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Models and methods for analyzing DCE-MRI: a review.
Khalifa, Fahmi; Soliman, Ahmed; El-Baz, Ayman; Abou El-Ghar, Mohamed; El-Diasty, Tarek; Gimel'farb, Georgy; Ouseph, Rosemary; Dwyer, Amy C.
Afiliación
  • Khalifa F; BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, Kentucky 40292 and Electronics and Communication Engineering Department, Mansoura University, Mansoura 35516, Egypt.
  • Soliman A; BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, Kentucky 40292.
  • El-Baz A; BioImaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, Kentucky 40292.
  • Abou El-Ghar M; Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt.
  • El-Diasty T; Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt.
  • Gimel'farb G; Department of Computer Science, University of Auckland, Auckland 1142, New Zealand.
  • Ouseph R; Kidney Transplantation-Kidney Disease Center, University of Louisville, Louisville, Kentucky 40202.
  • Dwyer AC; Kidney Transplantation-Kidney Disease Center, University of Louisville, Louisville, Kentucky 40202.
Med Phys ; 41(12): 124301, 2014 Dec.
Article en En | MEDLINE | ID: mdl-25471985
PURPOSE: To present a review of most commonly used techniques to analyze dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), discusses their strengths and weaknesses, and outlines recent clinical applications of findings from these approaches. METHODS: DCE-MRI allows for noninvasive quantitative analysis of contrast agent (CA) transient in soft tissues. Thus, it is an important and well-established tool to reveal microvasculature and perfusion in various clinical applications. In the last three decades, a host of nonparametric and parametric models and methods have been developed in order to quantify the CA's perfusion into tissue and estimate perfusion-related parameters (indexes) from signal- or concentration-time curves. These indexes are widely used in various clinical applications for the detection, characterization, and therapy monitoring of different diseases. RESULTS: Promising theoretical findings and experimental results for the reviewed models and techniques in a variety of clinical applications suggest that DCE-MRI is a clinically relevant imaging modality, which can be used for early diagnosis of different diseases, such as breast and prostate cancer, renal rejection, and liver tumors. CONCLUSIONS: Both nonparametric and parametric approaches for DCE-MRI analysis possess the ability to quantify tissue perfusion.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Asunto principal: Imagen por Resonancia Magnética / Diagnóstico por Computador Tipo de estudio: Diagnostic_studies / Literature_review / Screening_studies Límite: Female / Humans / Male Idioma: En Revista: Med phys Año: 2014 Tipo del documento: Article País de afiliación: Egipto

Texto completo: 1 Colección: 01-internacional Asunto principal: Imagen por Resonancia Magnética / Diagnóstico por Computador Tipo de estudio: Diagnostic_studies / Literature_review / Screening_studies Límite: Female / Humans / Male Idioma: En Revista: Med phys Año: 2014 Tipo del documento: Article País de afiliación: Egipto