Medical Imaging TRIZ Cases

A head-mounted contact PPG device pairs with a camera to capture imaging signals, correlating both data streams for reliable physiological detection.

A cardiac electrophysiological mapping system re-meshes irregular input data into regular polygons to calculate local activation times.

A magnetic resonance imaging system calculates a two-dimensional phase map from main imaging data to correct Nyquist ghosts without reference scans.

A binomial RF pulse sequence prepares magnetization vectors to separate NMR species signals.

MRI pulse sequence nulls blood and myocardium signals, resolving insufficient contrast in thin cardiac structures.

Computer vision analyzes facial features via FACS to resolve subjective assessment inconsistencies.

Ultrasound detects optic nerve sheath distortions to monitor intracranial pressure, enabling early mild traumatic brain injury diagnosis.

Perpendicular ultra-high b-value gradients suppress hindered extra-axonal signals to quantify axonal loss and demyelination without invasive procedures.

Time-gated cameras measure photon arrival times to localize tumor depth, overcoming scattering limits that degrade standard fluorescence imaging.

A multi-wavelength light source paired with dual processing circuits generates simultaneous normal and narrow band imaging frames.

A photoacoustic imaging system converts electromagnetic excitation into acoustic signals to analyze tissue properties.

A multi-physics heart model generates patient-specific simulations using clinical data.

Magnetic resonance fingerprinting radiomics extracts quantitative tissue properties to segment peritumoral white matter regions.

Replacing separate sensors with one imaging module reduces assembly complexity while maintaining recognition accuracy across different wavelengths.

Phase-stabilized complex decorrelation stabilizes optical coherence tomography phase signals using bulk motion compensation.

A neutral contrast magnetic resonance imaging pulse sequence generates similar signal intensity from soft tissues to isolate vascular calcifications.

A photonic probe apparatus integrates optical detection and fluorescent marking to classify precancerous tissue.

Variable flip angle acquisition merges T1, T2, and MRA data into one scan, reducing radiation exposure and improving measurement completeness.

An optical coherence tomography apparatus replaces subjective visual inspection with quantitative measurements of plaque thickness, area, and volume.

A processor maps tracked surgical tool coordinates to a camera field of view, displaying virtual navigational overlays on the optical image.

A functional magnetic resonance imaging phantom uses a BOLD simulation module to provide high morphological brain imaging.

Segmented elongated members enable posterior trajectory placement, reducing tissue damage and neurovascular risk during SI joint stabilization.

Dual sensors measure instrument and tissue positions to calculate distances, compensating for deformation during minimally invasive resection.

A multispectral imaging system integrates blood flow visualization and oxygen saturation data to detect vascular disease.

A medical image processing device collects and displays usage information for automatic execution tasks.

A sensor-based system processes neurological data using machine learning models to detect stroke symptoms.

Automated GUI displays visualize brain parcel connectivity metrics, reducing manual inspection time while maintaining diagnostic accuracy.

Projected pattern sequences eliminate physical markers to reduce preparation complexity while maintaining submillimeter measurement precision.

Depth imaging system processes thoracic volume sequences to identify breathing patterns, eliminating patient discomfort from contact sensors.

A skin diagnostic system applies image processing filters to user images, generating simulated visual results based on database parameters.

Segmented tubes and dynamic frequency analysis resolve precision limits on small surfaces, enabling accurate emotion recognition across 0.01 to 10 Hz.

Multi-scale decomposition and self-supervised neural compression extract unknown brainwave signatures from severe noise without prior signal knowledge.

Blue light excites coproporphyrin III in microcomedones, enabling detection of invisible lesions through green-filtered imaging.

A biological information acquisition device extracts AC and DC components from spatiotemporal video data to estimate blood oxygen saturation levels.

Local regional heterogeneity measures from functional MRI detect asymptomatic neurodegenerative disease stages before clinical symptoms appear.

An anatomical cardiac model adapts to projection images to determine surface electrode positions for electrical activity mapping.

Cine phase contrast MRI determines precise corrective vectors for cervical spine alignment.

A skin detection device uses polarizers and LED light boards to capture high-resolution reflective images of user skin.

Laser speckle imaging captures optical data to generate quantitative microcirculation maps for continuous blood flow monitoring.

Inward-facing head-mounted cameras analyze facial skin images to calculate blood pressure via pulse arrival time, replacing uncomfortable cuff-based devices.

Periodic modulation enables lock-in detection to extract weak signals from noise, overcoming limited photon budgets in deep tissue imaging.

A T2*-weighted MRI sequence uses inversion recovery pulses to suppress cerebrospinal fluid signals and enhance cortical lesion visibility.

A steerable catheter delivers electrical pulses to the pituitary gland via the cavernous sinus.

Fiber optic sensors measure soft tissue pressure and temperature to prevent ischemia caused by tight casts.

A handheld multispectral imaging device produces high-resolution three-dimensional skin tissue images using broadband and coherent light sources.

An MRI apparatus determines imaging propriety before execution to enable uninterrupted multi-protocol scanning.

A machine learning model processes patient questionnaire answers and unprocessed MRI data to output a mental health indication.

MRI intensity ratios map AC conductivity to optimize TTField electrode placement without tissue segmentation.

Camera-based optical systems extract photoplethysmography waveforms and optical flow data, resolving device complexity constraints in remote care settings.