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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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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...
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Computed Tomography01:10

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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.
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...
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Related Experiment Video

Updated: Jan 6, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
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Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography.

S S Karhula1,2, M A J Finnilä3,4, S J O Rytky3

  • 1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, POB 5000, 90014, Oulu, Finland. sakari.karhula@oulu.fi.

Annals of Biomedical Engineering
|October 5, 2019
PubMed
Summary

This study quantifies sub-resolution trabecular bone morphometrics using cone beam computed tomography (CBCT). Advanced texture and histogram analyses from CBCT show strong associations with bone structure, aiding osteoarthritis assessment.

Keywords:
Cone beam computed tomographyGrey-level co-occurrence matrixImagingMicro-computed tomographyOsteoarthritisTextural analysis

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Area of Science:

  • Biomedical Engineering
  • Radiology
  • Orthopedics

Background:

  • Trabecular bone morphometrics are crucial for understanding osteoarthritis (OA) but are difficult to quantify with clinical imaging.
  • Sub-resolution details in bone structure are linked to OA severity.
  • Cone beam computed tomography (CBCT) offers potential for in vivo assessment of bone microarchitecture.

Purpose of the Study:

  • To quantify sub-resolution trabecular bone morphometrics from clinical resolution CBCT images.
  • To evaluate the association between texture/histogram parameters and bone morphometrics.
  • To develop a statistical model for estimating bone morphometrics using CBCT data.

Main Methods:

  • Human tibial and femoral bone samples were imaged using CBCT.
  • Grey-level co-occurrence matrix (GLCM) texture and histogram parameters were calculated.
  • Parameters were correlated with micro-CT quantified morphometrics and OARSI histopathological grading for OA severity.

Main Results:

  • Individual histogram and GLCM parameters strongly correlated with bone morphometrics (e.g., histogram mean and bone volume fraction, r=0.907).
  • A combined statistical model of GLCM and histogram parameters improved the estimation of bone volume fraction from CBCT data.
  • Histopathology showed moderate associations with bone morphometrics.

Conclusions:

  • CBCT-imaged trabecular bone texture and histogram parameters are associated with sub-resolution morphometrics.
  • Sub-resolution bone morphometrics can be estimated from clinical CBCT images.
  • Combining histogram and GLCM parameters enhances the accuracy of these estimations.