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crostructure, and strength was shown for the first time. © 2021 American Society for Bone and Mineral Research (ASBMR). The decomposition of multi-exponential decay data into a T spectrum poses substantial challenges for conventional fitting algorithms, including non-negative least squares (NNLS). Based on a combination of the resolution limit constraint and machine learning neural network algorithm, a data-driven and highly tailorable analysis method named spectrum analysis for multiple exponentials via experimental condition oriented