All Stories

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