Quantitative validation of data-driven motion correction for brain PET using phantom with motion generator system

Abstract Background Head motion during brain positron emission tomography (PET) degrades image quality and quantitative accuracy. Therefore, a data-driven motion correction (MC) method utilizing ultrafast list-mode reconstruction technology has been proposed and shown to considerably improve image q...

Descripción completa

Detalles Bibliográficos

Autores principales:	Yuto Kamitaka, Muneyuki Sakata, Keiichi Oda, Akie Katsuki, Hirofumi Kawakami, Kei Wagatsuma, Masato Kobayashi, Kenji Ishii
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	SpringerOpen 2025-12-01
Colección:	EJNMMI Physics
Materias:	Head motion Data-driven motion correction Image quality [18F]FDG Amyloid PET Dementia
Acceso en línea:	https://doi.org/10.1186/s40658-025-00820-w
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!