Method and system for evaluating curative effect image of liver cancer rupture bleeding embolism treatment

By combining initial computer segmentation with doctor-interactive correction, and utilizing the visualization interface and multidimensional feature extraction of enhanced CT image data, the problem of distinguishing between active tumors and non-tumor components after hepatocellular carcinoma rupture and hemorrhage embolization treatment has been solved, enabling more accurate efficacy assessment and safer treatment plan formulation.

CN121617569APending Publication Date: 2026-03-06WENZHOU CENT HOSPITAL
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Patent Information

Application Number
CN202511794148.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-02
Publication Date
2026-03-06

AI Technical Summary

Technical Problem

Traditional image processing methods struggle to accurately distinguish between active tumor tissue and non-tumor components after hemorrhage embolization treatment for liver cancer rupture, leading to misjudgment of treatment efficacy and potentially delaying or over-treating the condition.

Method used

Combining preliminary computer-generated classification with the experience of medical experts, and through an interactive correction mechanism, the boundaries of the lesion area are adjusted in real time using a visualization interface for enhanced CT image data and multi-dimensional feature extraction, generating an assessment report.

Benefits of technology

This improves the accuracy of efficacy assessment in embolization treatment of ruptured liver cancer, avoids the risk of misdiagnosis and mistreatment, and provides more precise treatment plans and prognostic criteria.

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Abstract

The invention relates to the technical field of medical image processing, and discloses a liver cancer rupture bleeding embolism treatment curative effect image evaluation method and system, and the method comprises the steps: S1, obtaining enhanced CT image data of a patient after liver cancer rupture bleeding embolism treatment, carrying out the preliminary region division of a focus region of the enhanced CT image data, and carrying out the image segmentation of the focus region; obtaining a preliminary region division result; s2, when an interaction correction mark made by a user on at least one sub-region of the preliminary region division result is received, the preliminary region division result is adjusted in real time, the boundary of the adjusted sub-region is obtained, and the interaction correction mark indicates the real organization type of the sub-region; s3, circularly executing the step S2 to perform interactive iteration correction on the boundary of the sub-region until the user confirms a final division result; and S4, performing volume quantitative evaluation on different types of tissues of the final division result, and generating an evaluation report. According to the invention, misjudgment caused by fuzzy and overlapped image features is effectively avoided.
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