McVeigh E R, Henkelman R M, Bronskill M J
Department of Medical Biophysics, University of Toronto, Canada.
Magn Reson Med. 1990 Feb;13(2):177-91. doi: 10.1002/mrm.1910130202.
A method for evaluating the sensitivity of MRI protocols to changes in an arbitrary number of tissue parameters over a broad range of parameter values is presented. This analysis is useful for choosing an optimal basis set of images for either a "survey" protocol or tissue segmentation algorithms. A survey protocol is required when searching for a lesion of unknown type or location. Segmentation requires unique signal signatures for tissues that may cover a broad range of tissue parameter values. Data acquisition is modeled as a mapping of a domain of tissue parameter values into a signal manifold in a signal strength space defined by the MRI protocol. The efficacy of the protocol is evaluated by investigating the characteristics of the signal manifold. A figure of merit which maximizes the probability of discriminating each point in the domain of tissue parameters from all others is developed.
本文提出了一种方法，用于评估磁共振成像（MRI）协议在广泛的参数值范围内对任意数量组织参数变化的敏感性。该分析对于为“普查”协议或组织分割算法选择最佳图像基集很有用。在寻找未知类型或位置的病变时需要普查协议。分割需要针对可能涵盖广泛组织参数值范围的组织具有独特的信号特征。数据采集被建模为将组织参数值域映射到由MRI协议定义的信号强度空间中的信号流形。通过研究信号流形的特征来评估协议的有效性。开发了一个品质因数，该品质因数可使区分组织参数域中的每个点与所有其他点的概率最大化。
