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1. WO2020064715 - METHODS AND SYSTEMS FOR RADIOTHERAPY TREATMENT PLANNING USING DEEP LEARNING ENGINES

Publication Number WO/2020/064715
Publication Date 02.04.2020
International Application No. PCT/EP2019/075682
International Filing Date 24.09.2019
IPC
A61N 5/10 2006.01
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
G16H 20/40 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
20ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
40relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
G16H 30/40 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
G06T 7/174 2017.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
10Segmentation; Edge detection
174involving the use of two or more images
CPC
A61N 2005/1041
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
103Treatment planning systems
1041using a library of previously administered radiation treatment applied to other patients
A61N 2005/1061
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
1048Monitoring, verifying, controlling systems and methods
1049for verifying the position of the patient with respect to the radiation beam
1061using an x-ray imaging system having a separate imaging source
A61N 5/103
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
103Treatment planning systems
A61N 5/1031
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
103Treatment planning systems
1031using a specific method of dose optimization
A61N 5/1038
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
103Treatment planning systems
1038taking into account previously administered plans applied to the same patient, i.e. adaptive radiotherapy
A61N 5/1039
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
103Treatment planning systems
1039using functional images, e.g. PET or MRI
Applicants
  • VARIAN MEDICAL SYSTEMS INTERNATIONAL AG [CH]/[CH]
Inventors
  • LAAKSONEN, Hannu
  • CORDERO MARCOS, Maria
  • CZEIZLER, Elena
  • NORD, Janne
  • PERTTU, Sami Petri
Agents
  • FOSTER, Mark
Priority Data
16/145,46128.09.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) METHODS AND SYSTEMS FOR RADIOTHERAPY TREATMENT PLANNING USING DEEP LEARNING ENGINES
(FR) PROCÉDÉS ET SYSTÈMES POUR PLANIFICATION D'UN TRAITEMENT PAR RADIOTHÉRAPIE UTILISANT DES MOTEURS D'APPRENTISSAGE PROFOND
Abstract
(EN)
Example methods for radiotherapy treatment planning using deep learning engines are provided. One example method may comprise obtaining first image data (211) associated with a patient; generating first feature data (241) by processing the first image data associated with a first resolution level using a first processing pathway (221); generating second feature data (242) by processing second image data (212) associated with a second resolution level using a second processing pathway (222); and generating third feature data (243) by processing third image data (213) associated with a third resolution level using a third processing pathway (223). The example method may also comprise generating a first combined set of feature data (252) associated with the second resolution level, and a second combined set of feature data associated with the first resolution level based on the first feature data and the first combined set. Further, the example method may comprise generating output data (260) associated with radiotherapy treatment of the patient.
(FR)
Des exemples de procédés pour la planification d'un traitement par radiothérapie utilisant des moteurs d'apprentissage profond sont décrits. Un procédé donné à titre d'exemple peut comprendre : l'obtention de premières données d'image (211) associées à un patient ; la génération de premières données caractéristiques (241) par traitement des premières données d'image associées à un premier niveau de résolution à l'aide d'une première voie de traitement (221) ; la génération de deuxièmes données caractéristiques (242) par traitement de deuxièmes données d'image (212) associées à un deuxième niveau de résolution à l'aide d'une deuxième voie de traitement (222) ; et la génération de troisièmes données caractéristiques (243) par traitement de troisièmes données d'image (213) associées à un troisième niveau de résolution à l'aide d'une troisième voie de traitement (223). Le procédé donné à titre d'exemple peut également consister à générer un premier ensemble combiné de données caractéristiques (252) associées au deuxième niveau de résolution, et un second ensemble combiné de données caractéristiques associées au premier niveau de résolution sur la base des premières données caractéristiques et du premier ensemble combiné. En outre, le procédé donné à titre d'exemple peut consister à générer des données de sortie (260) associées au traitement par radiothérapie du patient.
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