title: Optimization of parameter values for complex pulse sequences by simulated annealing: application to 3D MP-RAGE imaging of the brain.
abstract: A number of pulse sequence techniques, including magnetization-prepared gradient echo (MP-GRE), segmented GRE, and hybrid RARE, employ a relatively large number of variable pulse sequence parameters and acquire the image data during a transient signal evolution. These sequences have recently been proposed and/or used for clinical applications in the brain, spine, liver, and coronary arteries. Thus, the need for a method of deriving optimal pulse sequence parameter values for this class of sequences now exists. Due to the complexity of these sequences, conventional optimization approaches, such as applying differential calculus to signal difference equations, are inadequate. We have developed a general framework for adapting the simulated annealing algorithm to pulse sequence parameter value optimization, and applied this framework to the specific case of optimizing the white matter-gray matter signal difference for a T1-weighted variable flip angle 3D MP-RAGE sequence. Using our algorithm, the values of 35 sequence parameters, including the magnetization-preparation RF pulse flip angle and delay time, 32 flip angles in the variable flip angle gradient-echo acquisition sequence, and the magnetization recovery time, were derived. Optimized 3D MP-RAGE achieved up to a 130% increase in white matter-gray matter signal difference compared with optimized 3D RF-spoiled FLASH with the same total acquisition time. The simulated annealing approach was effective at deriving optimal parameter values for a specific 3D MP-RAGE imaging objective, and may be useful for other imaging objectives and sequences in this general class.
authors.affiliation: Department of Radiology, University of Virginia Health Sciences Center, Charlottesville 22908.
authors.forename: F H
authors.initials: FH
authors.lastname: Epstein
authors.forename: J P
authors.initials: JP
authors.lastname: Mugler
authors.forename: J R
authors.initials: JR
authors.lastname: Brookeman
mesh_terms: D000273:Adipose Tissue / Q000033:anatomy & histology; D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology*; D002421:Caudate Nucleus / Q000033:anatomy & histology; D002552:Cerebral Ventricles / Q000033:anatomy & histology; D002555:Cerebrospinal Fluid; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008961:Models, Structural; D008962:Models, Theoretical; D011699:Putamen / Q000033:anatomy & histology; D014059:Tongue / Q000033:anatomy & histology