEM

Various embodiments are described herein of radiation systems and methods for monitoring radiation dose are provided monitoring an amount of radiation in a radiation beam generated by a radiation source for a radiation treatment session, where a radiation sensor is used to provide an actual radiatio...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Jaffray, David Anthony, Heaton, Robert K, Farrokhkish, Makan, Islam, Mohammad Khairul, Cho, Young-Bin, Norrlinger, Bernhard Dieter
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTROTHERAPY
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MAGNETOTHERAPY
MEASUREMENT OF NUCLEAR OR X-RADIATION
MEASURING
MEDICAL OR VETERINARY SCIENCE
PHYSICS
RADIATION THERAPY
TESTING
ULTRASOUND THERAPY
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Beschreibung
Zusammenfassung:Various embodiments are described herein of radiation systems and methods for monitoring radiation dose are provided monitoring an amount of radiation in a radiation beam generated by a radiation source for a radiation treatment session, where a radiation sensor is used to provide an actual radiation measurement and an Artificial Neural Network (ANN) engine is used to generate a predicted radiation measurement based on a plurality of feature values for features including radiation field segments from the radiation treatment plan data for the radiation treatment session. The difference between the actual radiation measurement and the predicted radiation measurement is used to determine whether the radiation system is operating in a predetermined safe operation range.