Marker recognition and mark point positioning method and surgical navigation system

Abstract

The invention belongs to the technical field of medical image processing, and particularly relates to a marker recognition and mark point positioning method and a surgical navigation system. The marker recognition and mark point positioning method comprises the following steps of reading a CT image, performing preliminary cutting on a suspected marker, obtaining a final suspected marker, performing marker recognition based on sequence characteristics, judging whether the final suspected marker is a correct marker or not, performing projection on the correct marker, calculating the normal vector and thickness of the correct marker according to the projected image, and therefore positioning a marker point. The invention further provides a surgical navigation system adopting the marker recognition and mark point positioning method. The marker recognition and mark point positioning method is independent of factory manufacturing parameters of the marker, is little affected by the stuck position and conditions of the marker, and has the good accuracy and robustness.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to a marker recognition and marker point positioning method and a surgical navigation system. Background technique [0002] Lung cancer is one of the diseases with the highest mortality rate in the world, and biopsy is the gold standard for lung tumor characterization. Routine lung biopsy requires lung puncture under the guidance of CT to remove biopsy tissue for pathological examination. Lung biopsy surgery needs to rely on the experience of doctors for clinical operations, and CT cannot be used for real-time imaging during the operation. Therefore, in order to successfully obtain living tissue, it is necessary to puncture the patient multiple times and perform multiple CT scans for confirmation. Lung puncture surgery navigation system can avoid this problem. The surgical navigation system performs path planning based on the patient's preoperative CT ...

AI Technical Summary

Problems solved by technology

But this method is semi-automatic and must be implemented with human intervention

Therefore, there are some defects in the methods of marker recognition and marker point location in chest CT images that have been developed at present.

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