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SYSTEMS AND METHODS FOR PREDICTING ERRORS AND OPTIMIZING PROTOCOLS IN QUANTITATIVE MAGNETIC RESONANCE IMAGING
专利权人:
Duke University;Siemens Healthcare GmbH
发明人:
Xiaodong Zhong,Marcel Dominik Nickel,Stephan Kannengiesser,Brian Dale,Berthold Kiefer,Mustafa R. Bashir
申请号:
US16242353
公开号:
US20200217915A1
申请日:
2019.01.08
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A magnetic resonance imaging system and method are provided for improved determination of noise bias effects in calculating fitted parameters for quantitative MRI procedures. The system and method includes selecting a range for the SNR and fitted parameter values, and for each of a plurality of base pairs of these values and for a plurality of b values, adding a random noise term to the real and imaginary components of a plurality of corresponding signal terms, fitting magnitudes of the resulting “noisy” signals to determine a “noisy” fitted parameter value, and compare the “noisy” and base fitted parameter values to determine a noise-based error for each pair of base values. The noise-based errors can be used to generate an error map, modify imaging parameters to reduce such errors, or correct fitted parameters directly.
来源网站:
中国工程科技知识中心
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http://www.ckcest.cn/home/

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