Theoretical framework for a dynamic cone-beam reconstruction algorithm based on a dynamic particle model

Dynamic cone-beam reconstruction algorithms are required to reconstruct three-dimensional (3D) image sequences on dynamic 3D CT combining multi-row two-dimensional (2D) detectors and sub-second scanners. The speed-up of the rotating gantry allows one to improve the temporal resolution of the image s...

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Bibliographic Details
Published in:Physics in medicine & biology 2002-08, Vol.47 (15), p.2611-2625, Article 304
Main Authors: Grangeat, Pierre, Koenig, Anne, Rodet, Thomas, Bonnet, Stéphane
Format: Article
Language:English
Subjects:
Algorithms
Biological and medical sciences
Computer Simulation
Data acquisition
Detectors
Drug dosage
Humans
Image reconstruction
Imaging, Three-Dimensional - methods
Medical sciences
Models, Theoretical
Motion
Optical resolving power
Phantoms, Imaging
Radiographic Image Enhancement - methods
Radiography, Thoracic - methods
Scanning
Sensitivity and Specificity
Signal to noise ratio
Tomography, X-Ray Computed - instrumentation
Tomography, X-Ray Computed - methods
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Summary:Dynamic cone-beam reconstruction algorithms are required to reconstruct three-dimensional (3D) image sequences on dynamic 3D CT combining multi-row two-dimensional (2D) detectors and sub-second scanners. The speed-up of the rotating gantry allows one to improve the temporal resolution of the image sequence, but at the same time, it implies increase in the dose delivered during a given time period to keep constant the signal-to-noise ratio associated with each frame. The alternative solution proposed in this paper is to process data acquisition on several half-turns in order to reduce the dose delivered per rotation with the same signal-to-noise ratio. In order to compensate for time evolution and motion artefacts, we propose to use a dynamic particle model to describe the object evolution during the scan. In this article, we first introduce the dynamic particle model and the dynamic CT acquisition model. Then, we explain the principle of the proposed dynamic cone-beam reconstruction algorithm. Lastly, we present preliminary results on simulated data.
ISSN:0031-9155
1361-6560
DOI:10.1088/0031-9155/47/15/304