A mixed reality display system overlays surgical images onto the patient via a wearable head-mounted device.
Spatial differential techniques normalize scattering biases to determine absolute hemoglobin values.
Agent-based simulators model individual cognitive states to predict future behaviors in crowded environments.
PAS assemblies improve signal-to-noise ratio and enable real-time detection of deep brain structures.
Near-infrared optical sensing measures time-varying hemoglobin signal components to detect tissue anomalies.
A machine learning module segments MRI imaging data to detect and quantify magnetically-labeled cells within biological subjects.
A medical image processing apparatus generates diagnostic images from multiple time-point scans to quantify pixel intensity changes.
A radial arterial spin labeling MRI sequence generates dynamic angiograms and perfusion maps from a single continuous scan.
A surgical assistance system correlates intracorporeal endoscopic images with digital 3D recording data using automated landmark detection for intuitive navigation.
Automated N-CNN monitoring replaces inconsistent manual observer assessments, delivering prompt and consistent pain evaluation while reducing caregiver burden.
Ultrasound bladder vibrometry excites Lamb waves in the bladder wall to estimate viscoelasticity and detect detrusor overactivity.
A magnetic resonance imaging apparatus generates weighted images from undersampled k-space data to accelerate acquisition.
Automated curved image slice rendering generates perpendicular views of the uterine cavity from 3D ultrasound data.
A vasoactive stimulus system paired with an MRI scanner and algorithmic analysis tool.
A semi-automatic Work-Energy Relative Pressure method estimates pressure differences using 4D flow MRI velocity data.
A processor computes eye open ratio and mouth open ratio from facial landmarks to trigger audio or visual alerts.
Modular wearable optics capture fundus images to enable non-invasive home monitoring of retinal inflammation.
Patient-specific sinus-matched leaflets resolve anatomical mismatch by replicating natural root morphology, reducing mechanical stress on the heart.
Modifying a 3D brain model with MR data maps feature points to targets, resolving the trade-off between rapid planning speed and reproducible ablation volumes.