Displacement prediction method, device and system for internal tissue of liver and electronic equipment

Abstract

The invention discloses a displacement prediction method, device and system for internal tissues of a liver, electronic equipment and a computer readable storage medium, which are used for realizing displacement prediction of the internal tissues (such as tumors and blood vessels) of the liver under respiratory movement. The method comprises the steps that a first to-be-processed image is obtained, the first to-be-processed image is an image collected for an abdominal area of a target object when the target object is in breathing movement, a body surface marker is arranged in the abdominal area, and the body surface marker and the liver surface are in the same breathing state; obtaining first position information of the body surface marker according to the first to-be-processed image; obtaining a predicted liver surface according to the first position information; obtaining a voxelized input grid based on a liver surface and liver volume prediction model; inputting the voxelized input grid into a convolutional neural network to obtain a liver displacement field; according to the liver displacement field, displacement of interested tissues in the liver is obtained, and the interested tissues comprise tumors and / or target tissues.

Description

technical field [0001] The present application belongs to the technical field of medical image processing, and in particular relates to a displacement prediction method, device, system, electronic equipment and computer-readable storage medium of liver internal tissue. Background technique [0002] At present, radiofrequency ablation (RFA) is widely used in the treatment of liver cancer. Traditional RFA puncture surgery inserts a needle into the target tumor under the guidance of ultrasound and computer tomography (CT) to ablate the target tumor. tumor. [0003] In RFA puncture surgery, it is necessary to accurately locate the position of the tumor under respiratory motion. In the prior art, the displacement of the internal tumor can be predicted according to the surface markers, so as to determine the real-time position of the tumor under respiratory motion. [0004] However, the prior art only considers the correlation between surface markers and tumors, and cannot deter...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method, device, system, electronic device, and computer-readable storage medium for predicting the displacement of internal liver tissues, which can solve the problem of only considering the relationship between body surface markers and tumors in the prior art and ignoring the surrounding important factors. Displacement of tissues (such as blood vessels), which can cause damage to surrounding vital tissues during puncture

Images