Translator Disclaimer
4 March 2013 A dynamic image reconstruction method with spatio-temporal constraints
Author Affiliations +
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 26- fold acceleration in the image reconstruction as compared to more traditional methods that have to reconstruct all time frames data sequentially.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hyun Keol Kim, Michael Khahil, Jacqueline Gunther, Ludguier Montejo, and Andreas H. Hielscher "A dynamic image reconstruction method with spatio-temporal constraints", Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 858131 (4 March 2013);

Back to Top