.png){kind=icon}
.png){kind=icon}
Return
Diffusion Model-Based Motion Correction in Portable Computed Tomography for Brain: A Human Observer Study
.png){kind=icon}
OA
AI
DOI：10.1016/j.acra.2025.12.028.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To evaluate the clinical performance of a diffusion model-based motion correction algorithm for portable brain CT.
Keywords:
ACR
American College of Radiology
ASPECTS
Alberta Stroke Program Early CT Score
CNN
Convolutional Neural Networks
CT
Computed Tomography
EDH
Epidural Hematoma
EDM
Elucidated Diffusion Model
GPU
Graphical Processing Unit
ICC
Intraclass Correlation Coefficient
ICU
Intensive Care Unit
IPH
Intraparenchymal Hematoma
IVH
Intraventricular Hemorrhage
MAM
Motion Artifact Metrics
NRI
Net Reclassification Index
PAR
Partial Angle Reconstruction
SAH
Subarachnoid Hemorrhage
SDH
Subdural Hematoma
Portable Brain CT
Motion Correction
Diffusion Model
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.9
Papers:
8.7K
Citations:
1.0W
View more organizations