Title:
STANDARDIZED CLOUD RADIOTHERAPY PLANNING METHOD, STORAGE MEDIUM, AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2019/140886
Kind Code:
A1
Abstract:
The present solution relates to the technical field of cloud computing and relates to a standardized cloud radiotherapy planning method, a storage medium, and a system. The method comprises the following steps: (1) patient data is uploaded to a master cloud server (S210), where the patient data comprises a patient image and medical order data; (2) a target area is delineated on the basis of the patient image (S220); (3) the master cloud server assigns a computation task to a controlled computer, the controlled computer uses a standard radiotherapy equipment mode to compute a radiotherapy plan for a patient, thus generating a standard radiotherapy plan (S230); and, (4) a specific radiotherapy plan matching specific radiotherapy equipment is generated on the basis of the standard radiotherapy plan. The method provided in the present solution prevents a delay in treatment time for the patient and idling of treatment resources when a certain type of radiotherapy equipment in a hospital is malfunctioning while other radiotherapy equipment is idling, also balances differences in levels of treatment provided by physicians from different hospital campuses or regions, and also reduces work load for oncologists and medical physicist.
Inventors:
LI GUI (CN)
Application Number:
PCT/CN2018/099445
Publication Date:
July 25, 2019
Filing Date:
August 08, 2018
Export Citation:
Assignee:
BEIJING LINKING MEDICAL TECH CO LTD (CN)
International Classes:
H04L29/08; A61N5/00
Domestic Patent References:
| WO2017133654A1 | 2017-08-10 |
Foreign References:
| CN105893772A | 2016-08-24 | |||
| CN105688335A | 2016-06-22 | |||
| CN107480416A | 2017-12-15 | |||
| US20170143994A1 | 2017-05-25 | |||
| CN103247046A | 2013-08-14 |
Other References:
"World Cancer Report 2014", 3 February 2014, WORLD HEALTH ORGANIZATION (WHO
"Automatic delineation evaluation of nasopharyngeal carcinoma target area", SICHUAN MEDICAL, vol. 36, no. 6, June 2015 (2015-06-01), pages 762 - 765
RONNEBERGER, O.FISCHER, P.BROX, T.: "U-net: Convolutional networks for biomedical image segmentation", INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, October 2015 (2015-10-01), pages 234 - 241, XP055561106, DOI: 10.1007/978-3-319-24574-4_28
DAN NLONG TJIA X, DOSE PREDICTION WITH U -NET: A FEASIBILITY STUDY FOR PREDICTING DOSE DISTRIBUTIONS FROM CONTOURS USING DEEP LEARNING ON PROSTATE IMRT PATIENTS [J, 2017
See also references of EP 3742702A4
"Automatic delineation evaluation of nasopharyngeal carcinoma target area", SICHUAN MEDICAL, vol. 36, no. 6, June 2015 (2015-06-01), pages 762 - 765
RONNEBERGER, O.FISCHER, P.BROX, T.: "U-net: Convolutional networks for biomedical image segmentation", INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, October 2015 (2015-10-01), pages 234 - 241, XP055561106, DOI: 10.1007/978-3-319-24574-4_28
DAN NLONG TJIA X, DOSE PREDICTION WITH U -NET: A FEASIBILITY STUDY FOR PREDICTING DOSE DISTRIBUTIONS FROM CONTOURS USING DEEP LEARNING ON PROSTATE IMRT PATIENTS [J, 2017
See also references of EP 3742702A4
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