In　this　paper,　we　proposed　ultrasound　homodyned　K　(HK)　imaging　based　on　the　noise-assisted　correlation　algorithm　(NCA)　for　monitoring　microwave　ablation　of　porcine　liver　ex　vivo.　The　NCA-based　HK　(alpha(NCA)　and　k(NCA))　imaging　was　compared　with　NCA-based　Nakagami　(mNCA)　imaging　and　NCA-based　cumulative　echo　decorrelation　(CEDNCA)　imaging.　Backscattered　ultrasound　radiofrequency　signals　of　porcine　liver　ex　vivo　during　and　after　the　heating　of　microwave　ablation　were　collected　(n　=　15),　which　were　processed　for　constructing　B-mode　imaging,　NCA-based　HK　imaging,　NCA-based　Nakagami　imaging,　and　NCA-based　CED　imaging.　To　quantitatively　evaluate　the　final　coagulation　zone,　the　polynomial　approximation　(PAX)　technique　was　applied.　The　accuracy　of　detecting　coagulation　area　with　alpha(NCA),　k(NCA),　m(NCA),　and　CEDNCA　parametric　imaging　was　evaluated　by　comparing　the　PAX　imaging　with　the　gross　pathology.　The　receiver　operating　characteristic　(ROC)　curve　was　used　to　further　evaluate　the　performance　of　the　three　quantitative　ultrasound　imaging　methods　for　detecting　the　coagulation　zone.　Experimental　results　showed　that　the　average　accuracies　of　alpha(NCA),　k(NCA),　m(NCA),　and　CEDNCA　parametric　imaging　combined　with　PAX　imaging　were　89.6%,　83.25%,　89.23%,　and　91.6%,　respectively.　The　average　areas　under　the　ROC　curve　(AUROCs)　of　alpha(NCA),　k(NCA),　m(NCA),　and　CEDNCA　parametric　imaging　were　0.83,　0.77,　0.83,　and　0.86,　respectively.　The　proposed　NCA-based　HK　imaging　may　be　used　as　a　new　method　for　monitoring　microwave　ablation.