公开(公告)号：US09194925B2

公开(公告)日：2015-11-24

申请号：US14054903

申请日：2013-10-16

申请人： Xiaodong Zhong ,  Marcel Dominik Nickel ,  Stephan Kannengiesser

发明人： Xiaodong Zhong ,  Marcel Dominik Nickel ,  Stephan Kannengiesser

IPC分类号： G01R33/50 ,  G01R33/48

CPC分类号： G01R33/4828 ,  G01R33/50

摘要： A computer-implemented method for quantifying fat and iron in anatomical tissue includes acquiring a plurality of multi-echo signal datasets representative of the anatomical tissue using a magnetic resonance (MR) pulse sequence. A plurality of multi-echo signal datasets are selected from the plurality of multi-echo signal datasets and used to determine a first water magnitude value and a first fat magnitude value. In response to determining that the multi-echo signal datasets include at least three multi-echo datasets, a first stage analysis is performed. This first stage analysis comprises selecting a first effective transverse relaxation rate value. Next, first algorithm inputs comprising the first water magnitude value, the first fat magnitude value, and the first effective transverse relation rate value are created. Then, a non-linear fitting algorithm is performed based on the first algorithm inputs to calculate a second water magnitude value, a second fat magnitude value, and a second effective transverse relaxation rate value. A first proton density fat fraction value is then determined based on the second water magnitude value and the second fat magnitude value.

摘要翻译： 用于在解剖组织中量化脂肪和铁的计算机实现的方法包括使用磁共振（MR）脉冲序列获取代表解剖组织的多个多回波信号数据集。 从多个多回波信号数据集中选择多个多回波信号数据集，并用于确定第一水量值和第一脂肪量值。 响应于确定多回波信号数据集包括至少三个多回波数据集，执行第一阶段分析。 该第一阶段分析包括选择第一有效横向松弛率值。 接下来，创建包括第一水量值，第一脂肪量值和第一有效横向关系速率值的第一算法输入。 然后，基于第一算法输入来执行非线性拟合算法，以计算第二水量值，第二脂肪量值和第二有效横向松弛率值。 然后基于第二水量值和第二脂肪量值来确定第一质子密度脂肪分数值。