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Clinical image quality assessment of accelerated magnetic resonance neuroimaging using compressed sensing.
Sharma, Samir D; Fong, Caroline L; Tzung, Brian S; Law, Meng; Nayak, Krishna S.
Afiliación
  • Sharma SD; Department of Radiology, University of Wisconsin, Madison, WI 53705, USA. sdsharma2@wisc.edu
Invest Radiol ; 48(9): 638-45, 2013 Sep.
Article en En | MEDLINE | ID: mdl-23538890
PURPOSE: The aim of this study was to determine to what degree current compressed sensing methods are capable of accelerating clinical magnetic resonance neuroimaging sequences. METHODS: Two 2-dimensional clinical sequences were chosen for this study because of their long scan times. A pilot study was used to establish the sampling scheme and regularization parameter needed in compressed sensing reconstruction. These findings were used in a subsequent blinded study in which images reconstructed using compressed sensing were evaluated by 2 board-certified neuroradiologists. Image quality was evaluated at up to 10 anatomical features. RESULTS: The findings indicate that compressed sensing may provide 2-fold acceleration of certain clinical magnetic resonance neuroimaging sequences. A global ringing artifact and image blurring were identified as the 2 primary artifacts that would hinder the ability to confidently discern abnormality. CONCLUSION: Compressed sensing is able to moderately accelerate certain neuroimaging sequences without severe loss of clinically relevant information. For those sequences with coarser spatial resolution and/or at a higher acceleration factor, artifacts degrade the quality of the reconstructed image to a point where they are of little to no clinical value.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / Encéfalo / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Compresión de Datos / Epilepsia Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Invest Radiol Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / Encéfalo / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Compresión de Datos / Epilepsia Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Invest Radiol Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos