Cargando…
The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
ABSTRACT: The first CT scanners in the early 1970s already used iterative reconstruction algorithms; however, lack of computational power prevented their clinical use. In fact, it took until 2009 for the first iterative reconstruction algorithms to come commercially available and replace conventiona...
Autores principales: | Willemink, Martin J., Noël, Peter B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443602/ https://www.ncbi.nlm.nih.gov/pubmed/30377791 http://dx.doi.org/10.1007/s00330-018-5810-7 |
Ejemplares similares
-
The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis
por: van Stiphout, J. Abel, et al.
Publicado: (2021) -
Radiation dose reduction for CT assessment of urolithiasis using iterative reconstruction: A prospective intra-individual study
por: den Harder, Annemarie M., et al.
Publicado: (2017) -
A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis
por: Yan, Chenggong, et al.
Publicado: (2021) -
Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms
por: Oostveen, Luuk J., et al.
Publicado: (2021) -
The effect of iterative reconstruction on computed tomography assessment of emphysema, air trapping and airway dimensions
por: Mets, Onno M., et al.
Publicado: (2012)