Organ Movement/Changes Detection TRIZ Cases

Ultrasound sensor arrays generate navigators from received signals to reduce image artifacts caused by patient motion during cardiac and respiratory cycles.

Integrating a single ultrasound transducer into a laparoscopic instrument to generate real-time tissue echoic representations.

A boundary distinguishing unit uses adjacent clear sound ray signals as references to determine unclear boundary depth positions.

A vacuum mammography device uses a conforming mesh to pull breast tissue against sensors for detection.

High-velocity polymeric lenses resist wear from coarse hair and dirt in veterinary applications while maintaining spectral resolution.

Automated AI algorithms analyze images from the conforming array to detect heart defects without trained operators.

MRI-based activation mapping identifies electrical rotors and focal beats to guide targeted ablation for complex heart rhythm disorders.

A flexible ultrasound transducer array monitors maternal and fetal heart rates simultaneously on a single wearable substrate.

A controller displays a safe zone on the intra-atrial septum by defining an offset plane parallel to the mitral valve annulus.

A photoacoustic endoscope uses an overlapping light diffuser and array transducer to resolve illumination uniformity issues within a miniaturized probe.

A two-dimensional flat array of micromachined ultrasound transducers uses electronic beam steering to generate multiple signals at different angles.

A diagnostic apparatus adjusts frame intervals based on tissue movement to maintain measurement accuracy.

Transmitting ultrasound beams twice with selective element activation to extract nonlinear components for improved image quality.

Ultrasonic imaging acquires average brightness from attached gingiva to determine oral indicators, replacing complex manual probing with objective data.

An automated ultrasound system dynamically adjusts zoom box sizing and tracks fetal position in real-time to streamline nuchal translucency measurements.

Relocating switching circuit to probe grounds unused transducers, eliminating residual signals from asymmetrical pulses during harmonic imaging.

Elasticity calculation units derive tissue rigidity from distortion changes to generate diagnostic images.

Segmenting scan images via a chest wall model excludes rib artifacts, reducing false positives in automated lesion detection.

Mechanically shifting the probe synthesizes signals across positions, resolving small aperture limits that degrade image resolution.

An AI model analyzes ultrasound images to identify anatomical targets, reducing clinical time during needle procedures.

Navigation software detects fiducial markers to register medical probes, compensating for patient motion errors during MRI-guided interventions.

A 4D ultrasound catheter registers multiple images over time to estimate three-dimensional tissue displacements and mechanical strains.

Segmented internal buses transfer control parameters to processing circuitry interfaces in parallel.

Integrating a marking unit into the ultrasound transducer housing maintains real-time imaging reference while enabling accurate needle placement.

Automated scan protocol module coordinates contrast delivery with peak enhancement timing to resolve manual estimation errors and improve image quality.

Ultrasound transducer switches from imaging to Doppler mode, resolving placement accuracy issues caused by maternal movement or multiple fetuses.

Segmenting the imaging period into fixed windows with a preliminary projection template preserves time information and improves small vessel visualization.

Automated transducer movement eliminates technician dependence variability while providing high-contrast tissue differentiation.

Extracting essential transducers from the IVUS array lowers device complexity and manufacturing costs while maintaining clinical measurement precision.

Segmented body marks with highlighted target areas resolve contradictions between device complexity and examination accuracy.

Ultrasound imaging systems automatically extend image acquisition to meet minimum sequence lengths for quantitative analysis.

Processing multiple ultrasound pulses to generate IQ data sets and determine physical characteristics via phase lag analysis.

Transient elastography measures tissue rigidity to quantify inflammation activity, avoiding sampling errors and enabling continuous monitoring.

A wireless ultrasound probe adjusts compression ratios based on inspection modes to maintain image quality.

A controller stores change and use history of user presets to determine highly reliable settings for display.

Compound ultrasound frames acquired at varying beam orientations to boost needle signal intensity while suppressing random noise for accurate detection.

Automated ultrasound system generates correlation coefficient maps to distinguish fluid from tissue, reducing operator dependence and detection time.

An ultrasonic imaging device extracts heart shape and eigen-vibration frequencies to calculate myocardial stiffness.

Sinusoidally modulated push pulses generate narrowband shear waves, eliminating transient measurement biases and device complexity.

Machine learning model highlights relevant image components in real-time ultrasound sequences, reducing diagnostic errors from inexperienced operators.

Structured probe cap generates ultrasound image artifacts enabling machine learning detection of transducer rotational position and failure prevention.

Segmented aperture transducers exclude shallow dead zones to improve diagnostic accuracy while reducing power consumption.

A rotatable transducer catheter enables precise three-dimensional imaging within small body conduits.

Camera unit calculates puncture needle length via image analysis, eliminating manual measurement errors during ultrasound procedures.

A confocal ultrasound transducer emits and receives signals from the same side to enable precise acoustic emission detection.

Sound wave reflection detects tracheostomy tube obstruction sites, enabling timely sputum suction and preventing respiratory distress.

Image processing circuitry records ultrasound images alongside video of probe manipulation to compose composite screens.

A rendering unit selects and displays elasticity value data within a desired operator-defined range to produce clear three-dimensional images.

Networked medical image capture apparatuses share setting information while preserving intrinsic device data through processor-based rewriting.