The invention discloses a precise
positioning system for efficient tumor interventional
ablation. The precise
positioning system comprises the following steps: step 1, a CT
image processing module; step 2, weak attribute pixel point
processing; 3, a
machine learning module; 4, a
tumor ablation navigation module; and step 5, a
visualization module. More comprehensive tumor information is provided by fusing CT, MRI and PET images, the advantages of each
modal image are combined, the recognition of a tumor area is more accurate and comprehensive, the fused image is automatically segmented by using a U-Net
deep learning model, the accurate boundary of a tumor can be effectively recognized, the
deep learning model has strong image recognition capability, and the recognition efficiency of the tumor area is improved. The tumor segmentation precision can be greatly improved, a multi-probe strategy is introduced, the positions and
insertion paths of a plurality of
thermal ablation needles are planned, through the synergistic effect of the plurality of probes, it is ensured that the
ablation range covers the whole tumor area, the
ablation coverage range is widened, the problem of incomplete ablation can be effectively avoided, and the postoperative
recurrence risk is reduced.