Radiomics of Bone Analysis in Micro-CT Imaging with FDK Reconstruction and Modified Simultaneous Algebraic Reconstruction Technique
MetadataShow full item record
Micro-CT provides high resolution image of small objects that can be used in various applications. One of the significant advantages of micro-CT lies in high sensitivity to bone structure. With micro-CT images, the degradation of bone structure induced by chronic kidney disease (CKD) being associated with gradual bone loss can be quantified. The bone turnover occurs from the failure of the kidneys to regulate bone mineralization. The current methods of quantitative imaging typically use a single region of interest (ROI) that segments the whole trabecular region and obtain bone parameters, which usually are not homogenous across such a large ROI. Here we introduce a novel method of quantifying bone parameters that can be used to determine overall bone health. This method analyzes sequential regions on the trabecular bone with multiple small ROIs and evaluates the gradients of bone parameters across these ROIs. Two C57Bl/6J mice femur groups were prepared: a control and CKD groups. All femurs were scanned with a Micro-CT system using tube voltage of 60 kV and current of 0.667 mA. Femur volumes were reconstructed with the Feldkamp-Davis-Kress algorithm and were imported into MicroView to perform bone analysis. Six different sequential ROIs were selected at different distances from the growth plate (0.5mm increments). The gradients of bone parameters along the ROI distance for the control and CKD group were compared. Significant differences were found between two groups in the gradients of bone volume density (P = 0.0002), connective density (P = 0.0003), trabecular spacing (P = 0.001), and trabecular number (P = 0.01). As a result, the gradient method identified a significant change in several parameters representing a novel and biologically significant strategy.