CT image three-dimensional reconstruction method based on morphological gradient and center feature extraction and related device

Through the method based on morphological gradient and central feature extraction, the problems of slow rendering speed and high computational cost of three-dimensional reconstruction methods in the existing technology are solved, and efficient three-dimensional reconstruction technology is realized, which improves the rendering speed and processing efficiency.

CN119722989AActive Publication Date: 2025-03-28ZHUHAI HENGQIN ALL-STAR MEDICAL TECHNOLOGY CO LTD
3 Cites 1 Cited by

Patent Information

Application Number
CN202510213513.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-03-28
Estimated Expiration
2045-02-26

AI Technical Summary

Technical Problem

The existing three-dimensional reconstruction methods are slow to render and have large calculations when processing complex medical images, making it difficult to meet the needs of real-time applications.

Method used

The three-dimensional reconstruction method of CT images based on morphological gradient and central feature extraction is adopted. By acquiring medical CT images and segmenting target object images, a multi-view angle section sequence is generated, morphological grayscale gradient difference operation is performed, adaptive center point set features are extracted, three-dimensional point cloud data is constructed, and vertex point sets are generated through Poisson's probability distribution, and finally triangular planarization is generated to generate a three-dimensional reconstruction model.

Benefits of technology

It effectively reduces 3D reconstruction data, optimizes 3D reconstruction technology, improves rendering speed, reduces hardware dependence, reduces resource consumption, and improves operating speed and processing efficiency.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a CT image three-dimensional reconstruction method based on morphological gradient and center feature extraction and a related device. The method comprises the following steps: acquiring a medical CT image of a target object; segmenting and extracting a medical CT segmented target object image from the medical CT image; acquiring a multi-view section sequence from the medical CT segmented target object image, and performing morphological gradient difference operation on the multi-view section sequence to obtain target object feature point set data under different view sections; self-adaptive center point set extraction is carried out on the multi-view feature point set to obtain a multi-view center feature point set; according to the multi-view center feature point set data, three-dimensional reconstruction data is generated, and then three-dimensional reconstruction data of the whole target object is obtained; and performing Poisson probability distribution on the three-dimensional reconstruction data to obtain a vertex point set, and performing reconstruction according to the vertex point set to obtain a three-dimensional reconstruction model. Reconstruction data are effectively reduced, and the reconstruction speed is increased.
Need to check novelty before this filing date? Find Prior Art