Results 71 to 80 of about 68,766 (311)
Adaptive statistical iterative reconstruction for computed tomography of the spine [PDF]
IntroductionThe utility of evaluating a sagittal view of CT of the spine is well-known. In many clinical cases, the sagittal view includes noise generated from surrounding objects and may degrade the image quality.
Tsuda, M +13 more
core +1 more source
Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case
Visual Computing for Industry, Biomedicine, and Art, 2019 In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise.
Gengsheng L. Zeng, Ya Li, Qiu Huang
doaj +1 more source
Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms
Visual Computing for Industry, Biomedicine, and Art, 2019 We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms.
Gengsheng L. Zeng, Ya Li
doaj +1 more source
Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz +9 more
wiley +1 more source
Reduction of metal artifact in single photon-counting computed tomography by spectral-driven iterative reconstruction technique. [PDF]
PLoS ONE, 2015 The exciting prospect of Spectral CT (SCT) using photon-counting detectors (PCD) will lead to new techniques in computed tomography (CT) that take advantage of the additional spectral information provided.
Radin A Nasirudin +7 more
doaj +1 more source
Mathematics, 2022 Iterative image reconstruction algorithms have considerable advantages over transform methods for computed tomography, but they each have their own drawbacks.
Omar M. Abou Al-Ola +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
Recent Advances in Thoracic X-Ray Computed Tomography for Pulmonary Imaging
Canadian Respiratory Journal, 2014 The present article reviews recent advances in pulmonary computed tomography (CT) imaging, focusing on the application of dual-energy CT and the use of iterative reconstruction.
Bruce J Precious +2 more
doaj +1 more source
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source
Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors
Visual Computing for Industry, Biomedicine, and Art, 2020 The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints.
Gengsheng L. Zeng, Edward V. DiBella
doaj +1 more source