Breathing motion compensation in chest tomosynthesis: evaluation of the effect on image quality and presence of artifacts.

Maral MirzaiJenny NilssonPatrik SundRauni Rossi NorrlundMicael Oliveira DinizBengt GottfridssonIda HäggströmÅse A JohnssonMagnus Båth Angelica Svalkvist

Published in: Journal of medical imaging (Bellingham, Wash.) (2024)

Compensation for respiratory motion in CTS by excluding projection images may improve the image quality if the motion occurs mainly at the beginning or end of the examination. However, the disadvantages of excluding projections may outweigh the benefits of motion compensation.

Keyphrases

image quality
computed tomography
high speed
dual energy
deep learning
magnetic resonance imaging
convolutional neural network
magnetic resonance
mass spectrometry
machine learning
high resolution
contrast enhanced