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Physics, Techniques and Review of Neuroradiological Applications of Diffusion Kurtosis Imaging (DKI).
Marrale, M; Collura, G; Brai, M; Toschi, N; Midiri, F; La Tona, G; Lo Casto, A; Gagliardo, C.
Afiliación
  • Marrale M; Department of Physics and Chemistry, University of Palermo, Palermo, Italy. maurizio.marrale@unipa.it.
  • Collura G; Department of Physics and Chemistry, University of Palermo, Palermo, Italy.
  • Brai M; Department of Physics and Chemistry, University of Palermo, Palermo, Italy.
  • Toschi N; Medical Physics Section, Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
  • Midiri F; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.
  • La Tona G; Harvard Medical School, Boston, MA, USA.
  • Lo Casto A; University of Palermo, Palermo, Italy.
  • Gagliardo C; Department of Biopathology and Medical Biotechnologies, Section of Radiological Sciences, University of Palermo, Palermo, Italy.
Clin Neuroradiol ; 26(4): 391-403, 2016 Dec.
Article en En | MEDLINE | ID: mdl-26589207
ABSTRACT
In recent years many papers about diagnostic applications of diffusion tensor imaging (DTI) have been published. This is because DTI allows to evaluate in vivo and in a non-invasive way the process of diffusion of water molecules in biological tissues. However, the simplified description of the diffusion process assumed in DTI does not permit to completely map the complex underlying cellular components and structures, which hinder and restrict the diffusion of water molecules. These limitations can be partially overcome by means of diffusion kurtosis imaging (DKI). The aim of this paper is the description of the theory of DKI, a new topic of growing interest in radiology. DKI is a higher order diffusion model that is a straightforward extension of the DTI model. Here, we analyze the physics underlying this method, we report our MRI acquisition protocol with the preprocessing pipeline used and the DKI parametric maps obtained on a 1.5 T scanner, and we review the most relevant clinical applications of this technique in various neurological diseases.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Encefalopatías / Interpretación de Imagen Asistida por Computador / Imagen de Difusión por Resonancia Magnética / Imagen de Difusión Tensora / Sustancia Blanca Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Clin Neuroradiol Asunto de la revista: NEUROLOGIA / RADIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Italia
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Encefalopatías / Interpretación de Imagen Asistida por Computador / Imagen de Difusión por Resonancia Magnética / Imagen de Difusión Tensora / Sustancia Blanca Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Clin Neuroradiol Asunto de la revista: NEUROLOGIA / RADIOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Italia