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Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Related Experiment Video

Updated: May 22, 2026

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

SLATE: virtualizing multiscale CT training.

Sourav Mishra¹, Kriti Sen Sharma, Spencer J Lee

¹Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA. sourav@vt.edu

Journal of X-Ray Science and Technology

|May 29, 2012

Summary

This summary is machine-generated.

Virtual reality training for micro- and nano- computed tomography (CT) scanners reduced training time. This approach offers a cost-effective alternative to traditional, hands-on instrument practice.

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Area of Science:

Scientific instrumentation
Virtual reality applications
Advanced imaging techniques

Background:

Traditional training for micro- and nano- computed tomography (CT) scanners relies heavily on hands-on instrument practice.
This method requires direct instructor supervision, increasing operational costs due to instrument maintenance and usage.
High costs associated with maintaining modern tomographic instruments limit extensive training sessions.

Purpose of the Study:

To explore the efficacy of virtual reality (VR) as a supplementary training tool for micro- and nano- CT operation.
To assess the potential for VR-based training to reduce overall training duration and associated costs.
To investigate a novel approach for imparting technical expertise in operating advanced imaging equipment.

Main Methods:

Developed and implemented a virtual reality environment within the Second Life grid for operator training.
Trainees interacted with the virtual environment to learn operational procedures for micro- and nano- CT scanners.
Compared training outcomes and time efficiency against traditional, in-person training methods.

Main Results:

Experimentation demonstrated a reduction in the total training time required for operators.
The VR approach provided a viable method for imparting essential technical knowledge.
Qualitative and quantitative data indicated successful knowledge transfer through the virtual environment.

Conclusions:

Virtual reality training offers a promising avenue for efficient and cost-effective instruction on micro- and nano- CT equipment.
This innovative technique can significantly decrease the time and financial resources needed for operator training.
VR-based training has the potential to become a standard component in the education of scientific instrument operators.