Organ Movement/Changes Detection TRIZ Cases

Segmenting the target region allows real-time image display during scanning, resolving the contradiction between full-scan accuracy and immediate recognition.

Ultrasound imaging combined with computational fluid dynamics derives bladder flow rates and pressures from dynamic voiding data.

Higuchi fractal dimension analysis of ultrasound radio frequency time series data characterizes tissue scattering patterns.

System registers real-time ultrasound with pre-acquired MRI by tracking a stable bone marker, resolving patient movement artifacts during surgery.

A 3D ultrasound system with a needle guide automatically aligns the image plane with the needle insertion path.

Medical image processing circuitry evaluates three-dimensional ultrasonic images to assess implantation states.

Determining circuit analyzes echo signals to identify elements with decreased reception sensitivity in ultrasound transducers.

Ultrasound probe movement detection combines acceleration signals with image patterns to resolve discrimination errors caused by varying tissue characteristics.

An ultrasonic imaging apparatus identifies specific organ vibration modes to calculate natural frequencies and estimate tissue hardness.

Automated ultrasound tissue detection using spatial frequency distribution calculation to differentiate muscular and subcutaneous tissues.

Single-step phase retrieval using spectral detectors resolves low contrast sensitivity without increasing radiation dose.

Segmented ultrasonic sensors transmit acoustic waves in different directions, resolving the trade-off between visualization accuracy and device complexity.

An ADC saturation monitor adjusts analog amplification based on depth-dependent values to prevent signal clipping and preserve dynamic range.

Integrated ultrasound elastography system localizes shear wave measurements in three-dimensional liver anatomy.

Shear wave elastography increases push pulse amplitude and duration to improve signal-to-noise ratio while managing acoustic exposure safety limits.

Mapping depth to a 3D surface while encoding data as color resolves spatial matching errors in multi-modal ultrasound imaging.

Processor estimates measurement item candidates and displays them to resolve conflicts between automation efficiency and measurement accuracy.

Segmenting multi-modality data subsets enables independent display control, reducing screen clutter and operator distraction during procedures.

An annular array transducer maintains constant voxel size throughout the imaging volume.

Protruding acoustic matching member reduces subject discomfort by distributing compression pressure away from concentrated points.

Calculating delay amounts for measurement points generates high-resolution images with uniform noise reduction across the entire imaging area.

Acoustic communication replaces tethered cables, enabling free maternal movement while maintaining reliable health data transmission during water births.

Phase-inverted waveform processing reduces clutter variance in displacement estimates, improving axial resolution and measurement precision.

Automated contour detection normalizes fetal brain volume data to define accurate anatomical planes, reducing manual image acquisition time.

Acoustic radiation force excites microcalcification oscillation, enabling detection without ionizing radiation exposure.

A spiral-wrapped sensor strip with an outward-facing shield layer creates a rotationally-invariant electrical contact point.

Calculating a ratio of spectra from different regions eliminates calibration errors caused by sound speed and attenuation differences.

Acoustic wave image generating apparatus corrects positional deviation in echo signals to produce uniform brightness across imaging depths.

Processor detects similar regions in ultrasound images by analyzing feature information from a set region of interest.

Multi-frequency ultrasound imaging segments nerve bundles and vasa vasorum within adventitia, overcoming occlusion-induced boundary disruption.

A determination unit adjusts detection signal phases to minimize intensity dispersion across tentative velocities for accurate sound speed estimation.

An impulse drive display unit processes ultrasonic image signals to minimize power consumption during real-time tissue imaging.

Automated elasticity image analysis classifies biomedical tissue characteristics using multivariate statistical processing of RF signal data.

An ultrasound apparatus detects microcalcified tissue using a dedicated second pulse to generate clear diagnostic images.

A photoacoustic measurement apparatus uses a diffuser plate and lens system to guide high-energy measuring light through an optical fiber cable.

Acoustic signals echo inside the body to generate characteristic information for estimating vocal tract states.

A medical image processing system calculates first and second similarity metrics to differentiate signal variations between frames.

A flexible ultrasound probe electronically adjusts its scanning plane to maintain treatment instrument visibility.

A minimally invasive catheter integrates forward-directed ultrasound transducers with fiber optic imaging to provide real-time visualization.

Registering ultrasound and CT image data to adjust brightness and colorization, resolving the trade-off between real-time imaging and tissue characterization.

A processor calculates final elasticity values by combining results from distinct shear wave-pass and non-pass regions.

An ultrasonic imaging system calculates tissue viscosity parameters to assess elasticity result reliability.

Automated ultrasound analysis of m-mode images reduces operator variability and improves diagnostic repeatability for cardiac arrhythmias.

A sparse angular plane acquisition method reconstructs three-dimensional elasticity data using multidimensional interpolation.

Automatic anatomical structure recognition reduces manual labelling time and operator dependency in 3D fetal ultrasound biometry.

Optical coherence tomography measures eardrum motion to calculate acoustic impedance, addressing insufficient precision in traditional middle ear testing.

Separating tracking sequences from imaging beams extends the sensor detection region while reducing beamforming parameter complexity.

Ultrasound speckle tracking determines lung volume changes to resolve ventilator-induced injury risks during high-frequency ventilation.