The aim of this thesis is to investigate temporally evolving phenomena with the use of single photon emission computed tomography (SPECT).The first part of this thesis addresses the problem of respiratory motion in SPECT images of mice. The presented method permits us to detect the respiratory motion in 4D SPECT images, to extract an intrinsic respiratory signal and to determine the widest possible phase of the respiratory cycle without movement. The data recorded during these motionless phases are then used to reconstruct a single 3D SPECT image without motion artefacts per acquisition. Reconstructed motionless SPECT images present a good compromise in terms of statistics and accuracy of the measurements with respect to basic 3D SPECT and 4D SPECT images. In the second part, we study the iodide uptake kinetics in the stomach 99mTc-pertechnetate biodistribution with the of mice through the study of use of 4D SPECT images. To understand the biological role of the iodide accumulation in the stomach, we modelled the phenomenon with a compartmental analysis approach using a simplified two-compartment (stomach wall and cavity) model with one input (blood). Time activity curves (TAC) of each compartment are deduced from observations and a first estimation of the parameters was obtained.
