All Stories

  1. Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)
  2. A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers
  3. Spatiotemporal Maps for Dynamic MRI Reconstruction
  4. Impact of tissue sample preparation methods on myelin‐sensitive quantitative MR imaging
  5. Multidimensional RF pulse design using auto‐differentiable spin‐domain optimization and its application to reduced field‐of‐view imaging
  6. Impact of Tissue Sample Preparation Methods on Myelin-Sensitive Quantitative MR Imaging
  7. FMCW Inverse Circular Synthetic Aperture Radar Using a Fast Time-Domain Reconstruction
  8. ALPCAH: Subspace Learning for Sample-Wise Heteroscedastic Data
  9. Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications
  10. Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models
  11. Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction
  12. Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction
  13. Fused Multi-Modal Electron Microscopy
  14. Manifold Regularizer for High-Resolution fMRI Joint Reconstruction and Dynamic Quantification
  15. Model‐based reconstruction for looping‐star MRI
  16. A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI
  17. Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions
  18. Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
  19. Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT
  20. Stochastic optimization of three‐dimensional non‐Cartesian sampling trajectory
  21. Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems
  22. Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction
  23. Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
  24. Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)
  25. SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to $^{177}$Lu SPECT Imaging
  26. Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
  27. Focal stack camera: depth estimation performance comparison and design exploration
  28. B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI
  29. Cramér–Rao Bound Evaluations of Compton Imager Designs for Proton Beam Range Verification
  30. Focal stack based image forgery localization
  31. Region of Interest Image Reconstruction for Compton Imaging Using 3-D Position Sensing CdZnTe
  32. Imaging atomic-scale chemistry from fused multi-modal electron microscopy
  33. Poisson Phase Retrieval in Very Low-Count Regimes
  34. Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI
  35. Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction
  36. Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images
  37. Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers
  38. Improved Localization Precision and Angular Resolution of a Cylindrical, Time-Encoded Imaging System From Adaptive Detector Movements
  39. Filtered Backprojection in Compton Imaging Using a Spherical Harmonic Wiener Filter With Pixelated CdZnTe
  40. HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise
  41. High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction
  42. Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network
  43. Optimizing the Efficiency of First-Order Methods for Decreasing the Gradient of Smooth Convex Functions
  44. A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions
  45. Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT
  46. Myelin water fraction estimation using small‐tip fast recovery MRI
  47. DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering
  48. SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models
  49. Ranging and light field imaging with transparent photodetectors
  50. Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
  51. Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms
  52. Simplified Statistical Image Reconstruction for X-ray CT With Beam-Hardening Artifact Compensation
  53. Efficient Regularized Field Map Estimation in 3D MRI
  54. Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models
  55. Optimizing MRF‐ASL scan design for precise quantification of brain hemodynamics using neural network regression
  56. Convolutional Analysis Operator Learning: Dependence on Training Data
  57. Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model
  58. Asymptotic performance of PCA for high-dimensional heteroscedastic data
  59. Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels
  60. PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
  61. Y-90 SPECT ML image reconstruction with a new model for tissue-dependent bremsstrahlung production using CT information: a proof-of-concept study
  62. Adaptive Restart of the Optimized Gradient Method for Convex Optimization
  63. Convolutional Dictionary Learning: Acceleration and Convergence
  64. Image Reconstruction for Limited-Angle Electron Beam X-Ray Computed Tomography With Energy-Integrating Detectors for Multiphase Flows
  65. A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging
  66. Fast Spatial Resolution Analysis of Quadratic Penalized Least-Squares Image Reconstruction With Separate Real and Imaginary Roughness Penalty: Application to fMRI
  67. Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction
  68. Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems
  69. Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
  70. Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers
  71. Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization
  72. On the Convergence Analysis of the Optimized Gradient Method
  73. Optimizing MR Scan Design for Model-Based T1, T2 Estimation from Steady-State Sequences
  74. Undersampled Phase Retrieval With Outliers
  75. Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT
  76. Strategies for improved 3D small‐tip fast recovery imaging
  77. Post-reconstruction non-local means filtering methods using CT side information for quantitative SPECT
  78. Modelling the physics in the iterative reconstruction for transmission computed tomography
  79. Ordered subsets with momentum for accelerated X-ray CT image reconstruction
  80. Accelerated noncartesian sense reconstruction using a majorize-minimize algorithm combining variable-splitting
  81. Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods
  82. Source Detection Performance Prediction for a CdZnTe Array
  83. Image restoration using non-circulant shift-invariant system models
  84. Alternating minimization approach for multi-frame image reconstruction
  85. Fast joint design method for parallel excitation radiofrequency pulse and gradient waveforms considering off-resonance
  86. Regularized MR coil sensitivity estimation using augmented Lagrangian methods
  87. Statistical X-ray CT reconstruction using a splitting-based iterative algorithm with orthonormal wavelets
  88. Benefits of Position-Sensitive Detectors for Radioactive Source Detection
  89. Model-Based Image Reconstruction for MRI
  90. Reducing between scanner differences in multi-center PET studies
  91. Concurrent correction of geometric distortion and motion using the map-slice-to-volume method in echo-planar imaging
  92. Mean position tracking of respiratory motion
  93. On NUFFT-based gridding for non-Cartesian MRI
  94. An Expanded Theoretical Treatment of Iteration-Dependent Majorize-Minimize Algorithms
  95. Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration
  96. Exploring breathing pattern irregularity with projection-based method
  97. Respiratory motion estimation from slowly rotating x-ray projections: Theory and simulation
  98. Iterative RF pulse design for multidimensional, small-tip-angle selective excitation
  99. Dynamic field map estimation using a spiral-in/spiral-out acquisition
  100. Mean and variance of single photon counting with deadtime
  101. Statistical image reconstruction methods for randoms-precorrected PET scans
  102. Spatial Resolution and Noise Tradeoffs in Pinhole Imaging System Design: A Density Estimation Approach