Automatic split input tool configuration

By using metadata and neural networks to adjust tool configuration parameters, the problem of tedious segmentation tool switching was solved, achieving automated and efficient 3D medical image segmentation.

CN121844352APending Publication Date: 2026-04-10KONINKLIJKE PHILIPS NV
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Patent Information

Application Number
CN202480057958.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-09-11
Filing Date
2024-09-04
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Existing technologies for segmenting 3D medical images are laborious to switch between different tools and tool settings, and are difficult to automatically adapt to the input segmentation and editing data, resulting in low efficiency in the segmentation process.

Method used

By using the tool and its metadata to automatically adjust the tool configuration parameters, combined with the image processing neural network and the tool configuration neural network, the size and behavior of the segmentation input tool are dynamically adjusted to adapt to the user's operating habits and image features.

Benefits of technology

It improves the automation and efficiency of the segmentation process, reduces the amount of operations users need to switch between different tools, and enhances the accuracy and consistency of segmentation results.

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Abstract

A method is disclosed herein. The method includes receiving (200) a three-dimensional medical image (122) and presenting (202) a cross-sectional view (126) of the three-dimensional medical image on a user interface (124). The user interface includes a split input tool (128); the method further includes repeatedly: receiving (204) split edit data (132) from the split input tool, where the split input tool includes tool configuration parameters (130) configured to control how the split input tool generates the split edit data; collecting (206) tool use metadata (134), the tool use metadata description inputting the split edit data using the split input tool; modifying (208) the tool configuration parameters using the tool usage metadata; and construct (210) a segmentation (136) of the three-dimensional medical image using the segmentation editing data.
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