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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
X-ray Imaging01:24

X-ray Imaging

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 X-rays, and by 1900, X-ray was widely...
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...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

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Space jam. Are digital imaging systems straining your storage resources?

Alan Joch

    Hospitals & Health Networks
    |March 22, 2007
    PubMed
    Summary

    Digital imaging enhances patient care but strains storage systems, leading to significant technological and financial challenges. Addressing these storage demands is crucial for maintaining healthcare quality.

    Area of Science:

    • Medical Imaging
    • Health Informatics
    • Information Technology

    Background:

    • Digital imaging adoption is rapidly increasing in healthcare.
    • This growth significantly improves diagnostic capabilities and patient care quality.
    • However, it presents substantial challenges for data storage infrastructure.

    Purpose of the Study:

    • To highlight the growing problem of digital imaging data storage.
    • To identify the technological and financial complications arising from storage limitations.
    • To underscore the need for scalable storage solutions in healthcare.

    Main Methods:

    • Analysis of current trends in medical digital imaging data generation.
    • Review of existing healthcare data storage system capacities and limitations.

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  • Assessment of the financial implications associated with data storage expansion.
  • Main Results:

    • Digital imaging data volumes are exceeding current storage capacities.
    • Technological hurdles include data retrieval speed and system integration.
    • Financial burdens involve infrastructure costs, maintenance, and potential data loss risks.

    Conclusions:

    • The rapid expansion of digital imaging necessitates urgent attention to storage solutions.
    • Innovative and cost-effective storage strategies are required to support healthcare's digital transformation.
    • Failure to address storage issues may impede the benefits of advanced medical imaging.