Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

Abstract Background Despite the prevalence of chest CT in the clinic, concerns about unoptimized protocols delivering high radiation doses to patients still remain. This study aimed to assess the additional radiation dose associated with overscanning in chest CT and to develop an automated deep lear...

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Autores principales: Yazdan Salimi, Isaac Shiri, Azadeh Akhavanallaf, Zahra Mansouri, Abdollah Saberi Manesh, Amirhossein Sanaat, Masoumeh Pakbin, Dariush Askari, Saleh Sandoughdaran, Ehsan Sharifipour, Hossein Arabi, Habib Zaidi
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
CT
Radiation dose
Overscanning
Deep learning
Chest imaging
Medical physics. Medical radiology. Nuclear medicine
R895-920
Acceso en línea:https://doaj.org/article/4ea5388abff241518506601516e52064
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https://doaj.org/article/4ea5388abff241518506601516e52064

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