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 III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...

You might also read

Related Articles

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

Sort by
Same author

Magnetic resonance imaging-guided large-scale lesion patterning with high-intensity focused ultrasound in homogeneous phantoms.

Medical physicsĀ·2026
Same author

State of the AI: Post-Deployment Monitoring of Radiology-Focused Internally Developed AI.

Mayo Clinic proceedings. Digital healthĀ·2026
Same author

Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli.

Journal of the American College of Radiology : JACRĀ·2025
Same author

Efficient and Scalable Point Cloud Generation With Sparse Point-Voxel Diffusion Models.

IEEE transactions on neural networks and learning systemsĀ·2025
Same author

GATE 10 Monte Carlo particle transport simulation: I. Development and new features.

Physics in medicine and biologyĀ·2025
Same author

GATE 10 Monte Carlo particle transport simulation: II. Architecture and innovations.

Physics in medicine and biologyĀ·2025
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imagingĀ·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imagingĀ·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imagingĀ·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imagingĀ·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imagingĀ·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall SurvivalĀ in Non-Small-Cell Lung Cancer.

Journal of digital imagingĀ·2023
See all related articles

Related Experiment Video

Updated: May 31, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Using an open-source PACS virtual machine for a digital angiography unit: methods and initial impressions.

George C Kagadis1, Christos Alexakos, Steve G Langer

  • 1Department of Medical Physics, School of Medicine, University of Patras, P.O. Box 132 73, GR 265 04, Rion, Greece. gkagad@gmail.com

Journal of Digital Imaging
|July 13, 2011
PubMed
Summary
This summary is machine-generated.

Virtual machine-based picture archiving and communication systems (PACS) offer a cost-effective solution for enhanced medical imaging data management. This approach ensures scalability and leverages hardware advancements for improved clinical accessibility.

More Related Videos

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

Related Experiment Videos

Last Updated: May 31, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

Area of Science:

  • Medical Imaging Informatics
  • Health IT Systems
  • Radiology Workflow Optimization

Background:

  • Picture Archiving and Communication Systems (PACS) are crucial for clinical data availability and diagnostic benefits.
  • Commercial PACS solutions are expensive, with high initial costs and mandatory vendor support contracts.
  • Open-source PACS offer affordability but can be resource-intensive for installation and scaling.

Purpose of the Study:

  • To present an alternative PACS approach using virtual machines for improved cost-effectiveness and scalability.
  • To demonstrate a method for adapting PACS infrastructure to evolving computational and storage needs.
  • To leverage Moore's Law for reducing PACS hardware and operational expenses.

Main Methods:

  • Developing PACS solutions on virtual machine (VM) platforms.
  • Implementing a strategy for migrating VMs between hardware configurations as needed.
  • Utilizing the cost efficiencies of hardware advancements for compute and storage.

Main Results:

  • Demonstrated a flexible and scalable PACS architecture.
  • Achieved cost savings by utilizing virtual machine migration.
  • Enabled "just-in-time" hardware provisioning for PACS.

Conclusions:

  • Virtual machine-based PACS provide a scalable and cost-effective alternative to traditional systems.
  • This approach addresses the limitations of both commercial and resource-intensive open-source PACS.
  • Facilitates wider adoption of advanced PACS technology in healthcare settings.