Spectral micro-CT for quantitative analysis of calcification in fibrocartilage
Abstract
PurposeWe describe a method for the quantitative analysis of calcification structures in fibrocartilage samples from human hip acetabular labrum, using a lab-based spectral micro-computed tomography (μCT) system.ApproachTissue samples from 26 patients with osteoarthritis and femoroacetabular impingement were analyzed using a spectral μCT system featuring photon-counting detector with a 62 μm pixel size operating at two energy thresholds. Material decomposition was applied to the μCT images to separate calcium and water-like components, resulting in the 3D spatial distribution and quantification of calcium deposits within the tissue. Results were compared with histological analysis using Alizarin Red™ staining. Two calcium crystal deposition scores on a four-grade scale were assigned based on histological and μCT analysis, respectively.ResultsThis method provides 3D images with a voxel size of 20 μm over a sample size up to 3 cm. The minimum detectable calcium concentration is 0.24 g/cm3, and calcified structures as small as 49.6 μm in diameter were identified. The quantification accuracy was validated using a hydroxyapatite calibration phantom. Across the complete sample set, spectral µCT grading demonstrated significant correlation (Spearman correlation coefficient ρ=0.67) and substantial agreement (weighted Cohen’s coefficient κ=0.70) with histological assessment. Moreover, the calcification spatial distribution exhibited very good consistency with histological results, supporting the method validity.ConclusionsThis approach offers a nondestructive and reproducible alternative to histology for assessing calcification in joint tissue, providing quantitative 3D mapping of calcium concentration in intact samples without the need for staining or physical sectioning.
Fields of Study & Subjects
Advanced X-ray and CT Imaging
Advanced X-ray Imaging Techniques
Dental Radiography and Imaging
Publication details
- Journal / source
- Journal of medical imaging
- Volume
- 13
- Issue
- 04
- Pages
- 1–17
- Publication date
- 12 August 2026
- Language
- EN