A generic multimodule phantom for testing geometry of a linac c-arm as a part of quality control in radiotherapy.

PURPOSE: To develop an assumption-free methodology for testing geometry of linacs. METHODS: The problem of projecting a fiducial positioned in a predefined point in a 3D space and attached rigidly to a treatment table of a radiotherapeutic device onto an imaging plane with unknown characteristics from a source with unknown coordinates is formulated. The problem of determining these unknowns is formulated as an optimization problem. The problem of determining the gantry/the collimator rotation axis and angle from projection of additional fiducials is also formulated and solved. Analytical methodology is developed for determining isocenter position and an error of estimating isocenter position. The developed methodology is tested in simulations. RESULTS: Very good agreement between preset and calculated values of quantities of interest was found in the simulations. In all cases, the proposed schemes enabled determination of the geometric characteristics of a radiotherapeutic device with accuracy better than one hundredth of a millimeter and one hundredth of a degree. CONCLUSIONS: A concept of a multimodule multifiducial phantom has been introduced. Analytical framework has been developed to extract geometric characteristics of radiotherapy devices from projection images of a phantom. The phantom design and the methodology developed have been tested in simulations.

The potential of multi-slice computed tomography based quantification of the structural anisotropy of vertebral trabecular bone.

In the present paper we addressed the problem of whether the information about the structural anisotropy of trabecular bone can be retrieved from low-quality data, captured with clinical multi-raw spiral CT scanners. Two measures of quantifying structural anisotropy were tested - the current standard mean intercept length (MIL) and the gray-level structure tensor (GST). Thirty two vertebral bodies were µCT and CT scanned. The reference values of structural anisotropy were measured in µCT images and compared with the measures of structural anisotropy determined from low-quality CT data. MIL-based measures of structural anisotropy cannot be reliably determined from CT data. The assessment of the GST is significantly better than that of MIL, but the accuracy is not, in general, satisfactory. Based on the results of experiments with artificial data and the analysis of the real images, it can be concluded that a possible reason of the poor performance is anisotropic resolution of clinical CT scanners.