Simultaneous reconstruction and segmentation for dynamic SPECT imaging

Journal article

Publication Details

Author(s): Burger M, Rossmanith C, Zhang X
Journal: Inverse Problems
Publisher: Institute of Physics Publishing
Publication year: 2016
Volume: 32
ISSN: 0266-5611


This work deals with the reconstruction of dynamic images that incorporate characteristic dynamics in certain subregions, as arising for the kinetics of many tracers in emission tomography (SPECT, PET). We make use of a basis function approach for the unknown tracer concentration by assuming that the region of interest can be divided into subregions with spatially constant concentration curves. Applying a regularised variational framework reminiscent of the Chan-Vese model for image segmentation we simultaneously reconstruct both the labelling functions of the subregions as well as the subconcentrations within each region. Our particular focus is on applications in SPECT with the Poisson noise model, resulting in a Kullback-Leibler data fidelity in the variational approach. We present a detailed analysis of the proposed variational model and prove existence of minimisers as well as error estimates. The latter apply to a more general class of problems and generalise existing results in literature since we deal with a nonlinear forward operator and a nonquadratic data fidelity. A computational algorithm based on alternating minimisation and splitting techniques is developed for the solution of the problem and tested on appropriately designed synthetic data sets. For those we compare the results to those of standard EM reconstructions and investigate the effects of Poisson noise in the data.

External institutions
Shanghai Jiao Tong University / 上海交通大学
Westfälische Wilhelms-Universität (WWU) Münster

How to cite

Burger, M., Rossmanith, C., & Zhang, X. (2016). Simultaneous reconstruction and segmentation for dynamic SPECT imaging. Inverse Problems, 32.

Burger, Martin, Carolin Rossmanith, and Xiaoqun Zhang. "Simultaneous reconstruction and segmentation for dynamic SPECT imaging." Inverse Problems 32 (2016).


Last updated on 2018-03-12 at 11:53