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Int J Med Robot ; 16(2): e2060, 2020 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-31760679

RESUMO

BACKGROUND: Preoperative assessment to find the safest trajectory in keyhole neurosurgery can reduce post operative complications. METHODS: We introduced a novel preoperative risk assessment semiautomated methodology based on the sum of N maximum risk values using a generic genetic algorithm for the safest trajectory search. RESULTS: A set of candidates trajectories were found for two surgical procedures. The trajectories search is done using a risk map considering the proximity of voxels within risk structures in multiple points and a genetic algorithm to avoid an exhaustive search. The trajectories were validated by a group of neurosurgeons. CONCLUSIONS: The trajectories obtained with the proposal method were shorter in 5% and have greater distance from the voxels within the blood vessels in 4.7%. The use of genetic algorithm (GA) speeds up the search for the safest trajectory, decreasing in 99.9% the time required for an exhaustive search.


Assuntos
Procedimentos Neurocirúrgicos/métodos , Medição de Risco/métodos , Procedimentos Cirúrgicos Robóticos/métodos , Algoritmos , Encéfalo/diagnóstico por imagem , Humanos , Imageamento Tridimensional , Imageamento por Ressonância Magnética , Reconhecimento Automatizado de Padrão , Complicações Pós-Operatórias , Software , Cirurgia Assistida por Computador/métodos
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