modelbased iterative reconstruction algorithm (Siemens Healthineers)
86
Structured Review
Siemens Healthineers
modelbased iterative reconstruction algorithm
Modelbased Iterative Reconstruction Algorithm, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/iterative+algorithm/algorithm+dd+density+direct+reconstruction/pm41125464-42-47-52
Average 86 stars, based on 1 article reviews
Modelbased Iterative Reconstruction Algorithm, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/iterative+algorithm/algorithm+dd+density+direct+reconstruction/pm41125464-42-47-52
Average 86 stars, based on 1 article reviews
modelbased iterative reconstruction algorithm - by Bioz Stars,
2026-09
86/100 stars
Images
Related Articles
Injection:Article Title: Reverse Lymphatic Flow in Lower Extremity Lymphedema Visualized on Single-Photon Emission Computed Tomography—A “Downflow Effect” Article Snippet: .. Image reconstruction was performed using Flash 3D (Siemens Healthineers), an iterative reconstruction algorithm with Article Title: Reverse Lymphatic Flow in Lower Extremity Lymphedema Visualized on Single-Photon Emission Computed Tomography-A "Downflow Effect". Article Snippet: .. Image reconstruction was performed using Flash 3D (Siemens Healthineers), an iterative reconstruction algorithm with other:Article Title: Model observer task-based assessment of computed tomography metal artifact reduction using a hip arthroplasty phantom. Article Snippet: A second Article Title: Physics-informed model-based generative neural network for synthesizing scanner- and algorithm-specific low-dose CT exams. Article Snippet: Funding information National Institutes of Health, Grant/Award Number: R01 EB017095 Abstract Background: Accurate low-dose CT simulation is required to efficiently assess reconstruction and dose reduction techniques.. Projection domain noise insertion requires proprietary information from manufacturers.Analytic image domain noise insertion methods are successful for linear reconstruction algorithms, however extending them to non-linear algorithms remains challenging.. Emerging,deep-learning-based image domain noise insertion methods have potential, but few approaches have explicitly incorporated physics information and a texture-synthesis model to guide the generation of locally and globally correlated noise texture. Article Title: Comprehensive CT study to assess local and systemic involvement in patients with infective endocarditis: experience from a multidisciplinary team of a tertiary referral center. Article Snippet: Purpose To evaluate the value of a computed tomography (CT) protocol, including ECG-gated cardiac angiographic and venous phase, in patients with infective endocarditis (IE).. Material and methods From January 2019 to October 2022, consecutive patients with IE submitted to total-body CT, including ECG-gated cardiac acquisition in angiographic and venous phase, were enrolled.. Transesophageal echocardiography was performed in all cases. |