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

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

206
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
206
Computed Tomography01:10

Computed Tomography

4.2K
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...
4.2K
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

133
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
133
X-ray Imaging01:24

X-ray Imaging

5.3K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
5.3K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

184
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...
184

You might also read

Related Articles

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

Sort by
Same author

Brain Cortex Thinning in Cardiac Allograft Vasculopathy　- Associations With Myocardial Fibrosis and Cognitive Impairment.

Circulation journal : official journal of the Japanese Circulation Society·2026
Same author

Aortic stiffness and cardiac function in middle-aged women with ischemic stroke with and without migraine.

BMC neurology·2026
Same author

Abdominal Fat Measures Are Associated With Sex-Specific Prothrombotic Changes in Middle-Aged Adults.

Arteriosclerosis, thrombosis, and vascular biology·2026
Same author

Free-Breathing 3D Whole Heart and Aorta Cine MRI Without Contrast Agent-Comparison to Clinical Standard.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Efficient Interleaved Multi-Band Outer Volume Suppression for Highly Accelerated Simultaneous Multi-Slice Imaging of the Heart.

Bioengineering (Basel, Switzerland)·2026
Same author

Cardiac Safety of Chronic Inhibition of the Myostatin-Activin Pathway with Bimagrumab in Healthy Older Adults.

The Journal of clinical endocrinology and metabolism·2026
Same journal

Kolmogorov-Arnold Guided Local-Global Attention for Medical Image Classification.

Journal of imaging informatics in medicine·2026
Same journal

Artificial Intelligence-Assisted Inner Ear Computed Tomography Analysis: Radiomics-Based Comparison of Affected and Unaffected Ears in Idiopathic Sudden Sensorineural Hearing Loss.

Journal of imaging informatics in medicine·2026
Same journal

High Adoption, Higher Expectations: A Cross-Sectional Survey of Radiologist Engagement with Artificial Intelligence in the United Arab Emirates.

Journal of imaging informatics in medicine·2026
Same journal

Complex-valued Multi-scale Hybrid Attention Network for Fast MRI via Sparsified Data Learning.

Journal of imaging informatics in medicine·2026
Same journal

Automatic Phase and Sequence Identification in Gd-EOB-DTPA-Enhanced Liver MRI Using Deep Convolutional and Sequential Learning.

Journal of imaging informatics in medicine·2026
Same journal

Ultrasound-Based AI in Predicting Hormone Receptor Status in Breast Cancer: Is "Digital Biopsy" Possible.

Journal of imaging informatics in medicine·2026
See all related articles

Related Experiment Video

Updated: May 30, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.1K

Assessing the Image Quality of Digitally Reconstructed Radiographs from Chest CT.

Olivier T Paalvast1, Omar Hertgers2, Merlijn Sevenster2,3

  • 1Leiden University Medical Center (LUMC), Leiden, the Netherlands. o.t.paalvast@lumc.nl.

Journal of Imaging Informatics in Medicine
|January 27, 2025
PubMed
Summary
This summary is machine-generated.

Digitally reconstructed radiographs (DRRs) from CT scans show disease detection performance comparable to chest X-rays (CXRs). The SoftMip technique yielded the best results, though radiologists noted image quality concerns needing further improvement.

Keywords:
Artificial intelligenceChest imagingDigitally reconstructed radiographsImage qualityUltra-low-dose CT

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:31

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

212
Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

8.6K

Related Experiment Videos

Last Updated: May 30, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.1K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:31

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

212
Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

8.6K

Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence in Healthcare

Background:

  • Increasing computed tomography (CT) workloads necessitate improved radiological assessment efficiency.
  • Digitally reconstructed radiographs (DRRs) generated from CT data offer a potential solution for faster image interpretation.
  • Various DRR generation techniques exist, but their comparative quality against standard chest X-rays (CXRs) requires investigation.

Purpose of the Study:

  • To compare the diagnostic quality of four different DRR generation techniques.
  • To evaluate the disease detection performance of DRRs against traditional CXRs using a deep learning model.
  • To identify the optimal DRR technique for clinical workflow integration.

Main Methods:

  • A retrospective study of 217 patients who underwent both ultra-low-dose (ULD) CT and CXR.
  • Generation of four DRRs from each ULDCT scan.
  • Quantitative comparison using CheXNet (a 14-disease detection neural network) to calculate area under the curve (AUC) for CXRs and DRRs.
  • Qualitative assessment by six radiologists rating DRR image quality (Likert scale 1-6) and providing feedback.

Main Results:

  • CheXNet AUC for CXRs was 0.80; DRR AUCs ranged from 0.75 to 0.82 (p > 0.26), indicating comparable performance.
  • The SoftMip DRR technique achieved the highest quantitative (AUC = 0.82) and qualitative (mean score = 3.5) evaluation.
  • Radiologists rated DRR diagnostic quality between 3.0 and 3.5, with concerns regarding resolution, noise, and overall appearance.

Conclusions:

  • DRRs demonstrate non-inferior disease detection performance compared to CXRs, suggesting potential for workflow enhancement.
  • The SoftMip technique is a promising DRR generation method.
  • Further advancements in DRR techniques are needed to address radiologist concerns about image quality and fully align with CXR diagnostic standards.