All Stories

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