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

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

190
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
190
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

211
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...
211
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

433
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
433
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

708
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...
708
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

408
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
408
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.8K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.8K

You might also read

Related Articles

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

Sort by
Same author

A Review of the Australian MRI Linac Program: From Pie in the Sky to Research Milestone.

Journal of medical imaging and radiation oncology·2026
Same author

Protocol optimization for MRI studies in radiation oncology: III. MRI relaxometry.

Physics in medicine and biology·2026
Same author

Protocol optimization for quantitative MRI studies in radiation oncology: II. Diffusion MRI.

Physics in medicine and biology·2026
Same author

Protocol optimization for MRI studies in radiation oncology: I. Phantoms.

Physics in medicine and biology·2026
Same author

An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer.

Nature communications·2026
Same author

Breaking the Barriers of Recruitment for Culturally and Linguistically Diverse Populations to MRI Clinical Trials in Radiotherapy-A Pilot Study.

Asia-Pacific journal of clinical oncology·2026

Related Experiment Video

Updated: Dec 24, 2025

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

11.6K

Multicenter evaluation of MRI-based radiomic features: A phantom study.

Robba Rai1,2,3, Lois C Holloway1,2,3,4,5, Carsten Brink6,7

  • 1South Western Sydney Clinical School, University of New South Wales, Liverpool, NSW, 2170, Australia.

Medical Physics
|April 12, 2020
PubMed
Summary
This summary is machine-generated.

A new magnetic resonance imaging (MRI) radiomics phantom was developed for multicenter studies. While first-order radiomic features showed good stability across scanners, texture and shape features varied, highlighting the need for caution in clinical applications.

Keywords:
3D printingMRI phantomsMRI radiomicsimage featuresimage texture

More Related Videos

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

11.9K
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.6K

Related Experiment Videos

Last Updated: Dec 24, 2025

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

11.6K
Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

11.9K
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.6K

Area of Science:

  • Medical Imaging
  • Radiomics
  • Quantitative MRI

Background:

  • Radiomics analysis in MRI is emerging for clinical applications.
  • Standardization of radiomic feature extraction is crucial for multicenter studies.
  • A novel MRI radiomics phantom was developed to address reproducibility and stability concerns.

Purpose of the Study:

  • To develop and validate a novel MRI radiomics phantom for multicenter use.
  • To assess the stability and reproducibility of MRI-based radiomic features across different scanners.
  • To evaluate the performance of first-order, shape, and texture radiomic features.

Main Methods:

  • 3D printing of MRI-visible phantoms using specialized materials.
  • Imaging phantoms on seven different MRI scanners to assess inter-scanner variability.
  • Performing radiomics analysis, including first-order, shape, and texture features.
  • Utilizing Intraclass Correlation Coefficient (ICC) for feature stability and Coefficient of Variation (COV) for reproducibility.

Main Results:

  • The developed phantom material demonstrated stability over 12 months (T1: 150.7 ± 6.7 ms, T2: 56.1 ± 3.9 ms).
  • First-order statistics features exhibited the highest stability across scanners (67% with high stability).
  • Texture features showed moderate stability (58% with high stability), while shape features lacked stability.

Conclusions:

  • A novel MRI radiomics phantom enables assessment of feature reproducibility across institutions.
  • Significant variation in radiomic feature stability necessitates careful interpretation in clinical research.
  • The phantom facilitates standardization and validation of radiomics analysis in multicenter MRI studies.