Premium
Optimization of survey protocols for mri
Author(s) -
Mcveigh Elliot R.,
Mark Henkelman R.,
Bronskill Michael J.
Publication year - 1990
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910130202
Subject(s) - computer science , segmentation , protocol (science) , signal (programming language) , range (aeronautics) , set (abstract data type) , sensitivity (control systems) , pattern recognition (psychology) , artificial intelligence , basis (linear algebra) , algorithm , manifold (fluid mechanics) , data set , data mining , mathematics , pathology , medicine , geometry , materials science , alternative medicine , electronic engineering , engineering , programming language , mechanical engineering , composite material
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.