Accuracy of digital model generated from CT data with metal artifact reduction algorithm
Abstract This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of metal artifact and model accuracy. Thirty maxillofacial CT scans were randomly sele...
Guardado en:
Autores principales: | Chena Lee, Ari Lee, Yoon Joo Choi, Kug Jin Jeon, Young Hyun Kim, Sang-Sun Han |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/13eec97554a3465d9dba56c852eb96c5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Reduction of metal artifacts from knee tumor prostheses on CT images: value of the single energy metal artifact reduction (SEMAR) algorithm
por: Fang-ling Zhang, et al.
Publicado: (2021) -
Analysis of the mandibular canal course using unsupervised machine learning algorithm.
por: Young Hyun Kim, et al.
Publicado: (2021) -
Analysis of the mandibular canal course using unsupervised machine learning algorithm
por: Young Hyun Kim, et al.
Publicado: (2021) -
Quantitative analysis of metal artifact reduction in total hip arthroplasty using virtual monochromatic imaging and orthopedic metal artifact reduction, a phantom study
por: Mark Selles, et al.
Publicado: (2021) -
Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study
por: Ping Li, et al.
Publicado: (2018)