Fast shading correction for cone beam CT in radiation therapy via sparse sampling on planning CT
Sign Up to like & getrecommendations! Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12190
Abstract: Purpose The image quality of cone beam computed tomography (CBCT) is limited by severe shading artifacts, hindering its quantitative applications in radiation therapy. In this work, we propose an image‐domain shading correction method using planning… read more here.
Keywords: sparse sampling; radiation therapy; shading correction; correction ... See more keywords
Exponential-Reproducing-Kernel-Based Sparse Sampling Method for Finite Rate of Innovation Signal with Arbitrary Pulse Echo Position
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0903-8
Abstract: AbstractAn exponential reproducing kernel (ERK) has been applied to data sparse sampling for finite rate of innovation (FRI) signals with the characteristic of flexible parameter setting in contrast to other sampling kernels. However, the signal… read more here.
Keywords: sparse sampling; pulse echo; reproducing kernel; exponential reproducing ... See more keywords
Novel Circuit Implementation Method for Pulse Signal Finite Rate of Innovation Sparse Sampling Based on an Improved Exponential Reproducing Kernel
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01076-3
Abstract: Finite rate of innovation sampling is a new signal sparse sampling method based on signal information freedom, which can considerably reduce the amount of sampling data. However, the researches on hardware circuit direct implementation of… read more here.
Keywords: implementation method; rate; sparse sampling; circuit ... See more keywords
Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on the detection of degenerative spine diseases
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07278-7
Abstract: Objectives To investigate potential radiation dose reduction for multi-detector computed tomography (MDCT) exams of the spine by using sparse sampling and virtually lowered tube currents combined with statistical iterative reconstruction (SIR). Methods MDCT data of… read more here.
Keywords: sparse sampling; degenerative changes; tube; dose ... See more keywords
The neural correlates of referential communication: Taking advantage of sparse-sampling fMRI to study verbal communication with a real interaction partner
Sign Up to like & getrecommendations! Published in 2021 at "Brain and Cognition"
DOI: 10.1016/j.bandc.2021.105801
Abstract: This paper introduces an innovative functional magnetic resonance imaging (fMRI) protocol to study real verbal interactions while limiting the impact of speech-related movement artefacts. This protocol is based on a sparse sampling acquisition technique and… read more here.
Keywords: sparse sampling; communication; interaction partner; study ... See more keywords
Sound field reconstruction with sparse sampling and the equivalent source method
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.02.031
Abstract: Abstract The equivalent source method is reformulated under the compressive sensing framework for tackling with the spatially extended sound source. The sound field to be reconstructed is first modeled using the equivalent source method according… read more here.
Keywords: source method; sparse sampling; source; sound field ... See more keywords
A Subspace Approach to Sparse-Sampling-Based Multi-Attribute Data Aggregation in IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3161720
Abstract: The emergence of the heterogeneous Internet of Things (IoT) has realized the demand for multi-attribute data collection in response to the increasing demand for information in diverse applications. Sparse sampling has been used to reduce… read more here.
Keywords: sparse sampling; real time; attribute data; multi attribute ... See more keywords
Alpha Matting With KL-Divergence-Based Sparse Sampling
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2718664
Abstract: In this paper, we present a new sampling-based alpha matting approach for the accurate estimation of foreground and background layers of an image. Previous sampling-based methods typically rely on certain heuristics in collecting representative samples… read more here.
Keywords: divergence based; sparse sampling; matting divergence; divergence ... See more keywords
Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment.
Sign Up to like & getrecommendations! Published in 2021 at "Quantitative imaging in medicine and surgery"
DOI: 10.21037/qims-20-1220
Abstract: Background Wasting disease entities like cachexia or sarcopenia are associated with a decreasing muscle mass and changing muscle composition. For valid and reliable disease detection and monitoring diagnostic techniques offering quantitative musculature assessment are needed.… read more here.
Keywords: dose; muscle; assessment; sparse sampling ... See more keywords
Sparse Sampling of Silence Type I Errors With an Emphasis on Primary Auditory Cortex
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2019.00516
Abstract: Sparse sampling functional MRI (ssfMRI) enables stronger primary auditory cortex blood oxygen level-dependent (BOLD) signal by acquiring volumes interspersed with silence, reducing the physiological artifacts associated with scanner noise. Recent calculations of type I error… read more here.
Keywords: sparse sampling; cortex; primary auditory; type ... See more keywords
Predicting Antibiotic Effect of Vancomycin Using Pharmacokinetic/Pharmacodynamic Modeling and Simulation: Dense Sampling versus Sparse Sampling
Sign Up to like & getrecommendations! Published in 2022 at "Antibiotics"
DOI: 10.3390/antibiotics11060743
Abstract: This study aimed to investigate the effect of a structural pharmacokinetic (PK) model with fewer compartments developed following sparse sampling on the PK parameter estimation and the probability of target attainment (PTA) prediction of vancomycin.… read more here.
Keywords: vancomycin; effect; model; simulation ... See more keywords