Multidimensional MRI combines T1, T2, diffusion, susceptibility, and proton-density data to identify TAI lesions within mixed voxels.
A smartphone holder, blocked lighting, and polarizing filters create consistent skin images for more accurate analysis.
This case combines stitched skin images with position sensing and light-safety feedback for at-home acne detection and treatment.
Video-based 3D skeleton modeling measures range of motion and guides exercise form with tailored, real-time feedback.
Multi-compartment NODDI MRI separates tissue signals to assess microglial density and monitor acute or chronic neuro-inflammation.
Real-time load, position, and stability feedback helps surgeons adjust ball-and-socket prosthetic joints for alignment and motion.
A catheter deploys a loop to measure the left atrial appendage opening perimeter.
An abnormality detection server processes imaging signals to generate identity data and detect physiological characteristics.
A wearable spectroscopic sensor detects food consumption by analyzing light interaction with body tissue.
A TMS coil embeds imaging cameras to visualize placement directly on the patient head.
Intermediate gradients counteract drift forces to maintain particle position accuracy in liquid matrices.
A kinesitherapy apparatus applies a minus assist load during warm-up to optimize measurement data collection.
Convolutional neural networks classify ophthalmic images using transfer learning to achieve expert-level diagnostic accuracy.
Low coherence interferometry monitors lesion transmurality during radiofrequency ablation, reducing intervention time by verifying electrical isolation.
A sample detection device uses polarized light excitation and emission filtering to isolate signals from background noise.
A derivation unit computes strain correction factors from PET image positional relations to resolve magnetostatic field non-uniformity in MR images.
An MRI computing part generates an edge mask to isolate tissue boundaries and smooth background noise in magnetic susceptibility images.
Multi-voxel 1H MRS maps lactate and choline concentrations onto anatomical images to visualize tumor tissue boundaries.