Reconstruction From Projection TRIZ Cases
- X-ray Tomosynthesis Reconstruction with Curved Source Trajectories
Stationary detector arrays paired with moving x-ray sources enable continuous 3D reconstruction, eliminating procedure delays from separate processing phases.
- Object Classification via Masked 2D Projection Analysis
A classification system generates masked projections to isolate sub-object characteristics within compound objects.
- Iterative CT Reconstruction with Temporal Voxel Modeling
Temporal voxel modeling reduces motion artifacts in computed tomography by applying dynamic basis functions to track kinetic parameters.
- Multi-Sequence Scanning for Helical CT Overlap Reduction
A multi-sequence scanning method merges overlapping helical CT paths into a single target area to optimize dose efficiency.
- MRI Coil Normalization via Reference Image Masking
A reference image processing method separates signal regions to create a coil normalization map for MRI systems.
- Variable Pitch Spiral CT Image Reconstruction
Weighted back projection corrects variable pitch spiral scanning data for accurate image reconstruction.
- PET Attenuation Map Correction via Movement Status Segmentation
Segmenting PET raw data by movement status enables dynamic attenuation map application, resolving artifacts from patient motion during continuous scanning.
- CT Density Filtering with Local Average Preservation
A filtering method preserves local averages in CT density measurements by distributing error to adjacent pixels.
- 3D PET Image Reconstruction via Symmetry and SIMD
Symmetry properties and SIMD techniques accelerate 3D PET image reconstruction, reducing hours-long processing to minutes while maintaining detection precision.
- Multi-Pinhole Coded Aperture for PET Imaging
Replacing time coupling electronics with a coded aperture mask improves detection accuracy and reduces system costs in positron emission tomography.
- TOF-PET Continuous Bed Motion Rebinning via DMA
A TOF-PET detector array uses a DMA rebinner card to map coincidence event data into projection space, eliminating discontinuous step-and-shoot scanning gaps.
- Tomographic Imaging via Spectral Detection in Charged-Particle Microscopy
Spectral detection provides compositional constraints that reduce sample preparation difficulty and accelerate image reconstruction.
- Temporally Gated 3D Imaging Data Processor
A data processor segments body parts and calculates temporal gating functions for voxels to reconstruct three-dimensional images.
- 3D Blood Flow Imaging for Aneurysm Reconstruction
Segments vessel trees and maps time-series values onto voxels, enabling detailed aneurysm analysis beyond tubular structures.
- Medical Image Noise Reduction Model Training via Phantom Data Synthesis
Synthesizes subject projection data with phantom-derived noise to train machine learning models.
- GAN-Based CT Reconstruction with Gradient Guidance
Gradient guidance in a GAN framework resolves clinical reliability issues by preventing fake details during ultra-high resolution CT reconstruction.
- CNN-Based PET Reconstruction with MRI Guidance
A convolutional neural network combines standard PET and MRI data to generate high-resolution images.
- Automated CT Scan Compliance Verification via Organ Detection
Automated image analysis detects body volumes and organ presence in CT scans, resolving the trade-off between manual verification accuracy and processing time.
- CT Correction Apparatus for Beam Hardening Artifact Reduction
A correction apparatus uses a linear absorption coefficient model to process projection images.
- Ultrasound Image Reconstruction Using Trained Non-Linear Mapping
A trained non-linear mapping reconstructs low-quality ultrafast ultrasound images into high-quality outputs.
- CT Truncation Artifact Correction via Iterative Boundary Estimation
Iterative boundary estimation refines patient outlines to correct CT image reconstruction.
- Garment Pattern Drafting Using 2D Image Slices
A garment pattern drafting system maps metric computational rules to two-dimensional image slices of a human form for precise panel dimensioning.
- Parametric PET Reconstruction with Continuous Bed Motion
A parametric PET reconstruction method records bed position and time to calculate slice acquisition times for accurate image generation.
- CT Reconstruction Neural Network for High Pitch Artefact Correction
A neural network processes CT X-ray data to generate slice reconstruction images.
- Helical CT Image Reconstruction Using Discrete Focal Lengths
A helical computed tomography reconstruction method interpolates views into circular scan sinograms for backprojection operations.
- Iterative MR Reconstruction Using Offset Slices and Cost Functions
Undersampled raw data reconstruction using iterative algorithms with offset slice geometry.