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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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...
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Brain Imaging01:14

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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.
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Imaging Studies IV: Magnetic Resonance Imaging01:27

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Imaging Studies I: CT and MRI01:14

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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.
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Computed Tomography (CT) scan:
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Imaging Studies III: Computed Tomography01:27

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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...
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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.
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Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
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Science in the cloud (SIC): A use case in MRI connectomics.

Gregory Kiar1,2, Krzysztof J Gorgolewski3, Dean Kleissas4

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Scientists can now achieve reproducible research using "science in the cloud" (SIC). This framework uses cloud computing and containers to make scientific data analysis accessible and extensible, accelerating discovery.

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Area of Science:

  • Computational Science
  • Data Science
  • Scientific Computing

Background:

  • Modern scientific endeavors generate vast, complex datasets, shifting focus from data collection to analysis.
  • Reproducibility and extensibility of scientific results are hindered by a lack of standardized data sharing mechanisms.
  • Advancements in data organization and code portability present opportunities for improved scientific communication.

Purpose of the Study:

  • To propose an accessible and extensible framework for reproducible research.
  • To leverage existing technologies for enhanced scientific discovery and collaboration.

Main Methods:

  • Utilizing scientific containers for code portability.
  • Implementing cloud computing for scalable data analysis.
  • Employing cloud data services for data accessibility.
  • Developing a web service for interactive data and tool engagement.

Main Results:

  • Demonstrated the capability to perform computations within the cloud environment.
  • Successfully deployed a web service for interactive exploration of scientific tools and data.
  • Established a model for reproducible and extensible scientific research.

Conclusions:

  • The 'science in the cloud' (SIC) model offers a practical solution for reproducible research.
  • SIC facilitates community-driven acceleration of scientific breakthroughs through replication and extension.
  • The framework promotes enhanced interaction with scientific tools and data, fostering collaborative advancement.