Efficacy of the CALM ® Algorithm in Reducing Motion-Induced Artifacts in CBCT Imaging: A Fractal Dimension Analysis of Trabecular Bone.
Yahia H KhubraniHassem GehaRujuta A KatkarTaraneh Maghsoodi-ZahediWilliam MooreAhmed Z AbdelkarimPublished in: Dentistry journal (2024)
motion artifact reduction algorithm can alleviate this impact, though its effectiveness fluctuates depending on the site and degree of motion. This underscores the necessity of factoring in motion and the employment of artifact reduction algorithms during the interpretation of FD analysis outcomes in CBCT imaging. More research is necessary to refine the application of such algorithms and to comprehend their influence on different sites under varying motion degrees.
Keyphrases
- machine learning
- image quality
- deep learning
- high speed
- high resolution
- bone mineral density
- randomized controlled trial
- systematic review
- magnetic resonance imaging
- high glucose
- cone beam computed tomography
- mass spectrometry
- magnetic resonance
- metabolic syndrome
- photodynamic therapy
- diabetic rats
- weight loss
- insulin resistance