Medical Imaging TRIZ Cases

A pontoon-shaped porous SI joint implant improves stabilization through minimally invasive placement while reducing tissue damage and supporting bone ingrowth.

Neural ODE planning uses pre-op imaging to place ablation needles with consistent 5 mm tumor margins while reducing manual planning time.

A tri-mode drill guide and deployment assembly enable posterior SI joint stabilization through a small incision with less tissue disruption.

Multiple inward-facing cameras on a surgical retractor combine proximal, distal, and tool views to expand visibility in minimally invasive surgery.

Overlaying a scout image onto a slice image preserves cross-section alignment and makes image correspondence clear in external records.

A 3D electrode array plus signal extraction and reconstruction algorithms turns EIT data into volumetric thoracic ventilation images.

A rotatable 3D face scanner captures prone-position mesh data and aligns it with medical images for accurate touchless surgical navigation.

Fuses angiography with 3D coronary models and AI-guided treatment pathways to improve PCI lesion selection and risk assessment.

Electromagnetic trigger detection lets surgical tracker emitters pulse with camera exposure, cutting power use, weight, and wiring complexity.

Deep learning maps ultrasound elastography to MRE-equivalent stiffness values, improving follow-up comparability in liver fibrosis monitoring.

Atomic absorption of surgical smoke detects gadolinium in ablation fluid, helping surgeons distinguish tumor tissue in real time.

fMRI maps each patient's phantom limb brain region, then scores VR motion patterns to maximize neural stimulation and improve pain treatment.

Respiratory-motion regions from time-series images and optical flow improve MRI subject position identification when setup and actual posture differ.

Combining OCT, bio-impedance, and Raman data improves non-invasive glucose measurement by correcting tissue variability and fluorescence interference.

K-space continuity analysis helps MRI control re-measure only motion-affected data, cutting scan time while preserving image quality.

MRI-visible trajectory guidance aligns an adjustable delivery channel for precise therapeutic targeting while minimizing damage to surrounding tissue.

Electromagnetic signals passed through brain tissue enable continuous, non-invasive detection of small hemorrhage or edema changes without contact.

Load sensors and machine learning automate patient mobility scoring, reducing caregiver workload and improving timely fall risk detection.

Multi-wavelength NIR LEDs and a CMOS sensor enable noninvasive real-time breast tissue imaging without ionizing radiation.

Automated MRS channel selection, phase correction, and frame editing help identify painful lumbar discs without invasive discography.

Multiplexed LED wavebands and a single-aperture filter-camera setup capture precise multispectral images quickly without disparity correction.

Thermal imaging and FFT analysis track infusion site temperature changes to detect inflammation, edema, and pain early and guide intervention.

Optical-fiber light excites endogenous chromophores to create ultrasound guidance for catheter and needle navigation without fluoroscopy radiation.

Copper-sulfate fiducials on a skull-contoured MRI localizer improve deep brain target registration and reduce distortion in 7T stereotactic imaging.

Zero Echo Time pulse sequences cut acoustic noise and field inhomogeneity artifacts while improving T1-based fMRI sensitivity and spatial specificity.

A tri-mode fixation drill guide creates a precise SI joint pilot opening through a small incision, improving implant engagement while limiting tissue damage.

Tracking markers and image guidance define a precise renal needle path, reducing catheterization and repeated imaging burden.

Co-registered MRS and MRI data turns proprietary brain metabolite scans into spatial maps with clinically relevant ranges for diagnosis and monitoring.

ECGI maps cardiac electrical activity and anatomy to target arrhythmogenic tissue noninvasively, reducing catheter risks and procedure time.

Multi-wavelength photoacoustic spectral imaging separates contrast agent regions from hemoglobin to clarify blood vessel and lymphatic structure.

Real-time analyte testing displays current process names, test results, reference ranges, and historical trend charts for easier result review.

Calculates post-contrast myocardial T1 and optimal inversion time from ECV, hematocrit, and blood T1 values to improve LGE lesion detection.

A 3D coronary model combines lesion geometry with noninvasive FFR to score disease complexity and guide PCI vs. CABG decisions.

Differential switching of photoacoustic probes suppresses hemoglobin background and improves deep-tissue image resolution and sensitivity.

Simultaneous optical and thermal imaging compares contralateral body parts to detect subtle inflammation-related temperature asymmetries.

An adjustable chest-mounted ultrasound kit enables home cardiac scans with real-time remote review, reducing travel and provider dependence.

Laser-acoustic sensing images artery occlusions ahead of the guide wire, enabling safer lumen navigation and controlled plaque opening.

Wearable ECG data and decision engines enable outpatient detection of cardiac conditions and risk without hospital-based analysis.

Dual spectral-band imaging with polarized illumination separates specular and diffuse reflection to measure skin gloss accurately with simpler optics.

Ultra-short echo MRI with SPION contrast enables voxel-wise absolute CBV measurement and clear angiograms while avoiding gadolinium nephrotoxicity.

A webcam captures pulse-wave features and an LSTM model estimates blood pressure continuously without cuffs or wearable sensors.

Inward-facing cameras on a surgical retractor are stitched into a composite view, improving visualization and tool access in minimally invasive surgery.

Real-time baby bed imaging detects abnormal events and care timing to auto-generate accurate records without adding caregiver workload.

Fluorescence-based analyte testing combines non-invasive measurement with real-time result display and charted historical trends for easier monitoring.

Segmented skin spectral analysis separates blood-vessel signals from tissue interference to improve non-invasive analyte testing accuracy.

Fluorescence spectral testing combines local and cloud model updates to improve non-invasive blood glucose accuracy across individual differences.

Infrared grayscale segmentation isolates blood vessels from skin, enabling more accurate non-invasive glucose fluorescence testing across skin tones.

Separating blood-vessel spectra from skin interference improves non-invasive glucose testing accuracy with CNN-based optical analysis.

Infrared grayscale segmentation and UV fluorescence separate vessels from skin across skin tones, enabling accurate non-invasive glucose testing.

User-corrected spectral data retrains a cloud model to improve non-invasive glucose testing accuracy while keeping the device compact.