Grid portals meet imaging's data management needs

Article

Grid computing has emerged as one answer to demands for information systems to manipulate 2D, 3D, and 4D images, provide video conferencing, and satisfy other evolving telemedical applications.

Grid computing has emerged as one answer to demands for information systems to manipulate 2D, 3D, and 4D images, provide video conferencing, and satisfy other evolving telemedical applications.

A paper from Greece proposes a data-centric network that employs Grid architecture to construct web PACS portals to meet radiology department data management needs (Conf Proc IEEE Eng Med Biol Soc 2007;1:6429-6433). The hardware and software infrastructure is capable of providing reliable, low-cost access to high-end computing. The architecture yields a large-scale computing network from inexpensive off-the-shelf servers and storage devices. All components perform as a logical portal platform to provide web PACS services.

Newsletter

Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.

Recent Videos
SNMMI: Emerging PET Insights on Neuroinflammation with Progressive Apraxia of Speech (PAOS) and Parkinson-Plus Syndrome
Improving Access to Nuclear Imaging: An Interview with SNMMI President Jean-Luc C. Urbain, MD, PhD
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
Related Content
© 2025 MJH Life Sciences

All rights reserved.