All Stories

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