Your browser doesn't support javascript.
loading
Quantification of pulmonary microcirculation by dynamic contrast-enhanced magnetic resonance imaging: comparison of four regularization methods.
Salehi Ravesh, M; Brix, G; Laun, F B; Kuder, T A; Puderbach, M; Ley-Zaporozhan, J; Ley, S; Fieselmann, A; Herrmann, M F; Schranz, W; Semmler, W; Risse, F.
Afiliación
  • Salehi Ravesh M; Department of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany. m.salehiravesh@dkfz-heidelberg.de
Magn Reson Med ; 69(1): 188-99, 2013 Jan.
Article en En | MEDLINE | ID: mdl-22383403
Tissue microcirculation can be quantified by a deconvolution analysis of concentration-time curves measured by dynamic contrast-enhanced magnetic resonance imaging. However, deconvolution is an ill-posed problem, which requires regularization of the solutions. In this work, four algebraic deconvolution/regularization methods were evaluated: truncated singular value decomposition and generalized Tikhonov regularization (GTR) in combination with the L-curve criterion, a modified LCC (GTR-MLCC), and a response function model that takes a-priori knowledge into account. To this end, dynamic contrast-enhanced magnetic resonance imaging data sets were simulated by an established physiologically reference model for different signal-to-noise ratios and measured on a 1.5-T system in the lung of 10 healthy volunteers and 20 patients. Analysis of both the simulated and measured dynamic contrast-enhanced magnetic resonance imaging datasets revealed that GTR in combination with the L-curve criterion does not yield reliable and clinically useful results. The three other deconvolution/regularization algorithms resulted in almost identical microcirculatory parameter estimates for signal-to-noise ratios > 10. At low signal-to-noise ratios levels (<10) typically occurring in pathological lung regions, GTR in combination with a modified L-curve criterion approximates the true response function much more accurately than truncated singular value decomposition and GTR in combination with response function model with a difference in accuracy of up to 76%. In conclusion, GTR in combination with a modified L-curve criterion is recommended for the deconvolution of dynamic contrast-enhanced magnetic resonance imaging curves measured in the lung parenchyma of patients with highly heterogeneous signal-to-noise ratios.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Medios de Contraste / Pulmón / Microcirculación Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2013 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Medios de Contraste / Pulmón / Microcirculación Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2013 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos