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Angelo Taibi

Publications and source records attributed to Angelo Taibi.

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Spectral micro-CT for quantitative analysis of calcification in fibrocartilage

This work introduces a quantitative method for assessing calcification in fibrocartilage using spectral micro-computed tomography ($\mu$CT). Tissue samples of hip acetabular labrum from patients with osteoarthritis and femoroacetabular impingement were imaged with a laboratory-based spectral $\mu$CT system equipped with a small-pixel photon-counting detector. The detector operated with two energy thresholds, allowing the simultaneous acquisition of two CT datasets at different X-ray energies. A material decomposition algorithm accounting for the system's spectral response was applied to separate calcium- and water-like components, yielding three-dimensional visualization and quantification of calcified regions within intact paraffin-embedded samples. Unlike the conventional method for calcification assessment based on histology, this spectral \mu CT approach offers volumetric quantification of calcium structures without physical sectioning or staining. The method achieved a voxel size of 20 $\mu$m for samples up to ~3 cm, with a calcium detection threshold of ~0.3 g/cm$^3$ for structures down to 50 $\mu$m. Quantification accuracy was estimated to be 5% by using a calibration phantom. Further comparison with histology demonstrated the correct localization of calcium spatial distributions and a match in the calcium crystal deposition score by providing non-destructive, quantitative 3D calcium maps of preserved tissue samples. This technique complements histology and could enhance the characterization of pathological fibrocartilage calcification in hip joint disorders.

physics.med-ph

Characterization of breast tissues in density and effective atomic number basis via spectral X-ray computed tomography

Differentiation of breast tissues is challenging in X-ray imaging because tissues might share similar or even the same linear attenuation coefficients $\mu$. Spectral computed tomography (CT) allows for more quantitative characterization in terms of tissue density and effective atomic number by exploiting the energy dependence of $\mu$. In this work, 5 mastectomy samples and a phantom with inserts mimicking breast soft tissues were evaluated in a retrospective study. The samples were imaged at three monochromatic energy levels in the range of 24 - 38 keV at 5 mGy per scan using a propagation-based phase-contrast setup at SYRMEP beamline at the Italian national synchrotron Elettra. A custom-made algorithm incorporating CT reconstructions of an arbitrary number of spectral energy channels was developed to extract the density and effective atomic number of adipose, fibro-glandular, pure glandular, tumor, and skin from regions selected by a radiologist. Preliminary results suggest that, via spectral CT, it is possible to enhance tissue differentiation. It was found that adipose, fibro-glandular and tumorous tissues have average effective atomic numbers (5.94 $\pm$ 0.09, 7.03 $\pm$ 0.012, and 7.40 $\pm$ 0.10) and densities (0.90 $\pm$ 0.02, 0.96 $\pm$ 0.02, and 1.07 $\pm$ 0.03 g/cm$^{3}$) and can be better distinguished if both quantitative values are observed together.

physics.med-ph