SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
发明人:
Xi Peng,Dong Liang,Xin Liu,Hairong Zheng
申请号：
US15618979
公开号：
US10620287B2
申请日:
2017.06.09
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The application provides a method, apparatus and computer program product for denoising a magnetic resonance diffusion tensor, wherein the method comprises: collecting data of K space； calculating a maximum likelihood estimator of a diffusion tensor according to the collected data of K space； calculating a maximum posterior probability estimator of the diffusion tensor by using sparsity of the diffusion tensor and sparsity of a diffusion parameter and taking the calculating maximum likelihood estimator as an initial value； and calculating the diffusion parameter according to the calculated maximum posterior probability estimator. The application solves the technical problem in the prior art of how to realize high precision denoising of diffusion tensor while not increasing scanning time and affecting spatial resolution, achieves the technical effects of effectively suppressing noises in the diffusion tensor and improving the estimation accuracy of the diffusion tensor.
