This　paper　is　to　provide　a　basis　for　the　establishment　of　an　early　diagnostic　system　for　hypoxic-ischemic　encephalopathy　(HIE)　by　performing　segmentation　and　feature　extraction　of　lesions　on　the　MR　images　of　neonatal　babies　with　HIE.　The　segmentation　on　MR　images　of　HIE　based　on　the　genetic　algorithm　(GA)　combined　with　a　pulse-coupled　neural　network　(PCNN)　were　carried　out.　There　were　better　segmentation　results　by　using　PCNN　segmentation　based　on　GA　than　PCNN　segmentation　with　fixed　parameters.　The　data　suggested　that　a　PCNN　based　on　GA　could　provide　effective　assistance　for　diagnosis　and　research.