Year: 2009
Type: article
Abstract: Currently, x-ray computed tomography (CT) requires source scanning so that projections can be collected from various orientations for image reconstruction. Limited by the scanning time, the temporal resolution of CT is often inadequate when rapid dynamics is involved in an object to be reconstructed. To meet this challenge, here the authors propose a scheme of multisource interior tomography for ultrafast imaging that reconstructs a relatively small region of interest (ROI). Specifically, such a ROI is irradiated in parallel with narrow x-ray beams defined by many source-detector pairs for data acquisition. This ROI can be then reconstructed using the interior tomography approach. To demonstrate the merits of this approach, the authors report interior reconstruction from in vivo lung CT data at a much reduced radiation dose, which is roughly proportional to the ROI size. The results suggest a scheme for ultrafast tomography (such as with a limited number of sources and in a scanning mode) to shorten data acquisition time and to suppress motion blurring.
Source: Medical Physics
DOI: 10.1118/1.3157103
Authors: Ge Wang, Hengyong Yu, Yangbo Ye
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Awards: G2074613571, G2113034071, G2373680413, G2863123561, G3419805727, Data Consistency Based Motion Artifact Reduction for Head CT, G4532454364, Bolus Chasing CT Angiography Using Adaptive Control Techniques, G5586313727, Image and Model Based Analysis of Lung Diseases, G7179435877, G9000089036, G9000313428
OpenAlex ID: W2084333087