98%
921
2 minutes
20
With arthroplasty being increasingly used to relieve joint pain, imaging of patients with metal implants can represent a significant part of the clinical work load in the radiologist's daily practice. Computed tomography (CT) plays an important role in the postoperative evaluation of patients who are suspected of having metal prosthesis-related problems such as aseptic loosening, bone resorption or osteolysis, infection, dislocation, metal hardware failure, or periprosthetic bone fracture. Despite advances in detector technology and computer software, artifacts from metal implants can seriously degrade the quality of CT images, sometimes to the point of making them diagnostically unusable. Several factors may help reduce the number and severity of artifacts at multidetector CT, including decreasing the detector collimation and pitch, increasing the kilovolt peak and tube charge, and using appropriate reconstruction algorithms and section thickness. More recently, dual-energy CT has been proposed as a means of reducing beam-hardening artifacts. The use of dual-energy CT scanners allows the synthesis of virtual monochromatic spectral (VMS) images. Monochromatic images depict how the imaged object would look if the x-ray source produced x-ray photons at only a single energy level. For this reason, VMS imaging is expected to provide improved image quality by reducing beam-hardening artifacts.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1148/rg.332125124 | DOI Listing |
Jpn J Radiol
September 2025
Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Background: Stroke, frequently associated with carotid artery disease, is evaluated using carotid computed tomography angiography (CTA). Dual-energy CTA (DE-CTA) enhances imaging quality but presents challenges in maintaining high image clarity with low-dose scans.
Objectives: To compare the image quality of 50 keV virtual monoenergetic images (VMI) generated using Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) algorithms under a triple-low scanning protocol in carotid CTA.
Radiography (Lond)
September 2025
Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China; School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China; Jiangsu Provincial Engineering Research Center for Medical Imaging and Digital Medicine, Xuzhou, Jiangs
Introduction: Carotid artery disease is a major cause of stroke and is frequently evaluated using Carotid CT Angiography (CTA). However, the associated radiation exposure and contrast agent use raise concerns, particularly for high-risk patients. Recent advances in Deep Learning Image Reconstruction (DLIR) offer new potential to enhance image quality under low-dose conditions.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Background: Fat volume fraction (FVF) is an important biomarker for non-alcoholic fatty liver disease. However, current CT-based FVF quantification methods lack sufficient accuracy, particularly at lower FVF values.
Purpose: We aimed to analyze the relationship between FVF and Hounsfield units (HU) in unenhanced fatty lesions and identify optimal settings to minimize FVF quantification errors by comparing virtual monochromatic imaging (VMI) from dual-energy CT (DECT) with single-energy CT (SECT) across different patient sizes.
Med Phys
August 2025
GE HealthCare MICT, Stockholm, Sweden.
Background: Photon-counting computed tomography (CT) bears promise to substantially improve spectral and spatial resolution. One reason for the relatively slow evolution of photon-counting detectors in CT-the technology has been used in nuclear medicine and planar radiology for decades-is pulse pileup, that is, the random staggering of pulses, resulting in count loss and spectral distortion, which in turn cause image bias and reduced contrast-to-noise ratio (CNR). The deterministic effects of pileup can be mitigated with a pileup-correction algorithm, but the loss of CNR cannot be recovered, and must be minimized by hardware design.
View Article and Find Full Text PDFMed Phys
September 2025
Radiation Safety and Quality Assurance Division, National Cancer Center Hospital East, Chiba, Japan.
Background: Magnetic resonance imaging of polymer gel dosimeters remains the de facto standard to obtain high-quality dose information. However, magnetic resonance imaging scanner access is limited and scan times are long. x-Ray computed tomography-based polymer gel dosimeters (XCT-PGDs) offer convenience owing to easier access to CT scanners, especially cone-beam CT (CBCT) scanners integrated with linear accelerators, although they suffer from low dose resolution and high noise sensitivity.
View Article and Find Full Text PDF