1. Department of Radiology, Peking Union Medical College Hospital, Beijing 100730, China|
2. Canon Medical System (China) Co, Ltd, Beijing 100015, China
Abstract：Objective To explore the value of forward projected model-based iterative reconstruction solution (FIRST) to improve the quality of pancreatic CT images. Methods All patients underwent four-phase scans in the plain, arterial, parenchymal, and delayed phases. Three sets of images were reconstructed from the raw data of the four phases, which were FIRST, adaptive iterative dose reduction 3D (AIDR 3D), and ?ltered back projection (FBP) images. The image’s average CT value, noise index SD value, signal-to-noise ratio (SNR) value and contrast noise ratio (CNR) value and other objective indicators were measured and calculated, the subjective score statistics of the three groups of images were performed respectively. The improvement effect of FIRST on pancreatic CT image quality from both objective and subjective aspects were evaluated. Results The evaluation results of objective indicators showed that the CT values of the four phases of the three reconstruction algorithms were not statistically different (all P>0.05)| SD, SNR and CNR values were all statistically different (all P<0.001). The subjective scoring results showed that the plain scan and delayed phases of FBP reconstructed images could not meet the diagnostic needs, and the rest of the images were in line with the diagnostic needs. The overall score AIDR 3D was higher than FIRST and FBP. Conclusion FIRST technology can signi?cantly reduce image noise compared with AIDR 3D and FBP reconstruction algorithms. In meeting the needs of clinical diagnosis, FIRST technology has more advantages in the objective assessment of pancreatic image quality.
