- 专利标题: SYSTEMS AND METHODS FOR PREDICTING ERRORS AND OPTIMIZING PROTOCOLS IN QUANTITATIVE MAGNETIC RESONANCE IMAGING
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申请号: US16242353申请日: 2019-01-08
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公开(公告)号: US20200217915A1公开(公告)日: 2020-07-09
- 发明人: Xiaodong Zhong , Marcel Dominik Nickel , Stephan Kannengiesser , Brian Dale , Berthold Kiefer , Mustafa R. Bashir
- 申请人: Siemens Healthcare GmbH , Duke University
- 主分类号: G01R33/56
- IPC分类号: G01R33/56 ; G01R33/563 ; G01R33/565 ; A61B5/055 ; A61B5/00
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.