Cardiac C‐arm computed tomography using a 3D + time ROI reconstruction method with spatial and temporal regularization. Issue 2 (13th January 2014)

• Record Type: Journal Article
• Authors: Mory, Cyril; Auvray, Vincent; Zhang, Bo; Grass, Michael; Schäfer, Dirk; Chen, S. James; Carroll, John D.; Rit, Simon; Peyrin, Françoise; Douek, Philippe; Boussel, Loïc
• Is Part Of: Medical physics. Volume 41:Issue 2(2014)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2014-01-13
• Subjects: Computed tomography -- Reconstruction -- Numerical optimization; cardiology -- computerised tomography -- conjugate gradient methods -- image reconstruction -- image representation -- medical image processing -- minimisation -- phantoms; C‐arm -- computed tomography -- heart -- ROOSTER -- compressed sensing; Computerised tomographs -- Biological material, e.g. blood, urine; Haemocytometers -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general; Heart -- Cardiac dynamics -- Medical imaging -- Computed tomography -- Three dimensional image processing -- Heart disease -- Medical image reconstruction -- Muscles -- Image reconstruction -- Spatial dimensions; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4860215
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: : Reconstruction of the beating heart in 3D + time in the catheter laboratory using only the available C‐arm system would improve diagnosis, guidance, device sizing, and outcome control for intracardiac interventions, e.g., electrophysiology, valvular disease treatment, structural or congenital heart disease. To obtain such a reconstruction, the patientˈs electrocardiogram (ECG) must be recorded during the acquisition and used in the reconstruction. In this paper, the authors present a 4D reconstruction method aiming to reconstruct the heart from a single sweep 10 s acquisition. Methods: : The authors introduce the 4D RecOnstructiOn using Spatial and TEmporal Regularization (short 4D ROOSTER) method, which reconstructs all cardiac phases at once, as a 3D + time volume. The algorithm alternates between a reconstruction step based on conjugate gradient and four regularization steps: enforcing positivity, averaging along time outside a motion mask that contains the heart and vessels, 3D spatial total variation minimization, and 1D temporal total variation minimization. Results: : 4D ROOSTER recovers the different temporal representations of a moving Shepp and Logan phantom, and outperforms both ECG‐gated simultaneous algebraic reconstruction technique and prior image constrained compressed sensing on a clinical case. It generates 3D + time reconstructions with sharp edges which can be used, for example, to estimate the patientˈs left ventricular ejection fraction. Conclusions: : 4D ROOSTER can be applied for human cardiac C‐arm CT, and potentially in other dynamic tomography areas. It can easily be adapted to other problems as regularization is decoupled from projection and back projection.