Improving the quality of small animal brain pinhole SPECT imaging by Bayesian reconstruction

The possibility of using existing hardware makes pinhole single-photon emission computed tomography (SPECT) attractive when pursuing the ultra-high resolution required for small animal brain imaging. Unfortunately, the poor sensitivity and the heavy weight of the collimator hamper the use of pinhole SPECT in animal studies by generating noisy and misaligned projections. To improve the image quality we have developed a new Bayesian reconstruction method, pinhole median root prior (PH-MRP), which prevents the excessive noise accumulation from the projections to the reconstructed image. The PH-MRP algorithm was used to reconstruct data acquired with our small animal rotating device, which was designed to reduce the rotation orbit misalignments. Phantom experiments were performed to test the device and compare the PH-MRP with the conventional Feldkamp-Davis-Kress (FDK) and pinhole ordered subsets maximum likelihood expectation maximisation (PH-OSEM) reconstruction algorithms. The feasibility of the system for small animal brain imaging was studied with Han-Wistar rats injected with (123)I-epidepride and (99m)Tc-hydroxy methylene diphosphonate. Considering all the experiments, no shape distortions due to orbit misalignments were encountered and remarkable improvements in noise characteristics and also in overall image quality were observed when the PH-MRP was applied instead of the FDK or PH-OSEM. In addition, the proposed methods utilise existing hardware and require only a certain amount of construction and programming work, making them easy to implement.