Reconstruction From Projection TRIZ Cases

A Wave-CAIPI reconstruction method assigns k-space lines to bins based on patient movement values for targeted calibration.

A dual-source CT system uses integrating and counting detectors to reconstruct tomographic image datasets from projection data.

Opposite translation of the X-ray source and detector reduces system complexity while compressive sensing reconstructs diagnostic images.

A reconstruction processor executes initial image processing during X-ray scanning to accelerate data acquisition.

A combined sinogram and image domain material decomposition method generates monoenergetic images from spectral computed tomography projection data.

A visualization system varies projection viewing directions to reveal hidden structures in volumetric datasets.

Segmented projection data processing with voxel-dependent scaling accelerates convergence in model-based iterative CT reconstruction.

Fusing primary and secondary imaging data during signal recovery periods reduces scanning time while enhancing image quality.

A medical image processing apparatus generates interpolated projection data to reconstruct images.

Sparse regression reconstructs spatio-temporal images by merging multi-frame data, resolving the tradeoff between temporal and spatial resolution.

An automated system calculates optimal field of view magnification from CAD tolerance data to generate precise measurement plans.

Angular offset sampling enables discrete inverse Radon transform matrix inversion for tomographic image reconstruction.

A CT image processing device synthesizes pseudo projection data using virtual metallic bodies to specify metal positions.

Dynamic reconstruction plane adjustment resolves parallax errors in digital combination images, ensuring accurate representation of complex spinal anatomy.

Self-supervised deep learning upsamples thick 3D medical image slices to restore interslice resolution, eliminating the need for high-resolution training data.

Segmenting CT images into axial sub-images aligns PET data with specific motion phases to resolve respiratory mismatch errors during attenuation correction.

A system generates structural estimates using simulated and real X-ray measurements to improve image quality.

Dynamic image positioning and orientation align virtual overlays with anatomical structures to prevent visual obstruction during surgical procedures.

Weighted pixel projection reduces artifacts and noise in low-dose tomosynthesis by applying similarity-based factors during reconstruction.

Emission imaging data analysis generates displacement curves for amplitude-based respiratory gating, eliminating external monitor requirements.

Image processor determines scout noise signal magnitude to select optimal energy value for monochromatic image generation.

A weighted ramp filter modifies Fourier signals to reconstruct photoacoustic images, resolving cutoff frequency ambiguity that degrades tissue clarity.

A virtual 4D CT image generates phase-matched attenuation correction using sparse low-dose CT data.

Processing circuitry calculates computed diffusion weighted images from multiple axial directions to enhance image quality.

Spectral decomposition of single-source attenuation data eliminates dual-energy hardware complexity while reducing patient radiation dose.

Graphics processing units accelerate SPECT image reconstruction through compressed point-spread function matrices and accumulated attenuation factors.

A focus detection apparatus uses a sliding window with optimized stride to identify medical image targets.

Patch-based low rank regularization updates image data via eigenvalue determination to resolve spatial and temporal resolution contradictions.

A method dynamically adjusts x-ray tube electrical parameters using real-time noise data to maintain optimal image quality.

Computer reconstructs CT images by estimating noise in image space and forward projecting the estimate to modify projection data.

Extends the reconstructable volume along the axial direction by applying weighted backprojection filtration to resolve image artifacts in off-center geometry.

A motion map generation system selects optimal cardiac phases using helically scanned projection data and complementary rays.

A medical imaging display unit presents multiple setting screens in a superimposed layer structure to enable seamless operator switching between parallel subjects.

Non-circular paths track patient envelopes to prevent collisions and enable complete 3D reconstruction.

Spatially variant 3D filter corrects frequency mis-weighting in short-scan cone beam reconstructions, eliminating shading artifacts without full rotation.

Iterative sparsification of projection data and reconstructed images eliminates streaking artifacts from limited view X-ray scans.

A width decision unit determines end portion widths to generate interpolation data for X-ray computed tomography reconstruction.

Shearing the rectangular volume aligns oblique rays with coordinate axes, reducing processing time while maintaining spatial resolution.

A radiation detection processor adjusts gain using counts from multiple energy windows to track peak shifts.

Magnetic resonance elastography measures liver mechanical properties to determine nonalcoholic fatty liver disease activity scores.

Segments k-space data to estimate intermediate images, reducing the parameter space for motion correction and improving diagnostic image quality.

Merging separate gated X-ray volumes resolves incomplete tree information loss, enabling simultaneous occlusion detection.

Processor-controlled filtering reconstructs projection data slice-by-slice in parallel to enable immediate 3D visualization.

A closed form expression determines the penetration term for a pinhole collimator to calculate the system matrix without direct measurements.

Reconstructs digital breast tomosynthesis volumes using variable slice thickness and resolution algorithms tailored to diagnostically relevant information density.

Local parameter adjustment in direct-converting X-ray detectors increases spatial resolution while managing data volume and noise levels.

Symmetric view matching corrects temporal misregistration artifacts in fast kV-switching computed tomography to improve image quality.

A multi-modality imaging system maps image data using motion displacement and phase signals to reduce artifacts.

Rapid X-ray tube voltage switching per view enables dual energy scanning with high temporal resolution.