Cargando…

A noise power spectrum study of a new model‐based iterative reconstruction system: Veo 3.0

The purpose of this study was to evaluate performance of the third generation of model‐based iterative reconstruction (MBIR) system, Veo 3.0, based on noise power spectrum (NPS) analysis with various clinical presets over a wide range of clinically applicable dose levels. A CatPhan 600 surrounded by...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Guang, Liu, Xinming, Dodge, Cristina T., Jensen, Corey T., Rong, X. John
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2016
Materias:	Medical Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874127/ https://www.ncbi.nlm.nih.gov/pubmed/27685118 http://dx.doi.org/10.1120/jacmp.v17i5.6225

Ejemplares similares

Performance evaluation of iterative reconstruction algorithms for achieving CT radiation dose reduction — a phantom study
por: Dodge, Cristina T., et al.
Publicado: (2016)

Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study
por: Minamishima, Kazuya, et al.
Publicado: (2018)

Quantification and homogenization of image noise between two CT scanner models
por: Einstein, Samuel A., et al.
Publicado: (2019)

A stopping criterion for iterative proton CT image reconstruction based on correlated noise properties
por: DeJongh, Ethan A., et al.
Publicado: (2023)

Veo veo en el aire /
por: Pérez Arteaga, Miguel A.

New adaptive statistical iterative reconstruction ASiR‐V: Assessment of noise performance in comparison to ASiR
por: De Marco, Paolo, et al.
Publicado: (2018)

Dose reduction in CT urography and vasculature phantom studies using model‐based iterative reconstruction
por: Page, Leland, et al.
Publicado: (2016)

¿Loque veo ves? ó ¿Lo que ves veo?.
por: Barradas Mendoza, Elba Estela
Publicado: (1999)

Impact of deep learning-based image reconstruction on image quality compared with adaptive statistical iterative reconstruction-Veo in renal and adrenal computed tomography
por: Bie, Yifan, et al.
Publicado: (2022)

Physical characterization of a new CT iterative reconstruction method operating in sinogram space
por: Ghetti, Caterina, et al.
Publicado: (2013)

No veo, no oigo, no hablo : el autismo infantil.
por: Zappella, Michele M.
Publicado: (1992)

Applying a CT texture analysis model trained with deep‐learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis
por: Wang, Qingle, et al.
Publicado: (2022)

Effects of voxel size and iterative reconstruction parameters on the spatial resolution of [Formula: see text] SPECT/CT
por: Kappadath, S. Cheenu
Publicado: (2011)

Practical considerations for noise power spectra estimation for clinical CT scanners
por: Dolly, Steven, et al.
Publicado: (2016)

Dose and blending fraction quantification for adaptive statistical iterative reconstruction based on low‐contrast detectability in abdomen CT
por: Zhou, Yifang
Publicado: (2020)

Joint application of hybrid iterative reconstruction and adaptive filters on neck‐and‐shoulder CT imaging: A clinical evaluation
por: Jin, Wenfeng, et al.
Publicado: (2022)

A pitfall of using the circular‐edge technique with image averaging for spatial resolution measurement in iteratively reconstructed CT images
por: Narita, Akihiro, et al.
Publicado: (2020)

Veo una voz : viaje al mundo de los sordos
por: Sacks, Oliver, 1933-2015
Publicado: (2004)

A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction
por: Hussain, Fahad Ahmed, et al.
Publicado: (2016)

Medical physics 3.0 versus 1.0: A case study in digital radiography quality control
por: Carver, Diana E., et al.
Publicado: (2018)

Ultra‐low dose CT colonography with automatic tube current modulation and sinogram‐affirmed iterative reconstruction: Effects on radiation exposure and image quality
por: Cianci, Roberta, et al.
Publicado: (2018)

Increasing iterative reconstruction strength at low tube voltage in coronary CT angiography protocols using 3D‐printed and Catphan(®) 500 phantoms
por: Abdullah, Kamarul A., et al.
Publicado: (2020)

CARE Dose 4D combined with sinogram‐affirmed iterative reconstruction improved the image quality and reduced the radiation dose in low dose CT of the small intestine
por: Wang, Lin, et al.
Publicado: (2018)

Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction
por: Hong, Jung Hee, et al.
Publicado: (2020)

Improvement of Image Quality Using Hybrid Iterative Reconstruction with Noise Power Spectrum Model in Computed Tomography During Hepatic Arteriography
por: Hamasaki, Hiroshi, et al.
Publicado: (2021)

Veo a Satán caer como el relámpago /
por: Girard, René, 1923-
Publicado: (2002)

Quantitation of clinical feedback on image quality differences between two CT scanner models
por: Bache, Steven T., et al.
Publicado: (2017)

Effect of radiation dose reduction on image quality in adult head CT with noise‐suppressing reconstruction system with a 256 slice MDCT
por: Baskan, Ozdil, et al.
Publicado: (2015)

Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor
por: Biagi, Lyvia, et al.
Publicado: (2017)

Inter‐observer variability in library plan selection on iterative CBCT and synthetic CT images of cervical cancer patients
por: de Hond, Yvonne J. M., et al.
Publicado: (2023)

¿Cómo veo a mi papá? : representación gráfica de la imagen paterna de niños y niñas sonorenses /
Publicado: (2000)

Noise reduction in dual‐energy computed tomography virtual monoenergetic imaging
por: Liu, Chi‐Kuang, et al.
Publicado: (2019)

Automated quality control in nuclear medicine using the structured noise index
por: Nelson, Jeffrey S., et al.
Publicado: (2020)

Signal and contrast to noise ratio evaluation of fluoroscopic loops for interventional fluoroscope quality control
por: Goode, Allen R., et al.
Publicado: (2019)

Image Quality and Radiation Dose in CT Venography Using Model-Based Iterative Reconstruction at 80 kVp versus Adaptive Statistical Iterative Reconstruction-V at 70 kVp
por: Park, Chankue, et al.
Publicado: (2019)

Application of Vendor-Neutral Iterative Reconstruction Technique to Pediatric Abdominal Computed Tomography
por: Lim, Woo Hyeon, et al.
Publicado: (2019)

Energy spectrum CT index‐based machine learning model predicts the effect of intravenous thrombolysis in lower limbs
por: Liu, Rong, et al.
Publicado: (2023)

Novel method to determine recursive filtration and noise reduction in fluoroscopic imaging – a comparison of four different vendors
por: Konst, Bente, et al.
Publicado: (2020)

Noise correlation and its impact on the performance of multi‐material decomposition‐based spectral imaging in photon‐counting CT
por: Tang, Xiangyang, et al.
Publicado: (2022)

Variations in signal‐to‐noise characteristics of tissue‐equivalent attenuators for mammographic automatic exposure control system performance evaluation
por: Morrison, Courtney K., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1s4vkn4b7ivqor8733lfp3dq58