Medical Imaging TRIZ Cases

Variable-TE stack-of-spirals sequences minimize echo time to 50 microseconds, resolving signal decay issues in short-relaxation tissues.

A color camera detects reflected light changes during tissue stimulation to identify functional brain areas.

A processor overlays multiple organ property datasets onto a single anatomical map using distinct visual attributes.

A noninvasive electrocardiographic method estimates cardiac chamber size and mechanical function using 3D high-resolution signal analysis.

Computing system registers CT images to CTA models to identify candidate blood vessel regions for thrombosis detection.

Cross-correlating synthetic sinusoids with principal components resolves pole selection ambiguity in non-contact heart rate estimation.

A detection system captures visible facial expressions and audible vocalizations to determine patient pain levels automatically.

Segmenting and merging k-space data from separate flip angles resolves the trade-off between scan time and image resolution in susceptibility-weighted imaging.

Segmented drill guides create pilot openings for SI joint prostheses, reducing soft tissue damage during stabilization.

Calculates optimal flip angle using tissue parameters to maximize combined SSI MR signal strength and contrast, resolving manual parameter inefficiency.

Virtual trainer optimizer adjusts exercise routines via real-time motion sensing to prevent injuries from excessive exertion levels.

A VIPS headset detects intracranial fluid changes via magnetic phase shifts.

Self-gated retrospective reconstruction extracts cardiac phase signals from undersampled image data to sort arrhythmic beats and improve sampling efficiency.

Automated analysis of cross-sectional area and flow resistance resolves inconsistent stent treatment decisions by quantifying stenosis severity.

A lung MRI method corrects proton density values using image registration to isolate ventilation signals from blood volume changes.

A two-step MRI scanning method uses initial high-quality image data to determine optimized parameters for subsequent lower-quality scans.

Parallel optimization updates OCT dispersion coefficients in real-time, resolving blurring caused by dynamic optical medium changes.

An ultrasound diagnostic apparatus detects subject movement via camera image analysis to generate synchronized display images.

Estimating patient-specific cardiac electrical parameters via simulation to resolve inadequate therapy response prediction.

A vital signs monitoring device adapts imaging parameters using motion data from fitness sensors to extract heart rate and respiratory signals.

QUTE-CE MRI quantifies perivascular space volume for CNS disorder diagnosis, resolving ineffective biomarker reproducibility.

An optical scanning system replaces mechanical impressions with light patterns to resolve the trade-off between measurement precision and device complexity.

A magnetic resonance measurement protocol encodes signal attenuation to correlate diffusion and relaxation characteristics.

Customized graphical user interface optimizes digital pathology image interaction through automated orientation and magnification adjustments.

Machine learning segmentation isolates human regions in thermal images to calculate precise body surface temperature despite nearby heat sources.

Ultrasound decorrelates background photons from the interference pattern, improving signal-to-noise ratio and spatial resolution for brain imaging.

A method uses magnetic resonance data from selected subregions to generate a motion model for correcting emission computed tomography signals.

A machine learning model predicts coronary measures by combining features from non-invasive and invasive medical images.

Calibration factor corrects NIRAF signal intensity variations caused by angular misalignment, improving imaging accuracy in bodily lumens.

A human balance sensor uses frustrated total internal reflection to capture foot pressure distribution images via a transparent glass plate and camera system.

Multi-dye fluorescence imaging system overlays visible spectrum fluorescent data onto far red or near infrared background images.

A display device restricts admissible orientations and scrolling directions to a common set for multiple data sets.

Automated classification models analyze dynamic cardiac motion patterns to resolve diagnosis consistency issues while reducing reliance on expert interpretation.

A stray field non-homogeneous NMR scanner detects changes in bone marrow cellular composition using T1 and T2 relaxation times.

A multimodal neonatal pain assessment system combines facial expressions, crying sounds, body movement, and vital signs for continuous monitoring.

A slice image generation unit creates translucent two-dimensional data layers from sensor inputs to construct three-dimensional objects.

A Medical Co-Processor system correlates multiple data streams to identify deleterious brain activity patterns.

A medical image processing apparatus calculates evaluation values to control display forwarding and reversing speeds for prioritized navigation.

A mobile computing device processes movement data from wearable sensors and image inputs to generate precise gait analysis.

A pulse wave detection apparatus extracts signal intensities from specific frequency bands and calculates weight coefficients to multiply wavelength components.

Bayesian estimation of perfusion indices reduces sensitivity to arterial input delays and noise compared to singular value decomposition methods.

A single scan protocol generates comprehensive imaging data for multiple procedures.

Selective magnetic resonance sampling acquires specific k-values to reduce motion-induced blurring and improve signal-to-noise ratio.