We have investigated the clinical feasibility of applying MRI to predict the fat survival rate of autologous fat transplantation on faces 7 days after surgery. High resolution T1W and T2W fat-only images, T2 mapping, IVIM diffusion, and spectroscopy methods were implemented. The morphological images provided extradentary value in visualizing transplanted fat in vivo, the biomarker T2 mapping identified edema, IVIM measured perfusion and localized rebuilding vascularization, and MRS quantified lactate content for predicting post-op fat survival rate. The non-contrast MRI technologies proved values in imaging for autologous fat transplantation surgery.
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