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MACHINE-LEARNING BASED CONTRAST AGENT ADMINISTRATION
专利权人:
Siemens Healthcare GmbH
发明人:
Pooyan Sahbaee Bagherzadeh,Saikiran Rapaka
申请号:
US15950430
公开号:
US20190313990A1
申请日:
2018.04.11
申请国别(地区):
US
年份:
2019
代理人:
摘要:
A method comprises: inputting contrast enhancement data for at least one organ of a patient, at least one patient attribute of the patient, and a test bolus data or bolus tracking data to a regressor; receiving a contrast agent administration protocol from the regressor, based on the contrast enhancement data, the at least one patient attribute and the test bolus or bolus tracking data; and injecting a contrast agent into the patient according to the received contrast agent administration protocol.
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中国工程科技知识中心
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