Development of novel statistical reconstruction algorithms for poly-energetic X-ray computed tomography.

A beam-hardening effect is a common problem affecting the quantitative aspects of X-ray computed tomography (CT). We have developed two statistical reconstruction algorithms for poly-energetic X-ray CT that can effectively reduce the beam-hardening effect. Phantom tests were used to evaluate our approach in comparison with traditional correction methods. Unlike previous methods, our algorithm utilizes multiple energy-corresponding blank scans to estimate the attenuation map for a particular energy spectrum. Therefore, our algorithm is an energy-selective reconstruction. In addition to benefits over other statistical algorithms for poly-energetic reconstruction, our algorithm has the advantage of not requiring prior knowledge of the object material, the energy spectrum of the source and the energy sensitivity of the detector. The results showed an improvement in coefficient of variation, uniformity and signal-to-noise ratio; overall, this novel approach produces a better beam-hardening correction.

A novel blood-cell-two-compartment model for transferring a whole blood time activity curve to plasma in rodents.

The term input function usually refers to the tracer plasma time activity curve (pTAC), which is necessary for quantitative positron emission tomography (PET) studies. The purpose of this study was to acquire the pTAC by independent component analysis (ICA) estimation from the whole blood time activity curve (wTAC) using a novel method, namely the FDG blood-cell-two-compartment model (BCM). This approach was compared to a number of published models, including linear haematocrit (HCT) correction, non-linear HCT correction and two-exponential correction. The results of this study show that the normalized root mean square error (NRMSE) and the error of the area under curve (EAUC) for the BCM estimate of the pTAC were the smallest. Compartmental and graphic analyses were used to estimate the metabolic rate of the FDG (MR(FDG)). The percentage error for the MR(FDG) (PE(MRFDG)) was estimated from the BCM corrected pTAC and this was also the smallest. It is concluded that the BCM is a better choice when transferring wTAC into pTAC for quantification.

Evaluation of the quantitative capability of a home-made cone-beam micro computed tomography system.

Quantitative computed tomography provides the most accurate form of bone mineral density measurement. It is very useful in several applications when used with micro computed tomography (microCT). The objective of this study is to evaluate the quantitative capability of iterative and analytic reconstruction with and without energy-based beam hardening calibration using a home-made microCT. Due to the fact that the source of X-rays in the microCT is poly-energetic and the linear attenuation coefficient varies with the energy of the X-ray photons, a specific correction is presented in this study that resolves the poly-energetic effect. Then, a 3D distribution of the linear attenuation coefficient is reconstructed from the ordered subsets using the maximum likelihood and T-FDK algorithms. These algorithms were both developed for cone-beam microCT. The images reconstructed by the two algorithms with/without correction are presented. A region of interest analysis is used to evaluate the results from two algorithms and their advantages and disadvantages are discussed. The quantitative capability is better when the image is reconstructed using the iterative method along with a beam hardening correction.