Effects of Iterative Reconstruction on Image Quality of Pediatric Body Computed Tomography Images

Abstract

This study evaluated the effects of three types of hybrid iterative reconstruction (IR) on image quality of pediatric body computed tomography images. The image quality components evaluated were noise power spectrum (NPS), task-based modulation transfer function (TTF), and system performance function (SPF). As the IR strength was increased while reducing the radiation dose, the NPS increased in a low-frequency range and the TTF decreased in low-contrast regions. In the low-contrast regions, the calculated SPF decreased over the entire frequency range. Alternatively, in the high-contrast regions, the SPF decreased in the low-frequency regions and increased in the high-frequency regions. The radiation dose reduction using the hybrid IR resulted in the deterioration of the image quality in the low-contrast regions and changes in the spatial frequency characteristics in the high-contrast regions.

Computed Tomography Images under Iterative Reconstruction Algorithm in Analysis of the Efficacy of Honey-Fried Herba Ephedrae along with Western Medicine on Acute Exacerbation Chronic Obstructive Pulmonary Disease

“…IR has the advantages of fewer projections and imaging under conditions of incomplete data and low signal-to-noise ratio, which is currently used in the reduction of image noise in medical equipment and the improvement of image quality, and at the same time decreases the dose of contrast agent [11]. e IR algorithm receives raw data that can characterize X-ray intensity based on the CT detector, finds the individual pixel values in the image matrix, and reduces the human anatomical structure, which can effectively reduce the patient radiation dose during the CT image reconstruction [12], but there is a problem with large image noise, waiting to be further optimized [13].…”