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Comparison of Improved Unidirectional Dual Velocity-Encoding MRI Methods.
Franco, Pamela; Ma, Liliana; Schnell, Susanne; Carrillo, Hugo; Montalba, Cristian; Markl, Michael; Bertoglio, Cristóbal; Uribe, Sergio.
Afiliação
  • Franco P; Biomedical Imaging Center, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Ma L; Electrical Engineering Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Schnell S; Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile.
  • Carrillo H; Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile.
  • Montalba C; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
  • Markl M; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA.
  • Bertoglio C; Institut für Physik, Universität Greifswald, Greifswald, Germany.
  • Uribe S; Center for Mathematical Modeling, Universidad de Chile, Santiago, Chile.
J Magn Reson Imaging ; 57(3): 763-773, 2023 03.
Article em En | MEDLINE | ID: mdl-35716109
BACKGROUND: In phase-contrast (PC) MRI, several dual velocity encoding methods have been proposed to robustly increase velocity-to-noise ratio (VNR), including a standard dual-VENC (SDV), an optimal dual-VENC (ODV), and bi- and triconditional methods. PURPOSE: To develop a correction method for the ODV approach and to perform a comparison between methods. STUDY TYPE: Case-control study. POPULATION: Twenty-six volunteers. FIELD STRENGTH/SEQUENCE: 1.5 T phase-contrast MRI with VENCs of 50, 75, and 150 cm/second. ASSESSMENT: Since we acquired single-VENC protocols, we used the background phase from high-VENC (VENCH ) to reconstruct the low-VENC (VENCL ) phase. We implemented and compared the unwrapping methods for different noise levels and also developed a correction of the ODV method. STATISTICAL TESTS: Shapiro-Wilk's normality test, two-way analysis of variance with homogeneity of variances was performed using Levene's test, and the significance level was adjusted by Tukey's multiple post hoc analysis with Bonferroni (P < 0.05). RESULTS: Statistical analysis revealed no extreme outliers, normally distributed residuals, and homogeneous variances. We found statistically significant interaction between noise levels and the unwrapping methods. This implies that the number of non-unwrapped pixels increased with the noise level. We found that for ß = VENCL /VENCH  = 1/2, unwrapping methods were more robust to noise. The post hoc test showed a significant difference between the ODV corrected and the other methods, offering the best results regarding the number of unwrapped pixels. DATA CONCLUSIONS: All methods performed similarly without noise, but the ODV corrected method was more robust to noise at the price of a higher computational time. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 1.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Chile País de publicação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Chile País de publicação: Estados Unidos