Liver ct image reconstruction method under low dose scanning condition

By constructing a low-dose liver CT image reconstruction framework based on local structure perception and information regulation, the problem of balancing noise suppression and detail preservation in low-dose liver CT image reconstruction is solved, achieving high-quality reconstruction of liver CT images and improving the recognizability and spatial continuity of liver edge contours and structural details.

CN121639866BActive Publication Date: 2026-06-09THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
Filing Date
2025-12-24
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing low-dose liver CT image reconstruction techniques struggle to achieve a good balance between noise suppression and detail preservation, particularly in terms of insufficient enhancement of liver tissue boundaries and structural details. They fail to fully exploit the deep morphological distribution features of the images, resulting in insufficient accuracy in restoring complex structural details and inadequate ability to express the distribution changes of information in spatial structures.

Method used

A low-dose liver CT image reconstruction framework with local structure perception, potential morphological analysis and information modulation capabilities is constructed. Through the structure aggregation module, morphological modulation module and information expansion modulation module, the local feature expression of liver edge contour, texture transition area and low contrast area is enhanced, and finally high-quality reconstructed image is generated.

Benefits of technology

It significantly improves the clarity and structural continuity of liver CT images under low-dose conditions, enhances the structural discernibility of liver tissue edges and overall spatial coherence, and improves the diagnostic reliability of the images.

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Abstract

This invention proposes a method for liver CT image reconstruction under low-dose scanning conditions, relating to the field of image processing. The specific steps include: acquiring standard-dose liver CT images and generating low-dose liver CT images; based on the low-dose liver CT images, calculating channel feature differences within a neighborhood to construct local structural potential energy, generating structural driving force response values ​​based on potential energy differences, selecting the direction of maximum response as the feature aggregation direction, and combining it with a jump aggregation control factor for feature fusion to obtain a structural aggregation feature map; calculating morphological projection density and slope mapping on the structural aggregation feature map, and obtaining a morphological modulation feature map through feature modulation and residual fusion; based on the morphological modulation feature map, combining neighborhood grayscale difference expansion and multi-channel displacement feature analysis to generate a signal modulation factor and perform nonlinear feature modulation to obtain an information migration modulation map; and inputting the information migration modulation map into a reconstruction module for image reconstruction.
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Citation Information

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