Assessment of temporal resolution and detectability of moving objects in CT: A task-based image quality study.
Details
Serval ID
serval:BIB_2B572F1FDAAC
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Assessment of temporal resolution and detectability of moving objects in CT: A task-based image quality study.
Journal
Physica medica
ISSN
1724-191X (Electronic)
ISSN-L
1120-1797
Publication state
Published
Issued date
04/2024
Peer-reviewed
Oui
Volume
120
Pages
103337
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
The metrics used for assessing image quality in computed tomography (CT) do not integrate the influence of temporal resolution. A shortcoming in the assessment of image quality for imaging protocols where motion blur can therefore occur. We developed a method to calculate the temporal resolution of standard CT protocols and introduced a specific spatiotemporal formulation of the non-prewhitening with eye filter (NPWE) model observer to assess the detectability of moving objects as a function of their speed. We scanned a cubic water phantom with a plexiglass cylindrical insert (120 HU) using a large panel of acquisition parameters (rotation times, pitch factors and collimation widths) on two systems (GE Revolution Apex and Siemens SOMATOM Force) to determine the in-plane task-based transfer functions (TTF) and noise power spectra (NPS). The phantom set in a uniform rectilinear motion in the transverse plane allowed the temporal modulation transfer function (MTF) calculation. The temporal MTF appropriately compared the temporal resolution of the various acquisition protocols. The longitudinal TTF was measured using a thin tungsten wire. The detectability index showed the advantage of applying high rotation speed, wide collimations and high pitch for object detection in the presence of motion. No counterpart to the increase in these three parameters was found in the in-plane and longitudinal image quality.
Keywords
Radiation Dosage, Tomography, X-Ray Computed/methods, Phantoms, Imaging, Radiographic Image Interpretation, Computer-Assisted, Algorithms, Computed tomography, Detectability index, Image quality, Temporal resolution
Pubmed
Web of science
Open Access
Yes
Create date
05/04/2024 7:27
Last modification date
25/05/2024 6:13