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MEDICAL IMAGE DIAGNOSTIC SYSTEM AND METHOD FOR GENERATING TRAINED MODEL
专利权人:
CANON MEDICAL SYSTEMS CORPORATION
发明人:
Masaharu TSUYUKI
申请号:
US16727144
公开号:
US20200219252A1
申请日:
2019.12.26
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A medical image diagnostic system according to an embodiment includes processing circuitry configured: to acquire a trained model generated by using, as learning data, at least one selected from among a first group of time-series images acquired by performing a first pre-scan on a first patient injected with a contrast agent in a first examination using the medical image diagnostic system, a first group of time-series partial images being generated on the basis of the first group of time-series images and corresponding to a first region of interest of the first patient, and first time-series information about signal intensities in the first region of interest generated on the basis of the first group of time-series images, as well as timing information about timing of a transition from the first pre-scan to a first main scan in the first examination, and information about appropriateness of the timing; and to determine, in a second examination different from the first examination, appropriate timing of a transition from a second pre-scan to a second main scan by inputting, to the trained model, at least one selected from among a second group of time-series images acquired by performing the second pre-scan on a second patient injected with a contrast agent in the second examination different from the first examination, a second group of time-series partial images being generated on the basis of the second group of time-series images and corresponding to a second region of interest of the second patient, and second time-series information about signal intensities in the second region of interest generated on the basis of the second group of time-series images.
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中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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