Comput Math Methods Med - A new particle swarm optimization-based method for phase unwrapping of MRI data.

Tópicos

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Resumo

A new method based on discrete particle swarm optimization (dPSO) algorithm is proposed to solve the branch-cut phase unwrapping problem of MRI data. In this method, the optimal order of matching the positive residues with the negative residues is first identified by the dPSO algorithm, then the branch cuts are placed to join each pair of the opposite polarity residues, and in the last step phases are unwrapped by flood-fill algorithm. The performance of the proposed algorithm was tested on both simulated phase image and MRI wrapped phase data sets. The results demonstrated that, compared with conventionally used branch-cut phase unwrapping algorithms, the dPSO algorithm is rather robust and effective.

Resumo Limpo

new method base discret particl swarm optim dpso algorithm propos solv branchcut phase unwrap problem mri data method optim order match posit residu negat residu first identifi dpso algorithm branch cut place join pair opposit polar residu last step phase unwrap floodfil algorithm perform propos algorithm test simul phase imag mri wrap phase data set result demonstr compar convent use branchcut phase unwrap algorithm dpso algorithm rather robust effect

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