Determination of a suitable low-dose abdominopelvic CT protocol using model-based iterative reconstruction through cadaveric study.

Fiachra MoloneyMaria TwomeyDaniel FamaJoy Y BaltaKarl JamesRichard G KavanaghNiamh MooreMary Jane MurphySiobhan M O'MahonyMichael M MaherJohn F CryanOwen J O'Connor

Published in: Journal of medical imaging and radiation oncology (2018)

This cadaveric study demonstrates that MBIR reduces image noise and improves image quality in abdominopelvic CT images acquired with dose reductions of up to 62%.

Keyphrases

image quality
low dose
computed tomography
dual energy
deep learning
randomized controlled trial
high dose
air pollution
convolutional neural network
machine learning
solid phase extraction
positron emission tomography
high resolution
pet ct