Tomographic dynamic imaging and system identification with partially sampled noisy radio-active signal

We propose a novel approach to perform the tomographic dynamic imaging of the cross-section of humans, which is time-varying in nature. The approach requires only the partially sampled noisy radio-active signal recorded by a conventional rotating camera system, without the need of knowing any additional information or prior knowledge. Based on the reconstructed dynamic images, we use a new system identification technique to quantify the dynamic processes in humans and to estimate the physiological parameters. The reliability of the method has been tested by computer simulations and the results show that using the proposed approach, dynamic imaging and system identification by a conventional rotating camera system with partially sampled noisy radio-active signals are comparable with those using a more expensive system where fully sampled data are needed