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Learning Objectives

At the end of this simulation, you will be able to:

Understand the principles of MRI technology, including the interaction of magnetic fields and radio waves in image generation.
Operate simulated MRI machines, adjusting parameters for optimal imaging results through XR-based interactions.
Learn to identify soft tissue abnormalities and interpret MRI images using virtual analysis tools.
Gain insights into the advantages of MRI for diagnosing various conditions involving soft tissues, brain, spine, and joints.
Practice patient positioning and preparation for MRI scans with guidance from XR simulations, enhancing practical skills.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Magnetic Resonance Imaging (MRI) Overview

Relevant Course Packages All Course Packages →

Corrosion Detection and Prevention

XR-powered simulation for detecting and preventing corrosion in aircraft components. Engage in immersive virtual scenarios to identify corrosion types, apply protective coatings, and restore metal surfaces. Key features include interactive corrosion analysis, advanced cleaning techniques, and innovative protection strategies to ensure long-term component durability.

Process Control and Automation Simulation

Immerse in process control and automation through interactive XR simulations. Work with virtual control panels, automated equipment, and robotic systems to monitor, adjust, and optimize semiconductor fabrication processes, while troubleshooting control issues with precision and efficiency.

Energy Systems and Power Generation

This XR simulation teaches students the principles of energy conversion and power generation systems, including the use of renewable energy sources. Through virtual simulations, students can explore various power generation systems, such as steam turbines, internal combustion engines, wind turbines, and solar panels. Interactive scenarios guide students in analyzing energy efficiency, heat loss, and optimizing power output, with feedback on energy conversion rates, sustainability, and overall system performance.

Plant Biotechnology and Genetic Modification

Discover plant biotechnology and genetic modification through immersive XR simulations, focusing on breeding, genetic engineering, and crop improvement. Apply virtual labs to create genetically modified plants with enhanced traits, explore transformation techniques, and address ethical considerations in GMO development.

Finite Element Analysis (FEA) Simulation

Train students to perform stress, strain, and deformation analysis on mechanical components using Finite Element Analysis (FEA) through immersive XR simulations. The virtual environment allows students to apply loads, constraints, and boundary conditions to 3D models of mechanical components, providing interactive lessons on stress distribution, thermal effects, vibration analysis, and material failure points. Feedback is provided on the structural integrity, safety factors, and optimization of mechanical designs to improve understanding and decision-making in engineering design processes.

Computed Tomography (CT) Simulation

Train students on the operation of CT scanners, patient positioning, and the interpretation of generated images, enhanced with XR-based simulations for hands-on learning.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.