A Dynamic Image Reconstruction Method with Spatio-Temporal Constraints

We introduce here a temporally constrained image reconstruction algorithm for fast dynamic imaging of the spatial distribution of tissue parameters such as oxy-hemoglobin, HbO2, or deoxy-hemoglobin, Hb, and their derived parameters, e.g., HbT or StO2. An unknown spatial-temporal distribution of the tissue parameter is represented by a combination of basis functions where bases are predefined and their coefficients are unknown. The performance of the new algorithm is evaluated using experimental studies with dynamic imaging of vascular disease in foot. The results show that the temporally constrained algorithm leads to 26fold acceleration in the image reconstruction as compared to more traditional methods that have to reconstruct all time frames data sequentially.