公开(公告)号：US08774475B2

公开(公告)日：2014-07-08

申请号：US13257315

申请日：2010-02-19

申请人： Bernhard Brendel ,  Holger Eggers ,  Adri J. Duijndam

发明人： Bernhard Brendel ,  Holger Eggers ,  Adri J. Duijndam

IPC分类号： G06K9/00

CPC分类号： G01R33/4828 ,  G01R33/56563

摘要： When distinguishing between fat and water in acquired MR data, a modified Dixon technique includes acquiring first and second signals Ii and I2, calculating the first and second components B and S of the signals Iχ and I2, where one of the first and second components corresponds to fat and the other corresponds to water, deriving two differential phase error candidates from them, and selecting a phase error candidate based on the assumption of smoothness of the disturbing field inhomogeneity. The exact determination of the absolute values of the water and fat components is then made by solving three signal equations for two variables that respectively correspond to water and fat, and is performed using for example a least square minimization with a Newton method.

摘要翻译： 在获取的MR数据中区分脂肪和水时，修改的Dixon技术包括获取第一和第二信号Ii和I2，计算信号Iχ和I2的第一和第二分量B和S，其中第一和第二分量中的一个对应于 脂肪，另一个对应于水，从它们中导出两个差分相位误差候选，并且基于干扰场不均匀性的平滑度的假设来选择相位误差候选。 然后通过求解分别对应于水和脂肪的两个变量的三个信号方程，并且使用例如使用牛顿法的最小二乘法来进行水和脂肪成分的绝对值的确切确定。

公开(公告)号：US20120008847A1

公开(公告)日：2012-01-12

申请号：US13257315

申请日：2010-02-19

申请人： Bernhard Brendel ,  Holger Eggers ,  Adri J. Duijndam

发明人： Bernhard Brendel ,  Holger Eggers ,  Adri J. Duijndam

IPC分类号： G06K9/00

CPC分类号： G01R33/4828 ,  G01R33/56563

摘要： When distinguishing between fat and water in acquired MR data, a modified Dixon technique includes acquiring first and second signals Ii and I2, calculating the first and second components B and S of the signals Iχ and I2, where one of the first and second components corresponds to fat and the other corresponds to water, deriving two differential phase error candidates from them, and selecting a phase error candidate based on the assumption of smoothness of the disturbing field inhomogeneity. The exact determination of the absolute values of the water and fat components is then made by solving three signal equations for two variables that respectively correspond to water and fat, and is performed using for example a least square minimization with a Newton method.

摘要翻译： 在获取的MR数据中区分脂肪和水时，修改的Dixon技术包括获取第一和第二信号Ii和I2，计算信号Iχ和I2的第一和第二分量B和S，其中第一和第二分量中的一个对应于 脂肪，另一个对应于水，从它们中导出两个差分相位误差候选，并且基于干扰场不均匀性的平滑度的假设来选择相位误差候选。 然后通过求解分别对应于水和脂肪的两个变量的三个信号方程，并且使用例如使用牛顿法的最小二乘法来进行水和脂肪成分的绝对值的确切确定。