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

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 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 II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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...
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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...

You might also read

Related Articles

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

Sort by
Same author

The acute effects of exercise intensity and inorganic nitrate supplementation on the Buckberg ratio in postmenopausal females.

Experimental physiology·2026
Same author

Influence of metformin on exercise metabolism and capacity: a systematic review and meta-analysis.

American journal of physiology. Endocrinology and metabolism·2026
Same author

Low-dose simulated galactic cosmic radiation exposure after hindlimb unloading has long-term impact on skeletal muscle metabolic proteins in female mice.

American journal of physiology. Regulatory, integrative and comparative physiology·2026
Same author

Characterizing Biomarkers of Muscle Damage in Collegiate Football Players: A Prospective, Repeated Measures Study.

Journal of clinical medicine·2026
Same author

The association between radiographic osteosarcopenia and overall mortality among older patients undergoing colorectal cancer resection.

Aging clinical and experimental research·2026
Same author

Exercise Testing and Counseling in Patients with Tetralogy of Fallot: A Guide for the Pediatric and Congenital Cardiologist.

Pediatric cardiology·2025

Related Experiment Video

Updated: Jun 18, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

NIH ImageJ and Slice-O-Matic computed tomography imaging software to quantify soft tissue.

Brian A Irving1, Judy Y Weltman, David W Brock

  • 1Department of Human Services, University of Virginia, Charlottesville, VA 22904, USA.

Obesity (Silver Spring, Md.)
|February 15, 2007
PubMed
Summary
This summary is machine-generated.

Slice-O-Matic and NIH ImageJ software provide reliable measurements for adipose tissue and skeletal muscle cross-sectional areas. Both imaging software packages demonstrated comparable results and limits of agreement in computed tomography analysis.

More Related Videos

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

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

Related Experiment Videos

Last Updated: Jun 18, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

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

Area of Science:

  • Medical Imaging Analysis
  • Biomedical Engineering
  • Radiology

Background:

  • Accurate quantification of adipose tissue and skeletal muscle cross-sectional areas is crucial for clinical assessments and research.
  • Medical imaging software plays a vital role in analyzing these tissue areas from computed tomography (CT) scans.
  • Comparing the reliability and agreement of different software packages is essential for standardizing methodologies.

Purpose of the Study:

  • To compare the reliability and limits of agreement of soft tissue cross-sectional areas derived from Slice-O-Matic and NIH ImageJ medical imaging software.
  • To evaluate the consistency of measurements obtained by different investigators using these two software packages.

Main Methods:

  • Abdominal and thigh CT images were analyzed by two investigators in duplicate.
  • Adipose tissue and skeletal muscle cross-sectional areas were calculated using standardized Hounsfield unit ranges.
  • Regions of interest included abdominal and thigh fat and muscle areas, with a focus on visceral fat area (AVF).

Main Results:

  • Intra- and inter-investigator coefficients of variation were low for both Slice-O-Matic and NIH ImageJ, indicating high reliability (R² = 0.99).
  • Mean AVF values were comparable between the two software packages.
  • Bland-Altman analysis showed acceptable limits of agreement between Slice-O-Matic and NIH ImageJ for AVF measurements.

Conclusions:

  • Both Slice-O-Matic and NIH ImageJ software systems offer reliable measurements for adipose tissue and skeletal muscle cross-sectional areas.
  • The findings support the use of either software for quantitative analysis of body composition from CT images.
  • The comparable results suggest consistency in image analysis between the two platforms.