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Can T2-spectroscopy resolve submicrometer axon diameters?
Inf Process Med Imaging ; 23: 607-18, 2013.
Article en En | MEDLINE | ID: mdl-24684003
ABSTRACT
The microscopic geometry of white matter carries rich information about brain function in health and disease. A key challenge for medical imaging is to estimate microstructural features noninvasively. One important parameter is the axon diameter, which correlates with the conduction time delay of action potentials and is affected by various neurological disorders. Diffusion magnetic resonance (MR) experiments are the method of choice today when we aim to recover the axon diameter distribution, although the technique requires very high gradient strengths in order to assess nerve fibers with one micrometer or less in diameter. In practice in-vivo brain imaging is only sensitive to the largest axons, not least due to limitations in the human physiology which tolerates only moderate gradient strengths. This work studies, from a theoretical perspective, the feasibility of T2-spectroscopy to resolve submicrometer tissue structures. Exploiting the surface relaxation effect, we formulate a plausible biophysical model relating the axon diameter distribution to the T2-weighted signal, which is based on a surface-to-volume ratio approximation of the Bloch-Torrey equation. Under a certain regime of bulk and surface relaxation coefficients, our simulation results suggest that it might be possible to reveal axons smaller than one micrometer in diameter.
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Axones / Algoritmos / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Espectroscopía de Resonancia Magnética / Imagen de Difusión Tensora / Modelos Neurológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Inf Process Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Axones / Algoritmos / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Espectroscopía de Resonancia Magnética / Imagen de Difusión Tensora / Modelos Neurológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Inf Process Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article