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Updated: Jun 18, 2026

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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Compressive sampling based interior reconstruction for dynamic carbon nanotube micro-CT.

Hengyong Yu¹, Guohua Cao, Laurel Burk

¹Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA. hengyong-yu@ieee.org

Journal of X-Ray Science and Technology

|November 20, 2009

Summary

This summary is machine-generated.

This study introduces a novel method for mouse cardiac imaging using carbon nanotube (CNT) based micro-CT and compressive sampling (CS) interior tomography. The technique enables detailed cardiac imaging without prior region knowledge, validated by simulations and in vivo studies.

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Area of Science:

Medical Imaging
Biomedical Engineering
Materials Science

Background:

Advancements in computed tomography (CT) include carbon nanotube (CNT) field emission X-ray technology.
Compressive sampling (CS) based interior tomography is an emerging innovation in image reconstruction.

Purpose of the Study:

To apply CS interior tomography to mouse cardiac imaging using CNT-based micro-CT.
To develop a novel imaging technique for high-resolution cardiac visualization in small animals.
To validate the method using respiration and cardiac gating.

Main Methods:

Integration of CNT-based micro-CT scanner with CS interior tomography.
Application of respiration and cardiac gating for motion artifact reduction.
Utilization of two orthogonal scout projections for reconstruction regularization.
Demonstration without requiring exact prior knowledge within the region of interest (ROI).

Main Results:

Successful application of the combined CNT-based micro-CT and CS interior tomography for mouse cardiac imaging.
Feasibility demonstrated through numerical simulations and in vivo mouse studies.
Effective cardiac and respiratory gating achieved for improved image quality.

Conclusions:

The developed method offers a promising approach for non-invasive mouse cardiac imaging.
The technique's ability to reconstruct images without prior ROI knowledge is a significant advancement.
This innovation holds potential for preclinical research and cardiovascular studies in small animal models.