The　transmission　of　medical　image　data　in　an　open　network　environment　is　subject　to　privacy　issues　including　patient　privacy　and　data　leakage.　In　the　past,　image　encryption　and　information-hiding　technology　have　been　used　to　solve　such　security　problems.　But　these　methodologies,　in　general,　suffered　from　difficulties　in　retrieving　original　images.　We　present　in　this　paper　an　algorithm　to　protect　key　regions　in　medical　images.　First,　coefficient　of　variation　is　used　to　locate　the　key　regions,　a.k.a.　the　lesion　areas,　of　an　image;　other　areas　are　then　processed　in　blocks　and　analyzed　for　texture　complexity.　Next,　our　reversible　datahiding　algorithm　is　used　to　embed　the　contents　from　the　lesion　areas　into　a　high-texture　area,　and　the　Arnold　transformation　is　performed　to　protect　the　original　lesion　information.　In　addition　to　this,　we　use　the　ciphertext　of　the　basic　information　about　the　image　and　the　decryption　parameter　to　generate　the　Quick　Response　(QR)　Code　to　replace　the　original　key　regions.　Consequently,　only　authorized　customers　can　obtain　the　encryption　key　to　extract　information　from　encrypted　images.　Experimental　results　show　that　our　algorithm　can　not　only　restore　the　original　image　without　information　loss,　but　also　safely　transfer　the　medical　image　copyright　and　patient-sensitive　information.