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Abstract #3418

Microstructure size-distribution estimations with smooth and sharp non-uniform oscillating gradient spin-echo modulations

Melisa Lucía Giménez1,2, Pablo Jiménez1,2, Leandro Andrés Pedraza Pérez1,2, Diana Betancourth2, Analía Zwick2,3,4, and Gonzalo Agustín Álvarez1,2,3,4
1Departamento de Física Médica, Instituto Balseiro, Universidad Nacional de Cuyo, CNEA, San Carlos de Bariloche, Argentina, 2Centro Atómico Bariloche, CNEA, San Carlos de Bariloche, Argentina, 3Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina (CONICET), San Carlos de Bariloche, Argentina, 4Instituto de Nanociencia y Nanotecnología, CNEA,CONICET, San Carlos de Bariloche, Argentina

Morphological changes related to neurological diseases occur at micrometer scales. Obtaining such information non-invasively opens new paradigms for clinical diagnosis. We use the Non-uniform Oscillating Gradient Spin-Echo sequence to estimate microstructure size-distributions with high sensitivity based on probing a signal “decay-shift” rather than a signal decay-rate. The “decay-shift” arises with sharp gradient modulations. As fast ramps are prohibitive in clinical diagnosis, we evaluate the method using sharp and smooth gradient modulations. We show using simulations and proof-of-principle experiments with phantoms that mimic axon-bundles, that optimal estimation of the underlying microstructure-size distribution is obtained either using sharp or smooth modulations.

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