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
- computed tomography
- mass spectrometry
- mental health
- magnetic resonance imaging
- diabetic rats
- adipose tissue
- postmenopausal women
- fluorescence imaging
- dual energy
- weight loss
- bone regeneration