Lower limb deep venous thrombosis thrombolysis curative effect prediction method and system based on sparse representation

Abstract

The invention discloses a lower limb deep venous thrombosis thrombolysis curative effect prediction method and system based on sparse representation. The method comprises the steps: acquiring a regionof interest of lower limb deep venous thrombosis from a magnetic resonance imaging image; performing image omics feature extraction on the region of interest of the lower limb deep vein thrombosis toobtain global image omics features and sparse representation image omics features; screening out image omics features with significant differences from the global image omics features and the sparserepresentation image omics features by adopting a significance test method; and predicting the thrombolysis curative effect of the deep venous thrombosis of the lower limb by adopting a support vectormachine method according to the imaging omics characteristics with significant difference. According to the method, the thrombolysis curative effect is predicted by combining the global image omics characteristics extracted by a traditional image omics method and the sparse representation image omics characteristics extracted by a sparse representation image omics method, more effective characteristics can be covered, redundant characteristics are reduced by a significance test method, and the method can be widely applied to the field of medical image processing.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method and system for predicting the curative effect of deep vein thrombosis of lower extremities based on sparse representation. Background technique [0002] Deep vein thrombosis (Deep Vein Thrombosis, DVT) refers to the abnormal coagulation of blood in deep veins that causes thrombus formation, usually occurs in the lower extremities. As a common peripheral vascular disease, the annual incidence of DVT is about 1‰, and it is increasing year by year. It is the third major cardiovascular disease (Cardiovascular Disease, CVD) after cerebrovascular and coronary artery disease. DVT often leads to pulmonary embolism (Pulmonary Embolism, PE) and postthrombotic syndrome (Postthrombotic Syndrome, PTS), which will significantly affect the quality of life of patients and even lead to death in severe cases. PE occurs in 50% to 60% of untreated DVT patients, with an associated mo...

AI Technical Summary

Problems solved by technology

However, this method only uses high-throughput quantitative features to match the needs of clinical tasks. As a global feature, the extracted quantitative features are easily limited by the operator's prior knowledge and may not cover all effective features. There are a lot of redundant features

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