Results 61 to 70 of about 13,919 (263)

MRI of Total Hip Arthroplasty: Successful Ripple Artifact Reduction Using Wavelet Domain Filtering

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Slice encoding for metal artifact correction (SEMAC) is used in MRI for total hip arthroplasties for metal artifact reduction. However, ripple artifacts often arise near the implant, impairing diagnosis in affected regions. Hypothesis Applying a wavelet domain filter (WD‐Filter) might reduce ripple artifacts and improve image ...
Jeanette C. Deck, Sophia S. Goller, Georg W. Kajdi, Adrian A. Marth, Patrick Zingg, Constantin von Deuster, Reto Sutter   +6 more
wiley   +1 more source

The undersampled discrete Gabor transform

IEEE Transactions on Signal Processing, 1998
Conventional studies on discrete Gabor transforms have generally been confined to the cases of critical sampling and oversampling in which the Gabor families span the whole signal space. In this paper, we investigate undersampled discrete Gabor transforms. For an undersampled Gabor triple (g,a,b), i.e.
openaire   +1 more source

Diffusion MRI of the Body: Beyond PGSE‐EPI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Diffusion magnetic resonance imaging (dMRI) is a widely used clinical imaging technique which is sensitive to changes in tissue microstructure including cellularity, perfusion, and tissue damage. DMRI has been used in whole‐body imaging as well as in targeted imaging of every major anatomical region.
Matthew T. Cherukara, Wenbo Sun, David Leitão, Shaihan Malik, Radhouene Neji, Joseph V. Hajnal, Andrada Ianus   +6 more
wiley   +1 more source

Hybrid Oversampling and Undersampling Method (HOUM) via Safe-Level SMOTE and Support Vector Machine

Applied Sciences
The improvements in collecting and processing data using machine learning algorithms have increased the interest in data mining. This trend has led to the development of real-life decision support systems (DSSs) in diverse areas such as biomedical ...
Duygu Yilmaz Eroglu, Mestan Sahin Pir
doaj   +1 more source

Group‐Patch Joint Compression: Compressing Dynamic B0 and Static RF Spatial Modulations Across k‐Space Subregion Groups for Highly Accelerated MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To accelerate MRI further, rapid B0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing ...
Rui Tian, Klaus Scheffler
wiley   +1 more source

Reviving Undersampling for Long-Tailed Learning

Pattern Recognition
The training datasets used in long-tailed recognition are extremely unbalanced, resulting in significant variation in per-class accuracy across categories. Prior works mostly used average accuracy to evaluate their algorithms, which easily ignores those worst-performing categories.
Hao Yu 0027, Yingxiao Du, Jianxin Wu 0001   +2 more
openaire   +2 more sources

Fast Adaptive Undersampling for Volume Rendering

Journal of WSCG, 2019
Adaptive undersampling is a method for accelerating the rendering process by replacing the calculation of a volume integral with an interpolation procedure for a number of pixels. In this paper, we propose a method for accelerating the volume integral calculation for the rest of the pixels, i.e.
Belyaev, Sergey, Smirnov, Pavel, Smirnova, Natalia, Shubnikov, Vladislav   +3 more
openaire   +3 more sources

Localized Quadratic RF Encoded Spin‐Echo With Spiral‐PRIME Reconstruction: A Practical Alternative to 3D FSE for High‐Resolution Volumetric Brain MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy, Julia V. Velikina, James G. Pipe   +2 more
wiley   +1 more source

Classification of Anomalies in Microservices Using an XGBoost-Based Approach With Data Balancing and Hyperparameter Tuning

IEEE Open Journal of the Computer Society
Microservice architecture has emerged as a leading paradigm for decomposing large monolithic applications into smaller, autonomous services. Although this approach offers many advantages, its complexity, distributed nature, and substantial scale create ...
Luis M. Barata, Eurico Lopes, Pedro R. M. Inacio, Mario M. Freire   +3 more
doaj   +1 more source

View Order With Arbitrary Center Echoes

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To provide explicit, vendor‐independent view‐order constructions that enable selection of an arbitrary center echo in multi‐shot imaging, with a focus on RARE and MPRAGE. Methods Vendor‐independent view‐order methods were developed to assign echo and shot indices to a prescribed set of phase encodes, enabling explicit selection of the ...
Henric Rydén, Ola Norbeck, Sophie Schauman, Mikael Skorpil, Adam van Niekerk   +4 more
wiley   +1 more source