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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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...
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:
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Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
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...
Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
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Challenges for data storage in medical imaging research.

Steve G Langer1

  • 1Mayo Clinic, Rochester, MN, USA. langer.steve@mayo.edu

Journal of Digital Imaging
|June 15, 2010
PubMed
Summary

Medical imaging researchers face data management challenges. Cloud computing offers a scalable solution for storing, indexing, and sharing complex imaging data, reducing the need for extensive local IT infrastructure.

Area of Science:

  • Medical Imaging
  • Data Science
  • Cloud Computing

Background:

  • Medical imaging research involves significant data management hurdles, including storage, indexing, and sharing.
  • Traditional on-site data management requires specialized IT skills and resources, often exceeding researcher capacity.
  • Non-standard file formats complicate data integration with established standards like DICOM.

Purpose of the Study:

  • To outline a scalable approach for managing medical imaging data.
  • To address challenges in processing, data mining, and relating non-standard formats to DICOM.
  • To leverage cloud computing for efficient data management in medical imaging research.

Main Methods:

  • Utilizing cloud computing's on-demand provisioning for data storage and management.

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  • Developing strategies to handle non-standard medical imaging file formats.
  • Establishing methods to link processed data to DICOM standard descendants.

    • Main Results:

    • An outlined approach that scales with growing research needs.
    • Reduced reliance on local IT infrastructure and expertise.
    • Facilitation of data processing and mining on diverse imaging datasets.

    Conclusions:

    • Cloud computing provides a viable and scalable solution for medical imaging data management.
    • Outsourcing data management aspects can overcome resource limitations for researchers.
    • The proposed approach enhances the ability to work with complex, non-standard imaging data.