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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

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Related Experiment Video

Updated: Jun 10, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

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Published on: March 14, 2018

Trabecular structure analysis using C-arm CT: comparison with MDCT and flat-panel volume CT.

Catherine M Phan1, Eric A Macklin, Miriam A Bredella

  • 1Department of Radiology, Massachusetts General Hospital Neuroradiology, GRB-273A, 55 Fruit Street, Boston, MA 02114, USA. cmphan@partners.org

Skeletal Radiology
|July 27, 2010
PubMed
Summary
This summary is machine-generated.

C-arm CT reliably measures trabecular bone structure in the knee, comparable to other CT methods. Spatial resolution limits its accuracy for trabecular spacing.

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Area of Science:

  • Orthopedic imaging
  • Radiology
  • Biomedical engineering

Background:

  • Trabecular bone architecture is crucial for assessing bone health and fracture risk.
  • Accurate measurement of trabecular bone parameters requires high-resolution imaging techniques.
  • Variability in imaging measurements can impact clinical interpretation and research findings.

Purpose of the Study:

  • To evaluate the interscan, interreader, and intrareader variability of C-arm CT for trabecular bone analysis.
  • To compare the performance of C-arm CT with flat-panel volume-CT (fpVCT) and high-definition multi-detector-CT (HD-MDCT).

Main Methods:

  • Five cadaver knee specimens were imaged using C-arm CT, fpVCT, and HD-MDCT.
  • Three readers measured apparent trabecular bone parameters: BV/TV, TbN, TbSp, and TbTh of the proximal tibia.
  • Variability was quantified using coefficient of variation (CV), standard deviation (SD), and intraclass correlation coefficient (ICC).

Main Results:

  • C-arm CT demonstrated low variability for most trabecular bone parameters (CV: 2.41-6.43%).
  • Interreader reliability for C-arm CT was comparable to HD-MDCT and fpVCT for all parameters except apparent trabecular spacing (app.TbSp).
  • Variability for app.TbSp was higher (CV: 7.05-9.35%), indicating a limitation.

Conclusions:

  • C-arm CT is a reliable imaging modality for assessing key trabecular bone architectural parameters.
  • The spatial resolution of C-arm CT may limit the accurate assessment of app.TbSp.
  • C-arm CT offers a viable alternative for trabecular bone analysis, particularly when compared to fpVCT and HD-MDCT.