Tomography TRIZ Cases

Enzymatic treatment of milk produces galactooligosaccharides that reduce sugar content while preserving taste and texture.

Preprocessing modules filter dual-energy X-ray datasets before decomposition, resolving overfitting trade-offs in quantitative analysis.

A mobile x-ray system uses a spring-based torque balancing mechanism to reduce motor load on its robotic arm.

Computer-controlled arms adjust gamma detectors based on 3D patient surface data, eliminating manual alignment errors and reducing scanning time.

A maximum drive voltage optimization device adjusts piezoelectric transducer output to maintain target sound pressure levels.

Dual gain control stabilizes silicon photomultiplier signals across wide temperature ranges.

Controller detects radiation source replacement via ID comparison and generates new correction data to prevent image quality deterioration.

A single moving slit diaphragm scans an object while a detector processes radiation intensity above a threshold value.

A SiPM detector saturation handling method adjusts VGA amplifier gain to eliminate invalid energy data.

A controller regulates radiation doses by specifying X-ray parameters based on patient information.

A profile generator defines a dynamic acceptance window to filter extraneous radiation events before image reconstruction.

Nested rotating shells eliminate air gaps between apertures, preventing radiation leakage while enabling precise tumor targeting.

Grouped scintillator elements align perpendicular to a pinhole aperture, reducing parallax effects that degrade spatial resolution in gamma detection systems.

An X-ray restrictor controller adjusts irradiation range based on biomedical signal changes to support real-time radioscopic monitoring.

Position information corrects image displacement during splicing, eliminating the need for synchronized motor timing and speed.

Apparatus acquires images from standard and high-sensitivity cameras, selects detection models by lightness conditions, and specifies imaging range.

Condition-specific calibration curves correct Hounsfield unit mapping errors caused by varying imaging parameters, enabling precise radiation dose calculations.

A radiation detector uses multiple subpixels to generate distinct electrical signals for particle counting and intensity measurement.

Orthogonal magnetometers measure magnetic fields from moving protons to reconstruct trajectories, resolving PET latency and ensuring accurate beam end points.

A prismatoid light guide array redirects photons between scintillator crystals to confine light sharing among nearest silicon photomultiplier neighbors.

Continuous beam deflection angle variation enlarges overlapping regions, resolving the trade-off between spatial compounding effect and temporal responsivity.

A photon-counting x-ray detector captures spatially resolved dose profiles to adjust recording parameters via a trained function.

A CT imaging system uses rotation monitoring to signal preset angles during non-uniform scanning for accurate image reconstruction.

A medical processing unit generates virtual monochromatic X-ray datasets from dual-energy inputs to estimate reference material quantities.

Segmented pixel modules in a semiconductor X-ray detector resolve heat management complexity while maintaining spatial resolution.

An adaptive image processing system adjusts parameters using acquisition data and calibration models to optimize x-ray image quality.

A nuclear imaging system adapts acquisition time using footprint signal-to-noise ratio feedback for optimized data collection.

A tape measure with printed distance marks and a winding mechanism attaches to an X-ray collimator.

Segmented architecture separates the detector array from processing units, resolving contradictions between diagnostic quality and equipment complexity.

Piezoelectric actuators actively adjust steerable X-ray detector modules for precise focal spot alignment.

Simulation images display the projected shielding area to set the irradiation range without unnecessary patient exposure.

Corrects channel gain errors from focal spot misalignment by incorporating static blade sensitivity into reconstruction, reducing image artifacts.

An adaptive four-zone perfusion scan estimates arterial inflow and venous outflow functions using machine learning to time contrast bolus administration.

Multi-voltage threshold sampling identifies piled-up pulses to recover information at low rates, resolving count loss and energy deterioration.

A panoramic X-ray detector uses vertical displacement to approach the imaging target region without contacting the patient shoulder.

Optical sensors and a computing unit guide manual positioning of imaging components, reducing radiation exposure and system costs.

Photography means detects markers on radiation detectors to automatically extract identifying information.

A gamma camera uses a movable pinhole collimator to position the aperture close to tissue for high resolution.

A robotic surgical system mounts a radiation source on the arm and places an imaging receiver on the table to generate transformed radiographic images.

Segmented power sources suspend scanning when the primary battery depletes, preserving data while the secondary unit powers image review.

Two-row alternating carrier modules align photodiode pixels equidistantly, eliminating image distortion from flush assembly gaps.

Bent gratings maintain constant spacing across fan angles, resolving manufacturing complexity while ensuring reliable interferometric operation.

Pulsed x-ray emission and bias voltage modification dissipate polarization and charge trapping, improving image quality.

A diagnostic apparatus transmits combined fundamental and harmonic frequencies to boost echo signal intensity.

Pressure sensors on a sensing guidewire measure blood flow gradients to resolve angiography limitations in assessing clot dissolution.

A digital radiograph marker overlay system places non-lead tags on the detector surface to generate automatic positioning annotations.

A detector pileup model determines dead time and event probabilities to generate component spectra for spectral CT imaging.

A 3D anatomical model integrates fiduciary points and surgical marks using contrast materials to enable precise pre-surgical planning.

Randomized grid motion during emission erases strip images and reduces acceleration stress, enhancing image clarity.