A　complete　3D　visualization　method　for　virtual　liver　lesion　model　was　proposed　by　taking　patients’　abdomen　CT　slices　as　data　source.　Firstly,　Gradient　Vector　Flow-Snake　algorithm　that　combines　with　region　force　was　adopted　to　fast　and　accurately　extract　the　contour　points　in　patients’　CT　slices.　Then　3D　cloud　data　of　these　contour　points　was　simplified　uniformly,　and　a　distance-field-based　method　of　distribution　field　fitting　for　B-spline　surface　was　presented　to　fast　establish　the　lesion　model　roughly.　Then,　an　interactive　node　fine　tuning　method　Interactive　Marching　Nodes　was　proposed,　so　the　model　can　be　optimized　according　to　requirements　of　users.　Finally,　realistic　lesion　model　was　generated　through　texture　mapping.　Experiments　suggest　that　this　approach　is　suitable　for　various　kinds　of　lesions　with　the　whole　process　taking　only　a　few　minutes,　and　the　generated　model　has　high　precision,　which　is　of　some　significance　in　the　study　of　virtual　surgeries.　©　2017,　Taiwanese　Society　of　Biomedical　Engineering.