Medical Imaging TRIZ Cases

Elastically stretchable support body with distinct first and second stretch areas adapts to patient contours while maintaining stable reference points.

Handheld optical coherence tomography images donor kidney tissue to quantify microstructures and blood flow in real time.

Segmented acquisition modes reduce scan duration while maintaining diagnostic precision for cardiac strain measurements.

Video microanalysis detects arterial pulsations in microns via a mobile camera, eliminating mechanical cuff complexity while maintaining measurement precision.

A hybrid brain imaging system merges electrical impedance tomography, electroencephalography, and magnetic resonance electrical impedance tomography.

A smartphone telehealth apparatus merges a stethoscope and otoscope with the phone camera for real-time remote diagnostics.

An automated algorithm scores electroanatomical map quality to identify insufficient regions for physician review.

Wavelength multiplexing in a compact handheld spectrometer resolves the trade-off between spectral resolution and instrument size for consumer use.

Embedded accelerometers and gyroscopes track instrument motion to resolve limited surgeon visualization during minimally invasive procedures.

Interferometric micro-Doppler radar captures radial and transversal movements in three-dimensional space.

A multi-target electrical stimulation circuit acquires brain wave signals and outputs phase-locked stimulation via modular adjustment modules.

A wavefront annotation algorithm classifies ECG signals using bipolar and unipolar derivative ratios to detect myocardial activation points.

A portable diagnostic system uses mobile device cameras to capture reaction chamber images for automated test result determination.

Multispectral imaging system combines anatomical and physiological data to resolve motion artifacts in moving tissues.

Algorithm compares MEG waveforms against templates to pinpoint interictal discharge sources, resolving manual search bottlenecks.

A measuring instrument adjusts exposure and sensitivity based on pixel values to capture biological images at optimal frame rates.

Ultrasound probe detects brain tissue pulsations to measure intracranial reserve space, replacing complex MRI equipment and eliminating radiation exposure.

A vitals aggregator combines tagged patient vital information with image data to form a composite display.

DAB-4 linked nitroxide citrate salt provides high relaxivity and rapid diffusion into cartilage, enabling accurate osteoarthritis diagnosis.

Extracardiac ligation via catheters avoids open surgery risks and eliminates intracardiac device clot formation.

Host device converts pixel region PPG signals to frequency domain energy maps for physiological monitoring.

Smartphone-based near-infrared imaging captures finger photoplethysmography signals for hemoglobin estimation.

Sequential hypoxic boluses differentiate arterial and venous regions by exploiting oxygen-hemoglobin dissociation curve variations.

A coherent tomogram system measures phase variations to correct generalized motion artifacts during scanning.

A multi-vital-sign smartphone system captures physiological data using integrated sensors and transmits results to electronic medical records.

Segmented slice coding resolves scanning time versus detection accuracy trade-offs in MRI visualization.

Triangular mesh voltage mapping computes scar burden from electrode potentials, replacing complex MRI systems with portable electrochemical sensing.

A monitoring system combines wearable accelerometers with visual cameras to detect delirium, resolving information gaps caused by busy care provider schedules.

Multi-echo imaging sequences generate magnitude and phase images to reconstruct vessel regions and bleeding susceptibility distributions.

Multispectral OCT imaging identifies amyloid-beta plaques via spectral signatures in discrete retinal layers.

Image processing determines blood velocity from angiographic images to calculate fractional flow reserve without invasive sensor insertion.

A respiration inducing system captures patient images to track breathing patterns and provides real-time visual feedback.

Multi-spectral imaging captures fluorescence signals using bandpass filters, correcting absorption noise for accurate depth resolution.

Structured light generator converts broadband irradiance into beamlet arrays for parallel retinal illumination and spectral detection.

Processor calculates vertical electrode heights above the esophagus to prevent thermal damage without invasive probes.

A gage embedded with x-ray contrast agents measures internal strain within tissue-simulating headforms using fluoroscopic imaging.

Separate transmitting and receiving antennas eliminate switching time delays, enabling precise distance measurements for close-range targets.

An optical measurement system detects refractive index changes in blood vessels using electro-magnetic radiation to determine pressure characteristics.

Computing device generates color intensity signals from transdermal optical data to estimate blood pressure via image processing.

Finite element model maps electrogram data to heart elements, enabling precise atrial fibrillation characterization despite low analysis predictability.

A Work-Energy Relative Pressure method estimates pressure differences using 4D flow MRI velocity data.

Volumetric segmentation recovers lost depth information to detect small duct primary sclerosing cholangitis.

Computer vision analyzes facial expressions to target specific emotions, resolving insufficient accuracy in conventional cognitive bias modification.

Transfer learning trains models on diverse datasets to improve diagnostic accuracy while managing large data volumes.

Deep learning classifiers analyze ECG waveforms to synchronize imaging with the cardiac cycle, eliminating motion artifacts from heart movement.

Incorporating prior knowledge via a non-local means filter enhances signal-to-noise ratio and spatial resolution in arterial spin labeling.