BACKGROUND　AND　PURPOSESmall　animal　neuroimaging　using　magnetic　resonance　microscopy　(MRM)　has　evolved　significantly　from　understanding　of　imaging　physics　to　widely　use　today　as　an　important　tool　in　computational　neuroanatomy,　while　how　to　get　optimal　inhomogeneity　correction　for　inhomogeneous　mouse　brain　MRM　has　been　given　less　attention.　METHODSThis　present　study　investigates　the　ability　of　fine-tuning　the　nonparametric　nonuniform　intensity　normalization　(N3)　technique　to　get　optimal　inhomogeneity　correction　of　mouse　brain　MRM.　Six　mice　were　scanned　on　a　7-T　scanner　with　a　phased　array　surface　coil　of　four　elements.　The　N3　parameters　such　as　stopping　criteria,　maximum　iterations,　down-sampling　ratio,　full　width　at　half　maximum,　spline　distance,　and　brain　mask　have　been　tuned　to　get　optimal　correction　result.　We　used　coefficient　of　variation　of　the　white　matter　and　joint　variation　to　ascertain　quantitatively　the　correction.　The　data　were　analyzed　by　two-way　repeated　measures　analysis　of　variance　and　Bonferroni　post　hoc　test.　RESULTSThe　quantitative　outcomes　show　that　brain　mask　and　spline　distance　have　a　significant　influence　on　correcting　performance.　CONCLUSIONSThe　present　study　demonstrates　the　benefit　of　reducing　the　spline　distance　values　to　25　and　tighter　mask.　The　finding　can　help　researches　to　enhance　precision　in　studies　where　mouse　MRM　need　further　registration　or　segmentation.