Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

9.2K
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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.2K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

492
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
492
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

1.0K
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
1.0K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

3.0K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
3.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning.

PloS one·2026
Same author

Lipid biomarkers for the prediction of type 2 diabetes risk, an umbrella review and updated meta-analyses of prospective observational studies.

Frontiers in endocrinology·2026
Same author

Robot-assisted simple prostatectomy vs. laser enucleation of the prostate for large-volume benign prostatic hyperplasia (BPH, ≥80 mL): a systematic review and meta-analysis.

Frontiers in medicine·2026
Same author

Geospatial Accessibility Factors Influencing HIV Care Continuum Outcomes in South Carolina.

AIDS and behavior·2026
Same author

Synchronous epithelioid sarcoma of bilateral thigh: a rare case report and literature review.

Frontiers in oncology·2026
Same author

Optimization of the Multi-Channel Surface Electrogram Acquisition for Noninvasive Uterine Electrophysiology Imaging.

Annals of biomedical engineering·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Mar 2, 2026

Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

13.7K

Mechanics Based Tomography: A Preliminary Feasibility Study.

Yue Mei1, Sicheng Wang2, Xin Shen3

  • 1Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA. meiyue1989@gmail.com.

Sensors (Basel, Switzerland)
|May 10, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces Mechanics Based Tomography (MBT), a non-destructive method using force and displacement data to map material stiffness and detect embedded inclusions, showing promise for medical imaging and material science.

Keywords:
DICboundary displacement trackingdigital image correlation systemsforce sensorsincomplete datainverse problemsnon-destructive material characterizationparameter identification

More Related Videos

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

11.5K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

911

Related Experiment Videos

Last Updated: Mar 2, 2026

Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

13.7K
Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

11.5K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

911

Area of Science:

  • Solid mechanics
  • Non-destructive testing
  • Computational imaging

Background:

  • Accurate characterization of heterogeneous materials is crucial for diagnostics and engineering.
  • Existing methods for detecting embedded objects often require direct access or make assumptions about object properties.

Purpose of the Study:

  • To develop and validate a non-destructive technique for remotely sensing and mapping stiffness variations within solid materials.
  • To assess the feasibility of identifying embedded inclusions based on mechanical properties without prior assumptions on their shape or stiffness.

Main Methods:

  • Utilized force sensors and boundary displacement measurements obtained via digital image correlation.
  • Developed an inversion scheme to reconstruct shear modulus maps from measured mechanical data.
  • Validated the method through simulated experiments with varying numbers of inclusions and boundary data completeness.

Main Results:

  • The Mechanics Based Tomography (MBT) method successfully reconstructed material composition with stiff inclusions.
  • Incomplete boundary displacement data led to underestimation of shear modulus and overestimation of inclusion size.
  • Reconstruction accuracy significantly improved with complete boundary data and increased data sets.

Conclusions:

  • Mechanics Based Tomography (MBT) offers a novel, non-destructive imaging modality for characterizing heterogeneous materials.
  • The method's performance is sensitive to the completeness of boundary displacement measurements and data quantity.
  • Further analysis confirmed sensitivity to noise, inclusion depth, stiffness, and shape.