Keywords: Microstructure, Diffusion Modeling, Time-dependent diffusion
Motivation: While biophysical models typically represent tumor as packed impermeable spheres, it is nontrivial whether such picture is appropriate within the range of diffusion time available with clinical scanner.
Goal(s): We aimed to identify the power-law scaling that describes the time-dependent diffusion of brain tumors measured with a clinical scanner.
Approach: We measured the diffusion coefficient of seventy-six brain tumors at diffusion times between 35-300 ms using a stimulated-echo based sequence.
Results: The diffusion coefficient of meningiomas and metastatic tumors decreased with diffusion time slower than the prediction from the packed impermeable sphere model.
Impact: The tissue features dominating diffusion time dependence of tumors may vary depending on histology and may possibly deviate from the packed impermeable sphere model.
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