Inteum Company
Links
Visible Legacy
RSS
News & Resources
Inteum Company News
Inteum Library
Subscribe
Search Results - transducer+alignment
2
Results
Sort By:
Published Date
Updated Date
Title
ID
Descending
Ascending
Method and Apparatus for Segmentation of Dense MR Images Using Deep Learning with Domain Adaptation (Case No. 2025-208)
Summary: UCLA researchers from the Department of Radiological Sciences have developed a deep learning-based segmentation framework that enables fully automated and reproducible analysis of left ventricular (LV) function in Displacement Encoding with Stimulated Echoes (DENSE) MRI. Background: Myocardial strain is a key metric for analyzing how much...
Published: 8/15/2025
|
Inventor(s):
Xiaodong Zhong
,
Siyue Li
,
Kim-Lien Nguyen
Keywords(s):
acute myocardial infarction
,
adjustable mount
,
aneurysm drainage
,
automatic leveling
,
bedside decisions
,
blood pressure monitoring
,
cardiac cycle
,
Cardiac Electrophysiology
,
Cardiac failure
,
Cardiac Magnetic Resonance Imaging
,
Cardiac MRI
,
Cardiovascular
,
Cardiovascular Disease
,
Cardiovascular Disease Nephropathy
,
cardiovascular diseases
,
cardiovascular monitoring
,
cerebrospinal fluid (CSF) drainage
,
Cine MRI
,
clamp
,
critical-care
,
CSF drainage
,
Deep learning MRI
,
DENSE MRI
,
laser alignment
,
Left ventricular segmentation
,
lumbar drains
,
Motion analysis
,
MRI
,
multiparametric MRI (mpMRI)
,
Myocardial strain
,
non-invasive cardiac monitoring
,
operator variability
,
passive reflective target
,
phlebostatic axis measurement
,
Pseudo-labeling
,
radial MRI
,
Segment Anything Model (SAM)
,
self-leveling system
,
transducer alignment
,
Unsupervised domain adaptation (UDA)
Category(s):
Medical Devices > Cardiac
,
Electrical > Imaging
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Therapeutics > Cardiovascular
,
Therapeutics > Radiology
,
Medical Devices > Medical Imaging > MRI
,
Medical Devices > Medical Imaging
A Compact Alignment Tool for Accurate Hemodynamic Monitoring: CardioAxis (Case No. 2025-294)
Summary: UCLA Biodesign researchers have created a laser-powered, self-leveling device that enables precise intracranial pressure monitoring and accurate phlebostatic axis measurement for hemodynamic monitoring. Background: Hemodynamic monitoring is crucial for measuring the delivery of blood and oxygen throughout the body and provides invaluable...
Published: 8/15/2025
|
Inventor(s):
Sneha Shaha
,
Michael Malig
,
Sukhneet Dhillon
Keywords(s):
adjustable mount
,
aneurysm drainage
,
arterial blood pressure (ABP)
,
automatic leveling
,
bedside decisions
,
blood flow management
,
Blood Pressure
,
blood pressure monitoring
,
central venous pressure (CVP)
,
cerebrospinal fluid (CSF) drainage
,
clamp
,
Continuous blood pressure monitoring
,
critical-care
,
CSF drainage
,
hemodynamic monitoring
,
Hemodynamics
,
intracranial pressure
,
laser alignment
,
lumbar drains
,
operator variability
,
passive reflective target
,
phlebostatic axis measurement
,
pressure sensitive
,
pulmonary arterial pressure (PAP)
,
self-leveling system
,
transducer alignment
Category(s):
Medical Devices
,
Medical Devices > Hospital Systems
,
Medical Devices > Surgical Tools