Cargando…

Can use of adaptive statistical iterative reconstruction reduce radiation dose in unenhanced head CT? An analysis of qualitative and quantitative image quality

BACKGROUND: Iterative reconstruction can reduce image noise and thereby facilitate dose reduction. PURPOSE: To evaluate qualitative and quantitative image quality for full dose and dose reduced head computed tomography (CT) protocols reconstructed using filtered back projection (FBP) and adaptive st...

Descripción completa

Detalles Bibliográficos
Autores principales:	Østerås, Bjørn Helge, Heggen, Kristin Livelten, Pedersen, Hans Kristian, Andersen, Hilde Kjernlie, Martinsen, Anne Catrine T
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2016
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994404/ https://www.ncbi.nlm.nih.gov/pubmed/27583169 http://dx.doi.org/10.1177/2058460116645831

Ejemplares similares

Image quality with iterative reconstruction techniques in CT of the lungs—A phantom study
por: Andersen, Hilde Kjernlie, et al.
Publicado: (2018)

Quantitative benchmarking of iodine imaging for two CT spectral imaging technologies: a phantom study
por: Harsaker, Vanja, et al.
Publicado: (2021)

Image texture and radiation dose properties in CT
por: Mozejko, Dawid, et al.
Publicado: (2016)

Improved image quality of low‐dose thoracic CT examinations with a new postprocessing software
por: Martinsen, Anne Catrine Traegde, et al.
Publicado: (2010)

Low-Dose Unenhanced Computed Tomography with Iterative Reconstruction for Diagnosis of Ureter Stones
por: Chi, Byung Hoon, et al.
Publicado: (2018)

Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality
por: Cozzi, Andrea, et al.
Publicado: (2023)

CT image quality over time: comparison of image quality for six different CT scanners over a six‐year period
por: Roa, Ana Maria A., et al.
Publicado: (2015)

CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction
por: Ichikawa, Yasutaka, et al.
Publicado: (2013)

Iterative reconstruction improves image quality and reduces radiation dose in trauma protocols; A human cadaver study
por: Godt, Johannes Clemens, et al.
Publicado: (2021)

100 days with scans of the same Catphan phantom on the same CT scanner
por: Husby, Ellen, et al.
Publicado: (2017)

“Black” and “White” Blood on Unenhanced CT
por: del Marmol, Olivia, et al.
Publicado: (2019)

Model-based iterative reconstruction for reduction of radiation dose in abdominopelvic CT: comparison to adaptive statistical iterative reconstruction
por: Yasaka, Koichiro, et al.
Publicado: (2013)

Model-based iterative reconstruction and adaptive statistical iterative reconstruction: dose-reduced CT for detecting pancreatic calcification
por: Yasaka, Koichiro, et al.
Publicado: (2016)

Statistical iterative reconstruction algorithm for X-ray phase-contrast CT
por: Hahn, Dieter, et al.
Publicado: (2015)

Image Quality in Children with Low-Radiation Chest CT Using Adaptive Statistical Iterative Reconstruction and Model-Based Iterative Reconstruction
por: Sun, Jihang, et al.
Publicado: (2014)

Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone
por: Li, Xiaohu, et al.
Publicado: (2018)

Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
por: Caruso, Damiano, et al.
Publicado: (2021)

Image-Quality Assessment of Polyenergetic and Virtual Monoenergetic Reconstructions of Unenhanced CT Scans of the Head: Initial Experiences with the First Photon-Counting CT Approved for Clinical Use
por: Michael, Arwed Elias, et al.
Publicado: (2022)

Deep learning versus iterative image reconstruction algorithm for head CT in trauma
por: Alagic, Zlatan, et al.
Publicado: (2022)

An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction
por: Hu, Zhanli, et al.
Publicado: (2017)

Motion-compensated scheme for sequential scanned statistical iterative dual-energy CT reconstruction
por: Ge, Tao, et al.
Publicado: (2023)

Three-stage segmentation of lung region from CT images using deep neural networks
por: Osadebey, Michael, et al.
Publicado: (2021)

Quality evaluation of image‐based iterative reconstruction for CT: Comparison with hybrid iterative reconstruction
por: Kawashima, Hiroki, et al.
Publicado: (2019)

Diagnostic accuracy of acute diverticulitis with unenhanced low‐dose CT
por: Thorisson, A., et al.
Publicado: (2020)

Improved image quality in abdominal computed tomography reconstructed with a novel Deep Learning Image Reconstruction technique – initial clinical experience
por: Njølstad, Tormund, et al.
Publicado: (2021)

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction
por: Kaga, Tetsuro, et al.
Publicado: (2022)

Adaptive statistical iterative reconstruction (ASIR) affects CT radiomics quantification in primary colorectal cancer
por: Prezzi, Davide, et al.
Publicado: (2019)

Comparison of kidney densities of cases with urinary dilatation in unenhanced CT scan
por: Yeniçeri, Önder, et al.
Publicado: (2019)

Spatial Distribution of Noise Reduction in Four Iterative Reconstruction Algorithms in CT—A Technical Evaluation
por: Guleng, Anette, et al.
Publicado: (2020)

Evaluation of Abdominal CT Obtained Using a Deep Learning-Based Image Reconstruction Engine Compared with CT Using Adaptive Statistical Iterative Reconstruction
por: Yoo, Yeo Jin, et al.
Publicado: (2022)

Diagnostic Value of Unenhanced CT Attenuation and CT Histogram Analysis in Differential Diagnosis of Adrenal Tumors
por: Szász, Paulína, et al.
Publicado: (2020)

Iterative reconstruction of CT images via Score Function
por: Cong, Wenxiang, et al.
Publicado: (2023)

Unenhanced Spiral CT in Acute Ureteral Colic: A Replacement for Excretory Urography?
por: Ryu, Jeong-Ah, et al.
Publicado: (2001)

Multidetector Computed Tomography for the Assessment of Adnexal Mass: Is Unenhanced CT Scan Necessary?
por: Jung, Sung Il, et al.
Publicado: (2014)

Radiomics Study for Differentiating Focal Hepatic Lesions Based on Unenhanced CT Images
por: Zhao, Xitong, et al.
Publicado: (2022)

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)

Combining Automatic Tube Current Modulation with Adaptive Statistical Iterative Reconstruction for Low-Dose Chest CT Screening
por: Chen, Jiang-Hong, et al.
Publicado: (2014)

Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT
por: Cierniak, Robert, et al.
Publicado: (2020)

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

Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction
por: Sauter, Andreas, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_3nfuud7vb4n9hg4iok11kn330v