Organ Movement/Changes Detection TRIZ Cases

Mirroring visible ultrasound data reconstructs hidden ice ball geometry, resolving acoustic shadowing to prevent healthy tissue damage.

Curved offset surface reduces acoustic path length and energy loss while maintaining contact properties.

An ultrasound tracking system replaces invasive pin-based methods with acoustic imaging to eliminate patient discomfort while maintaining surgical precision.

Control circuitry transmits line delay data to ultrasonic probes, resolving high communication data amounts in large two-dimensional arrays.

A medical imaging system reconstructs 3D volumetric images from 2D fluoroscopy data to guide interventional devices through patient anatomy.

A system and method determine viscoelastic parameters using local creep response analysis.

A stabilizer maintains the angled wall orientation against flat skin, resolving instability that degrades ultrasonic transmission during cannula insertion.

Optical sensors on the ablation needle measure reflectance spectra to distinguish tumor from healthy tissue, preventing heat propagation damage.

A determining circuit assesses echo signals from individual transducer elements to identify sensitivity decreases.

A segmented needle tube with a distal slit expands lumen volume for tissue sampling.

Automated detection of missing acoustic matching members prevents unclear ultrasound images caused by application omissions.

An automated apparatus integrates ultrasound imaging and robotic surgical blades to perform precise tissue dissection.

Wireless heart rate monitor provides pulse signal for ultrasound phase identification.

A method calculates signal image values within window blocks to generate an ultrasound scatterer mode image using a color scale.

A two-dimensional ultrasound transducer array captures reflection data to generate three-dimensional anatomical images.

Color-coded body marks indicate completed and pending examinations, resolving operator errors from complex selection sequences.

Shift-type reception apodization calculates multiple reflection positions and applies asymmetric weighting to reduce artifacts without amplitude loss.

Wavelet-domain neural networks restore diagnostic ECG features while removing motion artifacts without increasing processing complexity.

Multimodal learning extracts disease features from echocardiogram videos using optical character recognition and convolutional neural networks.

Capacitive touchpad on ultrasound probe detects sliding gestures to adjust imaging parameters without repositioning the hand.