Automatic needle detection using improved random sample consensus in CT image‐guided lung interstitial brachytherapy

PURPOSE: To develop a method for automatically detecting needles from CT images, which can be used in image‐guided lung interstitial brachytherapy to assist needle placement assessment and dose distribution optimization. MATERIAL AND METHODS: Based on the preview model parameters evaluation, local o...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Yongnan, Jiang, Shan, Yang, Zhiyong, Wei, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035571/
https://www.ncbi.nlm.nih.gov/pubmed/33764659
http://dx.doi.org/10.1002/acm2.13231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035571/
https://www.ncbi.nlm.nih.gov/pubmed/33764659
http://dx.doi.org/10.1002/acm2.13231

Ejemplares similares