In　order　to　improve　the　detection　effect　of　omni-directional　M-mode　echocardiography　motion　curve,　the　detection　algorithm　based　on　Contourlet　transform　is　proposed　according　to　the　idea　of　multi-scale　analysis.　Firstly　it　uses　the　local　entropy-based　algorithm　to　divide　the　image　into　images　at　different　scales.　Secondly　the　edges　of　the　images　are　extracted　in　the　space　of　a　single　scale　with　the　help　of　the　wavelet　transform　modulus　maxima　method.　Finally　it　integrates　the　edge　curves　under　different　scale　spaces　with　a　compensation　link　method　to　get　the　best　motion　edges.　Experimental　results　show　that　the　algorithm　can　continuously　approximate　echocardiography　motion　curves　from　coarse　to　fine　resolutions　and　obtain　good　results.