Adaptive target area conversion method combining image segmentation and deformation registration technology

Abstract

The invention discloses an adaptive target area conversion method combining image segmentation and a deformation registration technology. According to the method, a threatening organ and a thoracic and abdominal tumor area are segmented automatically; multi-modal registration is performed on CBCT (Cone Beam Computed Tomography) images and planed CT (Computed Tomography) images by adopting a deformation registration algorithm; information on the planned CT is automatically transferred to the CBCT according to the calculated deformation area. After the rigid registration of the planed CT and the CBCT images, in order to compensate the deformation range which cannot recover, the transfer of a threatening organ, a tumor profile and a radiation treatment plan from the planned CT to CBCT is realized by adopting an orthogonal wavelet basis function-based deformation registration algorithm through the calculated deformation domain, so that a target position is accurately positioned.

Description

technical field [0001] The invention relates to an adaptive target area conversion method combining image segmentation and deformation registration technology. Background technique [0002] The goal of clinical precision radiotherapy is to maximize the radiation absorption dose of the tumor target area while reducing the radiation absorption dose to the organs at risk as much as possible. For thoracic and abdominal tumors, the current clinical practice is to first locate CT, and then perform successive irradiation according to the formulated radiotherapy plan. However, in the course of radiotherapy, due to the movement and deformation of organs or various objective factors, the tumor and the organ at risk (mainly the liver) deviate from the field of radiation, resulting in under-dose irradiation of the tumor and over-dose of the organ at risk. [0003] Using the image-guided radiation therapy (IGRT) technology developed in recent years, the tumor target area and organs at r...

AI Technical Summary

Problems solved by technology

Clinically, the image-guided radiotherapy technology based on CBCT (Cone beam CT) is mainly used, but at present, this technology is only used to adjust the setup error, that is, to perform rigid body registration based on the bone shape between the planned CT and the KV-level CBCT obtained before radiotherapy. Then the positioning is guided by calculating the position offset of the radiotherapy tumor target area; at the same time, the current radiotherapy plan is only based on the static planned CT, and has not been truly "adaptive"

In addition, the organs at risk and tumors on the planned CT are also drawn manually by doctors, which is time-consuming, laborious and subjective

Images