A residual correction method for high-resolution PET reconstruction with application to on-the-fly Monte Carlo based model of positron range

作者：Fu Lin^*; Qi Jinyi

来源：Medical Physics, 2010, 37(2): 704-713.

DOI：10.1118/1.3284980

• image reconstruction
• iterative methods
• maximum likelihood estimation
• medical image processing
• Monte Carlo methods
• positron emission tomography

Methods: Unlike conventional iterative methods that assume that the system matrix is accurate, the proposed method reconstructs an image with a simplified system matrix and then removes the reconstruction artifacts through residual correction. Since the time-consuming forward and back projection operations using the accurate system matrix are not required in every iteration, image reconstruction time can be greatly reduced.
Results: The authors apply the new algorithm to high-resolution positron emission tomography reconstruction with an on-the-fly Monte Carlo (MC) based positron range model. Computer simulations show that the new method is an order of magnitude faster than the traditional MC-based method, whereas the visual quality and quantitative accuracy of the reconstructed images are much better than that obtained by using the simplified system matrix alone.
Conclusions: The residual correction method can reconstruct high-resolution images and is computationally efficient.

• 出版日期2010-2