A method, device, equipment, storage medium and program product for classifying the horizontal position relationship between the apical root of the maxillary premolar and the floor of the maxillary sinus
By acquiring image data of the maxillary premolar region, filtering and grouping it, and using a three-dimensional coordinate system and radial search technology, the problem of the inability of existing technologies to accurately reflect the complex adjacent relationship between the root apex of the maxillary premolar and the floor of the maxillary sinus is solved. This achieves precise classification based on the tooth root, providing a more accurate basis for clinical diagnosis and surgical planning.
CN122199506APending Publication Date: 2026-06-12BEIJING ANZHEN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING ANZHEN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
- Filing Date
- 2026-03-26
- Publication Date
- 2026-06-12
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Figure CN122199506A_ABST
Abstract
The method, device, equipment, storage medium and program product for classifying the horizontal position relationship between the apical root of the maxillary premolar and the maxillary sinus bottom provided by the embodiments of the present disclosure, the method comprises: acquiring image data of a maxillary premolar region, screening the image data of the maxillary premolar region according to a first preset condition to obtain first screening image information; performing first grouping on the first screening image information according to a second preset condition to obtain a first grouping result; performing second grouping on the observable groups in the first grouping result according to a third preset condition to obtain a second grouping result; and outputting a classification data report of each apical root of the maxillary premolar based on the first grouping result and the second grouping result, which widens the classification application range, enriches the classification dimension, comprehensively and accurately reflects the adjacency relationship between the two, and provides a more reliable reference basis for oral clinical diagnosis and treatment.
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