Objective　To　establish　and　validate　a　biomechanical　modeling　method　based　on　micro-magnetic　resonance　imaging　(μMRI)　and　microstructure　segmentation　for　noninvasively　assessing　microstructure　behavior　of　the　proximal　femur.　Methods　Firstly,　μMRI　images　were　obtained　from　the　femoral　samples,　and　bone　microstructures　were　segmented　through　regionized　image　processing　to　create　the　μMRI　finite　element　model　(μMRI　model)　.　Finite　element　analysis　was　performed　utilizing　a　lateral　fall　posture　simulation,　and　stress　and　strain　were　calculated.　Secondly,　the　accuracy　of　μMRI　image　segmentation　of　bone　microstructure　was　verified　using　micro-computed　tomography　(μCT),　and　the　accuracy　of　μMRI　model　calculation　result　was　verified　using　a　finite　element　model　constructed　based　on　μCT　(μCT　model)　.　Finally,　the　accuracy　of　bone　surface　strain　calculated　by　μMRI　model　was　verified　through　in　vitro　mechanical　loading　experiments　simulating　lateral　falls　and　strain　gauge　measurements.　Results　The　bone　microstructure　parameters　BV　/　TV　calculated　by　μMRI　model　and　μCT　model　were　significantly　correlated　(r　=　0.　89,　P　＜　0.　05)　.　The　maximum　and　minimum　principal　stress　/　principal　strain　percentiles　calculated　by　μMRI　model　and　μCT　model　were　highly　correlated　(R2　＞　0.　9)　.　The　strain　calculated　by　μMRI-FEM　was　highly　correlated　with　the　strain　measured　by　mechanical　experiments　(R2　=　0.　82)　.　Conclusions　The　micro　finite　element　model　based　on　μMRI　segmentation　of　bone　microstructure　can　accurately　characterize　the　micro-mechanical　behavior　of　the　proximal　femur.　This　study　provides　an　important　tool　for　noninvasive　assessment　of　hip　femur　microstructure　degeneration　and　osteoporosis　fracture　risk　in　vivo.　©　2024　Editorial　Department　of　Journal　of　Shanghai　Second　Medical　University.　All　rights　reserved.