Reconstruction From Projection TRIZ Cases

Multi-source inverse geometry CT systems reconstruct cone-beam projection data using longitudinal weighting to combine offset x-ray beams.

A medical imaging system combines temporal data from a series of 2D projection views with a static 3D reconstruction to generate time-resolved angiographic images.

A CT artifact correction method uses scattering reference signals derived from dual-slit scans to remove X-ray scattering components from raw projection data.

A uniform phantom generates reference images for iterative geometric calibration of positron emission tomography systems.

A data consistency operation enforces alignment between input and reconstructed images.

A control device sets required irradiation positions to capture interference fringe images for super-resolution holography.

Automated 3D scan reorientation shifts axial slices to align flat object surfaces, eliminating slow manual correction errors.

Maps actual collimator hole orientations using vector data to minimize distortions and enhance resolution in reconstructed SPECT images.

A reduced angle system matrix reconstructs images from partial-ring positron emission tomography data using time-of-flight information.

An iterative 3D proton imaging algorithm directly measures relative stopping power to optimize spatial resolution and minimize computational iterations.

RecNet model reconstructs 2D MPI images from 1D signals using domain conversion and UNet networks.

Bidirectional spatial similarity metrics generate synthetic projection images to supplement sparse angular data in tomosynthesis volume reconstruction.

Decomposes image estimation into current and prior data components, quantifying spatial contributions to resolve ambiguity in feature source attribution.

Reconstruction device selects similar sinogram data to remove motion artifacts while preserving original anatomical information.

A spectral reconstruction model maps sparse visibility data to dense Fourier representations using trained machine learning inference.

A projection matrix derived from interference correlation eigenvectors suppresses streak artifacts in MRI coil images.

A cone beam CT guided biopsy system positions a needle within breast tissue using a multi-axis transport module.

Offset detectors capture peripheral anatomy to reconstruct non-truncated images, avoiding truncated cone beam CT scans.

Computational alignment of overlapping sinograms corrects cradle misalignment and differential sag to eliminate image discontinuities.

Master projector coordinates subordinate units via signal transmission to resolve alignment complexity and reduce correction processing time.

Analyzing the center of cardiac mass in CT projection data extracts motion signals without ECG devices, eliminating image artifacts caused by indirect gating.

Synthetic low-energy projection data enhances CT image contrast while minimizing beam-hardening artifacts without increasing radiation dosage.

Assigns depth dimensions to image locations, placing marker fields behind closer terrain features to prevent occlusion and maintain spatial legibility.

A processing system manages acquisition time periods across modalities to generate target images.