Deep convolutional‐neural‐network‐based metal artifact reduction for CT‐guided interventional oncology procedures (MARIO)
Medical Physics2024Vol. 51(6), pp. 4231–4242
Citations Over TimeTop 10% of 2024 papers
Wenchao Cao, Ahmad Parvinian, Daniel A. Adamo, Brian T. Welch, Matthew R. Callstrom, Liqiang Ren, A. Missert, Christopher Favazza
Abstract
The proposed method of image-based metal artifact simulation can be used to train a MARIO algorithm to effectively reduce probe-related metal artifacts in CT-guided cryoablation procedures.
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