Medical Imaging TRIZ Cases

A body fat measurement apparatus combines 3D imaging with impedance data to calculate subcutaneous and visceral fat amounts.

A processing arrangement combines functional MRI data with cognitive task results to compare patient neurological activity against a normative database.

Three-dimensional MRI pulse sequences acquire volumetric data for gastric motility assessment.

Computational optical diffusion models estimate bilirubin levels from RGB images, bypassing complex hardware and internet dependency.

Electromagnetic tracking measures heart wall motion across cardiac phases, replacing error-prone echocardiography with precise dyssynchrony assessment.

Iterative stochastic perturbation with spatial homogeneity constraints improves IVIM parameter estimation accuracy in low signal-to-noise ratio MRI scans.

Replacing complex lab equipment, a wearable camera analyzes foot marker changes to identify fall risk without expensive hardware.

A camera system generates point clouds to detect neonatal oxygen saturation without contact sensors.

A fluorescence observation device specifies linear patterns in lymphedema regions to guide drainage massage.

Resting-state fMRI processing isolates cerebrovascular reactivity signals from physiological noise using spontaneous breathing variations.

A cardiovascular measurement system extracts quantified left ventricle anatomy from cardiac MRI to generate unique biometric signatures.

Segmenting facial regions reduces computational complexity in real-time thermal image processing, enabling continuous non-invasive respiration monitoring.

A recurrent neural network estimates brain state measurements from functional MRI image features for real-time surgical display.

A venous occlusion sheath passively shunts arterial blood to the jugular vein, enabling retrograde brain perfusion.

A 3D heart electrical conduction model generates patient-specific arrhythmia localization maps using demographic data and ECG recordings.

An extendable arm deploys a second light source to measure consensual responses alongside direct reflexes, enabling precise brain lesion location determination.

Association data maps anatomical regions to mesh properties, reducing manual iterations and errors in finite element modeling.

Segmented handheld OCT probes use sterilizable tips and drapes to resolve stability trade-offs during neurosurgical procedures.

Motion tracking algorithms infer spatial data from standard cameras, eliminating specialized hardware costs while maintaining measurement precision.

Optical coherence tomography imaging combined with branch-dependent hyperemic resistance parameters determines fractional flow reserve accuracy.

A blood vessel image authentication system projects visual markers onto body tissue to capture vascular patterns for identity verification.

Video microscopy and diffuse reflectance spectroscopy quantify capillary density, flow velocity, and oxygen saturation in the conjunctiva.

A blood vessel visualizing device maps radius magnitudes to superimpose thickness distinctions on tomographic images.

A contactless patient monitoring system uses dual imagers and an emitter to capture facial image data for vital signs detection.

A combined PET-EPR system integrates an EPR resonator within a PET scanner to enable simultaneous data collection.

A computational system builds an intracerebral semantic space from training data to estimate new material positions without repeated measurements.

A detection unit fixed to the coil holder measures physical displacement of the support structure.

Quantitative T1 mapping detects 1 mm tumors by measuring SBK2-Tris-(Gd-DOTA)3 retention, overcoming conventional MRI resolution limits.

A physiological measurement system scales detected optical intensities using propagation pathlengths to compensate for tissue variations.

A medical system processor determines suitable patient postures based on subject information and procedure requirements.

Magnetic sensors mounted on movable rails within a holding portion enable precise positioning against living bodies.

A segmented bone prosthesis with helical threaded ends and a central region stabilizes dysfunctional joints through secure mechanical engagement.

Temporal encoding of modulated light resolves tissue absorption and scattering properties without sequential scanning.

Automated contour identification calculates global longitudinal strain and volume, reducing manual user operation burden.

Automated ultrasound system segments images to identify pubic ramus and fetal head landmarks, resolving inter-observer variability in labor monitoring.

Combining shear wave speed values from multiple excitations resolves low resolution and long acquisition time.

A Raman spectrum analyzer extracts user characteristic information from skin molecular data for secure identity verification.

A range sensor mounted on an x-ray emitter captures patient body part coordinates for real-time operator guidance.

Converting MR k-space data into a simple value determines the current motion state, reducing breathing artifacts in PET abdomen scans.

A hyperspectral imaging system uses eight to twelve narrow spectral bands to approximate oxyhemoglobin and deoxyhemoglobin levels.

Integrating a time-resolved single photon photodetector directly into a wearable housing eliminates long optical fiber connections.

Infrared thermography captures facial temperature images to predict hemodynamic state and effort capacity, replacing invasive catheter procedures.

A cardiac MRI pulse sequence employing magnetization transfer or chemical exchange saturation transfer encoding.

Reconstructs electrical impedance state images using covariance matrices and weight vectors derived from instantaneous differential signals.

Spatial frequency domain imaging analyzes modulation decay to quantify fluorophore depth and concentration in scattering media.

A noninvasive method estimates cardiac chamber size and mechanical function using high-resolution 3D orthogonal ECG data analysis.

Computational heart models simulate electrophysiological activity to identify optimal ablation targets before intervention.

Weighing means measure compression forces in mammography apparatuses to balance paddle and detector pressure, reducing patient pain from uneven skin stretching.

A handheld ultra-wideband scanner uses wafer-scale antenna arrays to detect breast tissue anomalies without ionizing radiation.