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Description
Brainlab's Elements Contrast Clearance Analysis is an MRI-based technique aimed at distinguishing areas of contrast clearance and accumulation within brain tumor imaging datasets. This advanced high-resolution analysis enhances the understanding required for ongoing evaluations and decision-making across various clinical fields, including radiosurgery, radiation oncology, neurosurgery, neuro-oncology, and neuroradiology. The methodology entails capturing two standard 3D T1-weighted MRIs; the first scan is taken around 5 minutes after administering a standard dose of contrast agent, while the second scan occurs 60 to 105 minutes later. By subtracting the initial series from the subsequent one, volumetric maps are created that clearly identify zones of contrast clearance (shown in blue) against those of contrast accumulation (illustrated in red). These findings empower clinicians to better evaluate the effects of radiation treatment in contrast to potential tumor regrowth, allowing for more educated decisions regarding both initial and subsequent treatment plans. As a result, this analysis not only aids in clinical assessments but also enhances the overall management of patient care in complex cases.
Description
MuSES achieves unparalleled accuracy in electro-optic and infrared renderings through a systematic process that starts with the identification of heat sources like engines, exhaust systems, bearings, and electronic components, followed by a comprehensive in-band diffuse radiosity solution. After establishing your sensor at a specified range, you can render multi-bounce radiance values that have been spectrally summed, utilizing DeltaT-RSS contrast metrics for detailed analysis. If you have a sensor response curve available, simply import it to uncover insights you may have overlooked. With MuSES, you can explore reality in unprecedented detail. The software’s capability extends to comprehensively address physics from heat sources to environmental influences, enabling you to effectively manage thermal signature contrasts and assess control kits essential for low observable design in any geographical context. You can rigorously evaluate heat shields, cooling methods, and camouflage surface treatments for in-band radiance while accounting for atmospheric attenuation along the sensor’s line-of-sight. By prioritizing engineering tasks with MuSES early in your project development cycle, you empower your team to make informed decisions that enhance overall design effectiveness. This foresight can significantly streamline the development process and improve project outcomes.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Brainlab
Founded
1989
Country
Germany
Website
www.brainlab.com/radiosurgery-products/elements/contrast-clearance-analysis/
Vendor Details
Company Name
ThermoAnalytics
Founded
1996
Country
United States
Website
www.thermoanalytics.com/muses
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
