WAGNER MALAGO TAVARES

(Fonte: Lattes)
Índice h a partir de 2011
6
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/62 - Laboratório de Fisiopatologia Cirúrgica, Hospital das Clínicas, Faculdade de Medicina

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  • article 0 Citação(ões) na Scopus
    Distortion Correction Protocol for 3T Stereotactic Magnetic Resonance Imaging: A Clinical Study
    (2019) TAVARES, Wagner Malago; TUSTUMI, Francisco; LEITE, Claudia da Costa; GAMARRA, Lionel Fernel; AMARO JUNIOR, Edson; TEXEIRA, Manoel Jacobsen; FRANCA, Sabrina Araujo de; FONOFF, Erich Talamoni
    BACKGROUND: With application of 3T magnetic resonance imaging (MRI) to functional neurosurgery procedures and given the inherent requirement of millimetric precision, the need to develop a method for correction of geometric image distortion emerged. The aim of this study was to demonstrate clinical safety and practical viability of a correction protocol in patients scheduled to undergo stereotactic procedures using 3T MRI. METHODS: This prospective study comprised 20 patients scheduled to undergo computed tomography (CT) stereotactic functional procedures or encephalic brain lesion biopsies. The CT images were references for MRI geometric accuracy calculations. For each scan, 2 images were obtained: normal and reversed images. Eight distinct points on CT and MRI were selected summing 152 points that were based on a power analysis calculation value >0.999. One patient was excluded because of the inability to find reliable common landmark points on CT and MRI. RESULTS: The distortion range was 0-5.6 mm and increased proportionally with stereotactic isocenter distance, meaning the distortion was greater in the periphery. After correction, the minimum and maximum distortion found was 0 mm and 3.5 mm, respectively. There was no significant difference between CT and MRI corrected x-coordinates (P > 0.05). CONCLUSIONS: The proposed method can satisfactorily correct geometric distortions in clinical 3T MRI studies. Clinical use of the technique can be practical and efficient after software automation of the process. The method can be applied to all spin-echo MRI sequences.