Reconstruction From Projection TRIZ Cases

Partial angle reconstruction images align features across angular ranges to produce motion-corrected medical scans.

A calibration method uses phantom markers to compute projection errors and update imaging geometry parameters for volumetric systems.

Trapezoidal wave excitation drives magnetic nanoparticle imaging with multi-color quantification capabilities.

A rebinning apparatus converts fan beam projection data to parallel beam format using specific geometric structure parameters of the detector array.

A calibrated 3D model simulates body regions outside the primary field of view, correcting truncation artifacts in MRI and CT scans.

Masking internal representations of augmented reality output projections eliminates virtual content from workspace images.

Iterative correction method determines transverse scattering intensities from reconstructed image data to refine raw projection records.

Variable filter length local tomography reconstructs internal body images using truncated cone-beam projection data and adaptive filtering algorithms.

Real-time encoder and tilt sensor data compensates for mobile CT drive errors, ensuring accurate 3D reconstruction.

A multi-modality imaging system adjusts scan protocols based on detected internal motion levels to generate clearer diagnostic images.

Offline calibration creates a lookup table of actual hole orientations to correct geometric distortions in reconstructed SPECT images.

A magnetic resonance imaging system merges Cartesian and non-Cartesian k-space data to accelerate image reconstruction.

A computed tomography device reconstructs slice images from multiple-row detectors illuminated with different X-ray spectra.

A noise robust decoder reconstructs images from multiplexed sensor data using compressed sensing and support estimation.

Iterative denoising and data consistency compensate for motion artifacts in undersampled k-space acquisitions.

A reference gate selection method uses 4D emission datasets to optimize image registration accuracy.

Virtual frequency selective inversion separates anatomical components by resonance phase differences to invert MR signals without additional RF pulses.

Segmenting raw image data enables parallel processing across multiple units, improving reconstruction speed without increasing system complexity.

A medical image processing device specifies relevant menus based on detected anatomical parts.

Electrical capacitance tomography estimates interfacial areas via hypothetical surfaces, resolving measurement difficulties for heat transfer monitoring.

Iteratively corrects local region images using background projection subtraction to maintain high diagnostic quality.

An AI system processes histo-image frames to identify motion-free reference images for nuclear imaging reconstruction.

An iterative reconstruction algorithm combines ordered subsets with conjugate gradient methods to accelerate computed tomography image processing.

Alternating high and low energy tube voltages reduces transition time, improving spectral separation while minimizing harmful scan dose.

Replacing mechanical gantry rotation with a stationary array of field emission x-ray sources eliminates scanning time and focal spot blurring.

Linearizes polychromatic projection data with an optimal power-law correction to reduce beam hardening artifacts without calibration.

A TOF PET attenuation map reconstruction method uses injected tracer amount to determine the constant shift in the sinogram gradient.

Merging PET and CT boundaries corrects photon scatter misregistration artifacts caused by patient motion during acquisition.

A penetrating radiation imaging system reconstructs object images by calculating statistical parameters from multiple attenuation measurements.

Dynamic manipulator movements enable a single sensor to produce multiple dental projections without a ceph arm, reducing equipment complexity and cost.

Hilbert filtering projection data with antiderivative backprojection and 2D Laplacian computation improves low-contrast soft tissue visualization.

Segmented row processing compensates for detector sensitivity variations to resolve z-axis image non-uniformity.

A masquerading detection system uses plane projective transformation on feature point coordinates from dual-angle images to identify spoofing attempts.

A volumetric CT method expands the reconstruction field-of-view by estimating missing projections from neighboring non-truncated views.

A display device overlays alternative image data on a user's field of vision using facial recognition to compute superimposition regions.

A PET imaging system synchronizes list-mode data using local reference clocks and software algorithms.

Rearranging projection data into a redundant arrangement eliminates real-number arithmetic overhead, accelerating back projection calculations.

Computational repositioning of a 3D anatomical model corrects radiographic views, resolving measurement errors from fixed patient positioning.

Synthetic data generation trains models to eliminate metal artefacts without introducing secondary distortions across diverse anatomical regions.

Homotopic optimization recovers high-quality images from undersampled frequency data, eliminating ringing artifacts and reducing acquisition time.

Estimates optimal regularization parameter beta using multi-scale wavelet transformation for compressed sensing MRI reconstruction.

Reconstructs emission tomography images using raw scan data and magnetic resonance information to build a final attenuation model.

A method for generating 3D image datasets using interpolated projection matrices derived from calibrated phantom positions.

Segmenting imaging data by consistency levels reduces artifacts in reconstructed medical images.

A convolution kernel smooths single scattering distributions based on scattered radiation index values to improve positron emission tomography image processing.

A continuous tomographic image acquisition method integrates X-ray beams during relative source-object-detector movement to compute digital projections.

An axially short calibration phantom enables precise time alignment and crystal efficiency normalization in PET scanners through continuous bed motion acquisition.

A magnetic resonance apparatus selects a second set of data from a first set to reconstruct rapid preview images for operator assessment.

Optimized spatial transformations compensate for patient movement during scanning, eliminating metal marker artefacts in CBCT imaging.

A hybrid iterative reconstruction method segments image data into low and high frequency components.