Cargando…
A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers
OBJECTIVES: To evaluate the feasibility of combining compressed sense (CS) with a newly developed deep learning-based algorithm (CS-AI) using convolutional neural networks to accelerate 2D MRI of the knee. METHODS: In this prospective study, 20 healthy volunteers were scanned with a 3T MRI scanner....
Autores principales: | Iuga, Andra-Iza, Rauen, Philip Santiago, Siedek, Florian, Große-Hokamp, Nils, Sonnabend, Kristina, Maintz, David, Lennartz, Simon, Bratke, Grischa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230385/ https://www.ncbi.nlm.nih.gov/pubmed/37086077 http://dx.doi.org/10.1259/bjr.20220074 |
Ejemplares similares
-
Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers
por: Dratsch, Thomas, et al.
Publicado: (2023) -
Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects
por: Fervers, Philipp, et al.
Publicado: (2023) -
Diagnostic value of spectral reconstructions in detecting incidental skeletal muscle metastases in CT staging examinations
por: Lennartz, Simon, et al.
Publicado: (2019) -
Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images
por: Fervers, Philipp, et al.
Publicado: (2021) -
Compressed-sensing accelerated 4D flow MRI of cerebrospinal fluid dynamics
por: Jaeger, Elena, et al.
Publicado: (2020)