Cargando…
Neural network–based fully automated cardiac resting phase detection algorithm compared with manual detection in patients
BACKGROUND: A cardiac resting phase is used when performing free-breathing cardiac magnetic resonance examinations. PURPOSE: The purpose of this study was to test a cardiac resting phase detection system based on neural networks in clinical practice. MATERIAL AND METHODS: Four chamber-view cine imag...
Autores principales: | Ogawa, Ryo, Kido, Tomoyuki, Shiraishi, Yasuhiro, Yagi, Yuri, Su Yoon, Seung, Wetzl, Jens, Schmidt, Michaela, Kido, Teruhito |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619276/ https://www.ncbi.nlm.nih.gov/pubmed/36325309 http://dx.doi.org/10.1177/20584601221137772 |
Ejemplares similares
-
Reconstruction of cardiovascular black-blood T2-weighted image by deep learning algorithm: A comparison with intensity filter
por: Ogawa, Ryo, et al.
Publicado: (2021) -
Detecting a subendocardial infarction in a child with coronary anomaly by three-dimensional late gadolinium enhancement MRI using compressed sensing
por: Suekuni, Hiroshi, et al.
Publicado: (2020) -
Quantitative circumferential strain analysis using 3-Tesla feature-tracking cardiovascular magnetic resonance in patients with old myocardial infarction
por: Ogawa, Ryo, et al.
Publicado: (2016) -
T1 mapping using a saturation recovery single-shot acquisition at 3 Tesla MRI in differentiation of normal myocardium from hypertrophic cardiomyopathy
por: Ogawa, Ryo, et al.
Publicado: (2016) -
Compressed sensing real-time cine cardiovascular magnetic resonance: accurate assessment of left ventricular function in a single-breath-hold
por: Kido, Tomoyuki, et al.
Publicado: (2016)