Rank-sparsity constrained, spectro-temporal reconstruction for retrospectively gated, dynamic CT

D. P. Clark; C. L. Lee; D. G. Kirsch; C. T. Badea

doi:10.1117/12.2081379

18 March 2015 Rank-sparsity constrained, spectro-temporal reconstruction for retrospectively gated, dynamic CT

D. P. Clark, C. L. Lee, D. G. Kirsch, C. T. Badea

Proceedings Volume 9412, Medical Imaging 2015: Physics of Medical Imaging; 94120B (2015) https://doi.org/10.1117/12.2081379
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Relative to prospective projection gating, retrospective projection gating for dynamic CT applications allows fast imaging times, minimizing the potential for physiological and anatomic variability. Preclinically, fast imaging is attractive due to the rapid clearance of low molecular weight contrast agents and the rapid heart rate of rodents. Clinically, retrospective gating is relevant for intraoperative C-arm CT. More generally, retrospective sampling provides an opportunity for significant reduction in x-ray dose within the framework of compressive sensing theory and sparsity-constrained iterative reconstruction. Even so, CT reconstruction from projections with random temporal sampling is a very poorly conditioned inverse problem, requiring high fidelity regularization to minimize variability in the reconstructed results. Here, we introduce a highly novel data acquisition and regularization strategy for spectro-temporal (5D) CT reconstruction from retrospectively gated projections. We show that by taking advantage of the rank-sparse structure and separability of the temporal and spectral reconstruction sub-problems, being able to solve each sub-problem independently effectively guarantees that we can solve both problems together. In this paper, we show 4D simulation results (2D + 2 energies + time) using the proposed technique and compare them with two competing techniques— spatio-temporal total variation minimization and prior image constrained compressed sensing. We also show in vivo, 5D (3D + 2 energies + time) myocardial injury data acquired in a mouse, reconstructing 20 data sets (10 phases, 2 energies) and performing material decomposition from data acquired over a single rotation (360°, dose: ~60 mGy).

Citation Download Citation

D. P. Clark, C. L. Lee, D. G. Kirsch, and C. T. Badea "Rank-sparsity constrained, spectro-temporal reconstruction for retrospectively gated, dynamic CT", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94120B (18 March 2015); https://doi.org/10.1117/12.2081379

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available