Medical Imaging TRIZ Cases

Detecting life object active states via designated electromagnetic wavebands enables precise cellular-level analysis.

A rotatable refrigerant delivery tube directs gas toward the balloon surface to resolve lesion targeting precision limits in GI tract applications.

A handheld vein detection device integrates bar code decoding and biometric sensors to project patient parameters directly onto the skin.

Non-contact thermal imaging monitors tissue temperature gradients to detect improper cardioplegia perfusion and automatically adjust pump flow rates.

Segmenting detection paths for epithelium, boundary, and stroma regions resolves fluorescence accuracy limits in cervical cancer diagnosis.

Spectroscopic magnetic resonance fingerprinting acquires varied signal evolutions to characterize phosphate metabolites and exchange rates.

Segments vessel walls by extracting outer boundaries from fat images via water-fat separation, resolving inner wall estimation errors.

A magnetic resonance imaging apparatus corrects channel Q values using reflection matrix data to manage specific absorption rate.

A control circuit generates a global bias voltage distributed to multiple optical detectors.

A facial expression analysis system determines botulinum toxin dosing by mapping expressive features to muscle activity patterns.

Optical coherence tomography imaging evaluates stent strut angles to identify accessible cells for guide wire passage.

An endoscope system corrects biometric images using pre-imaging data to verify illumination conditions.

A mammography paddle integrates a laminate to measure breast contact area through capacitance changes.

Augmented reality exercise system overlays 3D graphics on video feeds to guide user movement.

A medical image processing device calculates primary and secondary display control information to generate two-dimensional images at variable speeds.

Automated 3D depth camera system extracts multi-dimensional posture data for objective behavioral module identification.

A depth camera generates a point cloud to detect patient location, preventing unauthorized movement while preserving privacy.

Interferometer detects phase-modulated interference patterns to determine signal decorrelation speed for neural activity identification.

An image controller generates pose commands that maintain instrument visibility, resolving hand-eye coordination challenges in minimally invasive surgery.

A computer-implemented method analyzes brain function using frequency oscillations to determine neuron network structures.

A hyper-spectral MEMS chip acquires anatomical and substance data to generate life quality metrics.

Non-linear optical media converts infrared light to visible wavelengths for silicon-based imaging sensors.

Continuous multi-frequency radiation generates acoustic waves for simultaneous detection, eliminating time-correlated sweeps to accelerate imaging.

Spectral division of photoacoustic signals quantifies optical absorption coefficients independent of fluence variations.

Spectrally-encoded optical polarization imaging visualizes collagen structure to delineate tumor margins, reducing surgical stages and costs.

Electrical impedance tomography using a multi-electrode cuff maps nerve activity without invasive penetration, improving signal-to-noise ratio.

An acoustic coupling member guides waves from the eye to a detector, eliminating anterior segment optical noise and enabling clear fundus imaging.

An intravascular mapping tool collects point cloud data to calculate heart wall strain from distance measurements between map points.

A dedicated spatial navigator isolates B0 drift via frequency analysis to correct temperature measurements during thermal therapy.

Acoustic sensors detect chest surface oscillations to generate vibratory maps, replacing radiation-based imaging and reducing infection risk.

A 3D heart simulation system uses a sensor mesh to track catheter position and electrical impulses during training procedures.

A dual optical coherence tomography system combines high-resolution and deep-field probes to visualize tissue depth.

Automated curvature analysis segments tooth structures from orthodontic mesh data to reconstruct clean digital models.

A manipulable 3D cortical mesh model localizes implanted brain electrodes by accounting for anatomical deformations.

A multispectral sensor captures reflected light at multiple wavelengths to identify oral health characteristics within the mouth.

Arterial oxygen saturation calibrates photoacoustic imaging optical fluence maps for quantitative chromophore concentration.

A navigated brain stimulation system integrates anatomical images with functional data to provide a comprehensive view of brain connectivity.

Chelated ion contrast agents enable simultaneous magnetic resonance and optical imaging through resonance Raman spectroscopy.