Auricle projection area measurement method and system based on medical image
Through three-dimensional reconstruction and multi-angle projection of medical imaging images, the improved Marching Cubes algorithm is used to generate a three-dimensional model and iteratively measure the maximum projection area of the auricle, which solves the problem of low traditional manual measurement accuracy and realizes the high-precision quantitative evaluation of auricle defects and the objectivity of judicial identification.
Patent Information
- Application Number
- CN202510343641.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-22
- Publication Date
- 2025-07-01
AI Technical Summary
In the prior art, the measurement of auricle area relies on manual outline or two-dimensional photography, which has low accuracy and poor efficiency, resulting in inconsistent judicial appraisal conclusions and errors in appraisal.
Through three-dimensional reconstruction and multi-angle projection of medical image images, a three-dimensional model is generated using the improved Marching Cubes algorithm, and the maximum projection area of the auricle is automatically measured through a dynamic angle iteration algorithm.
High-precision measurement of quantitative evaluation of auricle defects is achieved, providing an objective basis for judicial appraisal.
Smart Images

Figure FT_1 
Figure FT_2
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of forensic medicine, and specifically to a method for measuring the projected area of the auricle based on medical imaging images (including but not limited to CT, MRI, etc.), which is used for the quantitative evaluation of auricle defects in forensic identification. Background Art
[0002] Existing auricle area measurements mostly rely on manual delineation or two-dimensional photography, which have problems of low accuracy and poor efficiency. The lack of a clear measurement method in the GA / T 1970-2021 standard easily leads to inconsistent and incorrect identification conclusions. Summary of the Invention
[0003] The present invention discloses a method for measuring the projected area of the auricle based on medical imaging. Through three-dimensional reconstruction and multi-angle projection optimization of medical imaging images, automatic measurement of the maximum projected area of the auricle is achieved, specifically including: (1) Extracting the auricle region based on threshold segmentation and manual refinement selection; (2) Generating a three-dimensional model using an improved Marching Cubes algorithm; (3) Determining the maximum projected area through dynamic angle iteration and generating a visualization result.
[0004] This method solves the problem of low accuracy in traditional manual measurement and can be applied to the quantitative evaluation of auricle defects in forensic medicine. Description of the Drawings Figure 1 It is: the original CT image (slice thickness ≤ 1 mm), the red box is the auricle region segmentation (threshold range 80 - 120 HU), step size 5°) calculating the projected area (minimum → maximum projected area) Figure 2 It is: through three-dimensional reconstruction of the auricle (improved Marching Cubes algorithm) and dynamic angle iteration (0° → 180°).
Claims
1. A method for measuring the projection area of the auricle based on medical imaging examinations (including but not limited to CT or MRI), characterized in that The following steps are involved: Acquire a head imaging image of the target object; Performing threshold segmentation or manual selection segmentation on the CT image to extract the auricle area; Based on the segmentation results, the improved Marching Cubes algorithm is used to reconstruct the three-dimensional model of the auricle, and the model can be finely reconstructed again through manual segmentation; The maximum projection area is determined by dynamic angle iteration calculation.
2. The measuring method according to claim 1, characterized in that: The threshold segmentation adopts Otsu algorithm.
3. The measuring method according to claim 1, characterized in that: The step size of the dynamic angle iteration is 1-15°, and the calculation angle range is 0°-180°.
Citation Information
Cited By
Ossicular ossicle defect index measurement method, device and equipment and storage medium
CN121366116A