Image quality and metal artifact reduction in total hip arthroplasty CT: deep learning-based algorithm versus virtual monoenergetic imaging and orthopedic metal artifact reduction.

Mark SellesRuud H H WellenbergDerk J SlotmanIngrid M NijholtJochen A C van OschKees F van DijkeMario MaasMartijn F Boomsma

Published in: European radiology experimental (2024)

• Metal artifacts introduced by total hip arthroplasty hamper radiologic assessment on CT. • A deep-learning algorithm (DL-MAR) was compared to dual-layer CT images with O-MAR. • DL-MAR showed best image quality and diagnostic confidence. • Highest contrast-to-noise ratios were observed on the DL-MAR images.

Keyphrases

image quality
deep learning
total hip arthroplasty
dual energy
computed tomography
convolutional neural network
artificial intelligence
machine learning
magnetic resonance
contrast enhanced
air pollution
photodynamic therapy