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High-resolution, three-dimensional diffusion-weighted breast imaging using DESS.
Granlund, Kristin L; Staroswiecki, Ernesto; Alley, Marcus T; Daniel, Bruce L; Hargreaves, Brian A.
Afiliación
  • Granlund KL; Radiology, Stanford University, Stanford, CA 94305; Electrical Engineering, Stanford University, Stanford, CA 94305. Electronic address: granlund@stanford.edu.
  • Staroswiecki E; Radiology, Stanford University, Stanford, CA 94305; Electrical Engineering, Stanford University, Stanford, CA 94305.
  • Alley MT; Radiology, Stanford University, Stanford, CA 94305.
  • Daniel BL; Radiology, Stanford University, Stanford, CA 94305.
  • Hargreaves BA; Radiology, Stanford University, Stanford, CA 94305.
Magn Reson Imaging ; 32(4): 330-41, 2014 May.
Article en En | MEDLINE | ID: mdl-24512800
PURPOSE: To evaluate the use of the double-echo steady-state (DESS) sequence for acquiring high-resolution breast images with diffusion and T2 weighting. MATERIALS AND METHODS: Phantom scans were used to verify the T2 and diffusion weighting of the DESS sequence. Image distortion was evaluated in volunteers by comparing DESS images and conventional diffusion-weighted images (DWI) to spoiled gradient-echo images. The DESS sequence was added to a standard clinical protocol, and the resulting patient images were used to evaluate overall image quality and image contrast in lesions. RESULTS: The diffusion weighting of the DESS sequence can be easily modulated by changing the spoiler gradient area and flip angle. Radiologists rated DESS images as having higher resolution and less distortion than conventional DWI. Lesion-to-tissue contrast ratios are strongly correlated between DWI and DESS images (R=0.83) and between T2-weighted fast spin-echo and DESS images (R=0.80). CONCLUSION: The DESS sequence is able to acquire high-resolution 3D diffusion- and T2-weighted images in short scan times, with image quality that facilitates morphological assessment of lesions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Mama / Neoplasias de la Mama / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Imagenología Tridimensional / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Diagnostic_studies / Guideline Límite: Female / Humans Idioma: En Revista: Magn Reson Imaging Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Mama / Neoplasias de la Mama / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Imagenología Tridimensional / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Diagnostic_studies / Guideline Límite: Female / Humans Idioma: En Revista: Magn Reson Imaging Año: 2014 Tipo del documento: Article
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