Back to the list
Congress: ECR25
Poster Number: C-20882
Type: Poster: EPOS Radiologist (scientific)
Authorblock: A. Van Der Most1, C. Balta2, K. Bishop2, J. Heemskerk1, A. J. Van Der Molen1, I. I. A. Dekkers1; 1Leiden/NL, 2Amstelveen/NL
Disclosures:
Arjen Van Der Most: Nothing to disclose
Christiana Balta: Employee: Canon Medical Systems Europe
Kelly Bishop: Employee: Canon Medical Systems Europe
Jan Heemskerk: Nothing to disclose
Aart J. Van Der Molen: Nothing to disclose
Ilona I. A. Dekkers: Grant Recipient: Canon Medical Systems Europe
Keywords: Radioprotection / Radiation dose, CT, CT-High Resolution, Image manipulation / Reconstruction, Equipment, Physics, Quality assurance
Purpose Here we present our initial results of an ongoing With the acquisition of a new CT scanner, our department has access to this new reconstruction algorithm, which has been trained on ultra-high resolution (0.25 mm detector pixel) CT data to reconstruct high-resolution images from CT data acquired at 0.5 mm sampling resolution. PIQE has been optimized for Cardiac, Thorax and Body applications with reconstructs images with 1024 matrix. The results presented here focus on the Cardiac application, which is currently...
Read more Methods and materials Concerns regarding increasing exposure, of both individual patients, as well as the population as a whole, has lead to one of the principal drivers of improvements of CT image quality: a continuous effort to increase CT image quality, while maintaining dose.Improving resolution, by detecting with smaller pixels, or reconstructing smaller voxels, of CT acquisition and CT images, will require an increase of dose, to mitigate the otherwise inherent increase of Poisson noise, as a result of the decreased number of...
Read more Results Images were acquired at dose levels representing low-dose Ca score, low-dose CTA, CTA standard, standard abdomen and high-resolution thorax protocols, and images have been reconstructed for AiCE levels 1, 2, 3 (Mild, Standard, Strong) and PIQE levels 1, 2, 3 (Mild, Standard, Strong).Differences in Hounsfield Units (HUs) between AiCE and PIQE were 4 HUs or less for all inserts and scan and reconstruction settings.For all dose levels the SR-DLR (i.e. PIQE) simultaneously improves MTF resolution (see figs. 2 and 4)...
Read more Conclusion Compared to our standard reconstruction method, Deep-learning-based iterative reconstruction algorithm (AiCE),the new super-resolution deep-learning image reconstruction (SL-DLR) algorithm PIQE can simultaneously improve noise characteristics and image sharpness of CT images at varying dose levels. For both AiCE and PIQE increasing the strength of the algorithm from Mild to Strong suppresses noise at slight cost of resolution, Therefore, for optimal image quality, it might be beneficial to increase the strength of AiCE and PIQE when moving towards lower dose values.
Read more References [1] Nagayama, Y., Emoto, T., Hayashi, H., Kidoh, M., Oda, S., Nakaura, T., Sakabe, D., Funama, Y., Tabata, N., Ishii, M. and Yamanaga, K., 2023. Coronary stent evaluation by CTA: image quality comparison between super-resolution deep learning reconstruction and other reconstruction algorithms. American Journal of Roentgenology, 221(5), pp.599-610, https://doi.org/10.2214/AJR.23.29506[2] Verdun F.R., Racine D., Ott J.G., Tapiovaara M.J., Toroi P., Bochud F.O., Veldkamp W.J.H., Schegerer A., Bouwman R.W., Hernandez Giron I., Marshall N.W., Edyvean S., Image quality in CT: From physical...
Read more
GALLERY