Dynamic X-ray computed tomography

• Published in: Proceedings of the IEEE Vol. 91; no. 10; pp. 1574 - 1587
• Main Authors: Bonnet, S., Koenig, A., Roux, S., Hugonnard, P., Guillemaud, R., Grangeat, P.
• Format: Journal Article
• Language: English
• Published: New York IEEE 2003; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computation; Computed tomography; Detectors; Dynamics; Frames; Humans; Image reconstruction; Image resolution; Image sequences; Imaging; Medical imaging; Optical imaging; Reconstruction algorithms; Signal to noise ratio; Studies; Tomography; X-ray imaging
• ISSN: 0018-9219; 1558-2256
• DOI: 10.1109/JPROC.2003.817868

Dynamic computed tomography (CT) imaging aims at reconstructing image sequences where the dynamic nature of the living human body is of primary interest. The main applications concerned are image-guided interventional procedures, functional studies and cardiac imaging. The introduction of ultra-fast rotating gantries along with multi-row detectors and in near future area detectors allows huge progress toward the imaging of moving organs with low-contrast resolution. This paper gives an overview of the different concepts used in dynamic CT. A new reconstruction algorithm based on a voxel-specific dynamic evolution compensation is also presented. It provides four-dimensional image sequences with accurate spatio-temporal information, where each frame is reconstructed using a long-scan acquisition mode on several half-turns. In the same time, this technique permits to reduce the dose delivered per rotation while keeping the same signal to noise ratio for every frame using an adaptive motion-compensated temporal averaging. Results are illustrated on simulated data.