Internal secretion related anorectal traditional Chinese medicine pharmacological image sequence analysis method
By analyzing the pharmacological image sequences of endocrine-related anorectal traditional Chinese medicines, eliminating repetitive regions, tracing the pathways of traditional Chinese medicines and hormone cycles, a directional and rhythmic pharmacological change trajectory was constructed. This solved the problem of image structure evolution in existing technologies and constructed a pharmacological change trajectory with directionality, rhythm, and sequence.
Patent Information
- Application Number
- CN202511126490.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-12
- Publication Date
- 2025-12-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies lack the ability to perceive the overall evolution of image structure in the pharmacological image sequence analysis of endocrine-related anorectal Chinese medicines. This makes it difficult to construct a pharmacological change trajectory with logical clues in the image sequence, lacks a unified tracking mechanism for changes in tissue boundaries, cannot sequentially calibrate the spatial offset of layer structure, and the tissue response process is characterized by dispersion, strong discontinuity, and unclear direction.
By acquiring continuous frames from anorectal image sequences, the circular boundaries of intestinal tissue are extracted, repeated folds and overlapping areas are removed, and unidirectional evolution layers are continuously tracked to locate the tissue regions traversed by the path of traditional Chinese medicine. The consistency between the direction of change and the path is analyzed, the direction of tissue boundary drift is tracked, and the morphological changes of the reaction area are compared with the hormone release cycle to screen out structural regions that are consistent in direction and continuously extended.
It enhances the recognition continuity of structural changes between image frames, constructs pharmacological change trajectories with directionality, rhythm, and sequence, and improves the interpretability and coherence of tissue changes in image sequences.