Keywords: Microstructure, Diffusion/other diffusion imaging techniques
Motivation: We address the challenge of characterizing complex diffusion spectra within biological tissues, with implications for early disease detection.
Goal(s): We aimed to employ OGSE sequences to probe water diffusion in phantom models, separating intra- and extracellular diffusion components.
Approach: Using OGSE sequences, we varied diffusion times and gradient values, effectively disentangling diffusion spectral densities and analyzing restricted diffusion patterns.
Results: We successfully separated intra- and extra-cellular diffusion spectral densities. The intra-cellular one provides the cell-sizes. In contrast, the extra-cellular spectral densities exhibited complexity, necessitating the development of models for interpretation. These insights hold promise for early disease diagnosis based on tissue-microstructure characterization.
Impact: Our study successfully separates intra- and extracellular diffusion spectral densities, enabling cell-size determination, advancing medical imaging. It fosters nuanced tissue microstructure characterization, opening new avenues for early disease diagnosis and innovative clinical applications.
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