Quantifying lumbar vertebral perfusion by a Tofts model on DCE-MRI using segmental versus aortic arterial input function
Abstract The purpose of this study was to investigate the influence of arterial input function (AIF) selection on the quantification of vertebral perfusion using axial dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). In this study, axial DCE-MRI was performed on 2 vertebrae in each of...
Guardado en:
Autores principales: | Yi-Jui Liu, Hou-Ting Yang, Melissa Min-Szu Yao, Shao-Chieh Lin, Der-Yang Cho, Wu-Chung Shen, Chun-Jung Juan, Wing P. Chan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/73aa328b2a2b40bfafb93affe625b151 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence
por: Shandong Wu, et al.
Publicado: (2017) -
Predictive effect of DCE-MRI and DWI in brain metastases from NSCLC
por: Ye Chengyu, et al.
Publicado: (2021) -
Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.
por: Ty O Easley, et al.
Publicado: (2021) -
Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI
por: Ty O. Easley, et al.
Publicado: (2021) -
Radiomics Analysis of Multi-Phase DCE-MRI in Predicting Tumor Response to Neoadjuvant Therapy in Breast Cancer
por: Shuyi Peng, et al.
Publicado: (2021)