Cargando…
Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality
The purpose of this study was to investigate whether the novel image-based noise reduction software (NRS) improves image quality, and to assess the feasibility of using this software in combination with hybrid iterative reconstruction (IR) in image quality on thin-slice abdominal CT. In this retrosp...
Autores principales: | Tamura, Akio, Nakayama, Manabu, Ota, Yoshitaka, Kamata, Masayoshi, Hirota, Yasuyuki, Sone, Misato, Hamano, Makoto, Tanaka, Ryoichi, Yoshioka, Kunihiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917298/ https://www.ncbi.nlm.nih.gov/pubmed/31846490 http://dx.doi.org/10.1371/journal.pone.0226521 |
Ejemplares similares
-
Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection
por: Tamura, Akio, et al.
Publicado: (2021) -
Evaluation of peripheral enhancement on contrast-enhanced computed tomography and corresponding pathological findings in colorectal liver metastases after preoperative chemotherapy
por: Tamura, Akio, et al.
Publicado: (2023) -
Deflectometry and image denoising
por: Komander, Birgit
Publicado: (2019) -
Adversarial Gaussian Denoiser for Multiple-Level Image Denoising
por: Khan, Aamir, et al.
Publicado: (2021) -
Denoising Vanilla Autoencoder for RGB and GS Images with Gaussian Noise
por: Miranda-González, Armando Adrián, et al.
Publicado: (2023)