The　optical　flow　field-based　active　demons　algorithm　is　a　major　technique　for　nonrigid　image　registration.　Current　active　demons　algorithms　for　large　deformation　problems　are　suffered　with　low　registration　precision　due　to　using　gradient　information　of　the　reference　image　and　moving　image　only.　To　avoid　the　disadvantage　of　the　active　demons　algorithms,　this　paper　first　presents　the　length　and　area　of　connected　region　as　driving　forces　into　the　active　demons　diffusion　equation　and　then　proposes　a　new　deformable　image　registration　algorithm　by　combining　the　gradient　information-based　driving　forces　and　connected　region-based　driving　forces.　Furthermore,　a　multiresolution　technique　is　introduced　for　robust　performance　against　noise.　Experimental　results　show　that　the　proposed　deformable　image　registration　algorithm　has　better　performance　than　several　conventional　active　demons　algorithms.　©　2017　IEEE.