Model-based reconstruction algorithm in the detection of acute trauma-related lesions in brain CT examinations.
Andrea De VitoCesare MainoSophie LombardiMaria RagusiCammillo Talei FranzesiDavide IppolitoSandro SironiPublished in: The neuroradiology journal (2021)
Model-based iterative reconstruction, offering a higher image quality at a thinner slice, allowed the identification of a higher number of acute traumatic lesions than hybrid iterative reconstruction, with a significant reduction of noise.
Keyphrases
- image quality
- liver failure
- computed tomography
- dual energy
- respiratory failure
- drug induced
- aortic dissection
- spinal cord injury
- machine learning
- deep learning
- white matter
- air pollution
- hepatitis b virus
- loop mediated isothermal amplification
- intensive care unit
- multiple sclerosis
- cerebral ischemia
- real time pcr
- brain injury
- quantum dots