Objective:　Aiming　at　the　shortcomings　of　artificial　surgical　path　planning　for　the　thermal　ablation　of　liver　tumors,　such　as　the　time-consuming　and　labor-consuming　process,　and　relying　heavily　on　doctors＇　puncture　experience,　an　automatic　path-planning　system　for　thermal　ablation　of　liver　tumors　based　on　CT　images　is　designed　and　implemented.　Methods:　The　system　mainly　includes　three　modules:　image　segmentation　and　three-dimensional　reconstruction,　automatic　surgical　path　planning,　and　image　information　management.　Through　organ　segmentation　and　three-　dimensional　reconstruction　based　on　CT　images,　the　personalized　abdominal　spatial　anatomical　structure　of　patients　is　obtained,　which　is　convenient　for　surgical　path　planning.　The　weighted　summation　method　based　on　clinical　constraints　and　the　concept　of　Pareto　optimality　are　used　to　solve　the　multi-objective　optimization　problem,　screen　the　optimal　needle　entry　path,　and　realize　the　automatic　planning　of　the　thermal　ablation　path.　The　image　information　database　was　established　to　store　the　information　related　to　the　surgical　path.　Results:　In　the　discussion　with　clinicians,　more　than　78%　of　the　paths　generated　by　the　planning　system　were　considered　to　be　effective,　and　the　efficiency　of　system　path　planning　is　higher　than　doctors＇　planning　efficiency.　Conclusion:　After　improvement,　the　system　can　be　used　for　the　planning　of　the　thermal　ablation　path　of　a　liver　tumor　and　has　certain　clinical　application　value.