Cloud computation based early oncotherapy efficacy evaluation system and method

Abstract

The invention discloses a cloud computation based early oncotherapy efficacy evaluation system and method. The system comprises a multimodal imaging acquisition device in the oncotherapy process, a voxel-based multimodal image registration and fusion cloud computation device, a voxel-based early evaluation cloud computation device for efficacies in the oncotherapy process, and a posttreatment cloud computation evaluation device. The system and method provides more accurate, reliable and real-time information abundant in information amount to doctors, and accurate bases are provided for establishing patient-orientated personalized treatment programs. By establishment of a molecular image guided early oncotherapy efficacy evaluation cloud system with high-speed processing capacity, a posttreatment historical data reference platform is provided for medical staff, and a platform used for providing bases to timely adjustment, fast tracking or implementation of treatment schemes on the basis of real-time data in the current treatment course can be provided.

Description

technical field [0001] The invention belongs to the field of medical technology, specifically a system and method for early evaluation of tumor treatment curative effect by multi-mode molecular imaging based on cloud computing, and relates to the field of cloud computing technology and the field of image processing. The massive multi-mode molecular images in the database realize fast parallel processing, and improve the response speed and throughput of image registration analysis and processing. Background technique [0002] Tumor is a disease that seriously threatens human life and health. How to adopt the most effective treatment plan, and adjust the treatment strategy in a timely and rapid manner according to the patient's response to treatment during the course of treatment, so as to obtain the best treatment effect has become a major issue in clinical oncology. One of the key issues in treatment. At present, the commonly used method for evaluating the curative effect o...

AI Technical Summary

Problems solved by technology

The existing medical image processing system, because the image processing and display uses the image registration function of the imaging instrument, the hardware acceleration of the image registration operation is limited, and the interface between different imaging instruments (CT, MRI, PET) is comparatively difficult. It is cumbersome, lacks flexibility, and is not conducive to later expansion of custom operations

Moreover, the amount of commonly used image data is large, so the PC workstation is operating at full capacity, and the registration rate is reduced, which affects the doctor's work efficiency

[0008] In addition, the tumor treatment curative effect evaluation system in the prior art lacks a combination of pre-treatment and in-treatment molecular imaging compound detection treatment curative effect scheme, so that it cannot provide doctors with accurate, reliable, and informative real-time image information, and the quality of tumor treatment cannot be guaranteed. further improvement

In addition, the molecular imaging devices of various modes in the prior art are not open platforms, and the software systems and interfaces can only be operated according to the standards of each manufacturer’s instruments, and cannot be updated, and basically do not have the ability to analyze the curative effect of molecular imaging combined detection and treatment Therefore, it is necessary to establish a molecular image-guided early assessment system for tumor treatment efficacy with high-speed processing capabilities, which can not only provide medical staff with a historical data reference platform after treatment, but also provide a real-time data based on the current treatment process , a platform used to provide evidence for timely adjustment, fast-tracking or implementation of treatment plans

Images