90 sites compete in low-dose liver lesion detection

Sunday, November 27 | 11:35 a.m.-11:45 a.m. | SSA20-06 | Room S403B
Leading medical and physics societies created a contest to compare iterative reconstruction and denoising techniques in low-dose CT for liver lesion detection. Facilities in 26 countries took up the challenge, according to this presentation from the Mayo Clinic in Rochester, MN.

The U.S. National Institute of Biomedical Imaging and Bioengineering, the American Association of Physicists in Medicine, and the Mayo Clinic hosted a scientific contest that offered the same patient datasets to all participants. The participants were challenged to improve the ability to detect liver lesions in data at 25% of routine clinical doses, wrote Cynthia McCollough, PhD, professor of medical physics and bioengineering at Mayo Clinic.

"Ninety sites from 26 countries enrolled to participate in the challenge, highlighting the appetite for access to patient data among the image reconstruction and noise reduction communities," she said. The presentation will summarize the study design and results, showing images from the top-performing sites.

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