Image quality of neck CTs is improved with the use of model-based iterative reconstruction, compared with 30% adaptive statistical iterative reconstruction.
Model-based iterative reconstruction improves image quality for contrast-enhanced CT of the neck, according to a study published in the American Journal of Neuroradiology.
For this study, researchers from the University of Washington compared image quality of 30% adaptive statistical iterative reconstruction and model-based iterative reconstruction algorithms for the assessment of image quality of contrast-enhanced CT of the neck.
They retrospectively reconstructed neck contrast-enhanced CT data from 64 consecutive patients using the two methods. “Objective image quality was assessed by comparing signal-to-noise ratio (SNR), contrast-to-noise ratio, and background noise at levels 1 (mandible) and 2 (superior mediastinum),” the authors wrote. The images were graded by two independent blinded readers, using a scale of 1 to 5, with grade 5 equal to excellent image quality without artifacts and 1 equal to nondiagnostic image quality with significant artifacts.
The results showed that the model-based iterative reconstruction significantly improved the SNR and contrast-to-noise ratio at levels 1 and 2, compared with the 30% adaptive statistical iterative reconstruction. ”Model-based iterative reconstruction also decreased background noise at level 1, though there was no difference at level 2,” they noted. “Model-based iterative reconstruction was scored higher than 30% adaptive statistical iterative reconstruction by both reviewers at the nasopharynx and oropharynx and for overall image quality and was scored lower at the vocal cords and sternoclavicular junction, due to artifacts related to thyroid shielding that were specific for model-based iterative reconstruction.”
The researchers concluded that the model-based iterative reconstruction offered both improved subjective and objective quality for contrast-enhanced neck CTs, with the additional advantage of reducing radiation dose while maintaining image quality. However, the method does have a “minor downside,” the authors wrote, of having prominent artifacts related to thyroid shield use.
GE HealthCare Debuts AI-Powered Cardiac CT Device at ACC Conference
April 1st 2025Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?
March 21st 2025Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.