Surgical puncture path intelligent automatic planning method and system and medical system

Abstract

The invention provides a surgical puncture path intelligent automatic planning method and system based on machine learning and a medical system. The surgical puncture path intelligent automatic planning method and system based on machine learning and the medical system can rapidly determine a surgical puncture path and a needle inserting point position and can allow a brain stereotaxic apparatus or a medical mechanical arm to achieve automatic puncture surgery operation. The planning method comprises the following steps that (1) sample image data of an existing case are acquired, and trainingdata and test data are made; (2) a three-dimensional segmentation deep neural network model is designed, and the three-dimensional segmentation deep neural network model is trained; (3) the sample image data of a patient are segmented and identified by using the trained three-dimensional segmentation deep neural network model; (4) a three-dimensional model is constructed based on a segmentation identification result and the sample image data; (5) a safe needle insertion constraint area is determined based on the target point position and medical prior information; and (6), in the safe needle insertion constraint area, a three-dimensional space trajectory planning algorithm is utilized to complete surgical puncture path planning.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and medical automation, and relates to a machine learning-based intelligent automatic planning method for surgical puncture paths, an intelligent automatic planning system for surgical puncture paths, and a medical system including the intelligent automatic planning system for surgical puncture paths. 3D automatic positioning and navigation platform for medical surgery puncture robot or non-invasive surgery. Background technique [0002] In surgical puncture operations (puncture biopsy, directional hematoma aspiration, directional implantation, etc.), doctors need to repeatedly check computed tomography (CT) images or magnetic resonance imaging (MRI) images on surgical navigation software when planning puncture paths. Surgical planning is accomplished by continuously adjusting the puncture needle trajectory in cross-sectional, sagittal, coronal views of the patient's head or abdomi...

AI Technical Summary

Problems solved by technology

However, this planning method still belongs to the image feature recognition method in the traditional field. It does not have artificial intelligence factors, and the recognition accuracy and operation intelligence are limited.

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