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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 IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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,...
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:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
Atomic Nuclei: Magnetic Resonance01:05

Atomic Nuclei: Magnetic Resonance

The number of nuclear spins aligned in the lower energy state is slightly greater than those in the higher energy state. In the presence of an external magnetic field, as the spins precess at the Larmor frequency, the excess population results in a net magnetization oriented along the z axis. When a pulse or a short burst of radio waves at the Larmor frequency is applied along the x axis, the coupling of frequencies causes resonance and flips the nuclear spins of the excess population from the...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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Preparation and In Vitro Characterization of Dendrimer-based Contrast Agents for Magnetic Resonance Imaging
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Published on: December 4, 2016

Magnetic Resonance Image Example-Based Contrast Synthesis.

Snehashis Roy, Aaron Carass, Jerry L Prince

    IEEE Transactions on Medical Imaging
    |September 24, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study presents an image restoration technique for magnetic resonance images (MRIs). It recovers desired tissue contrast and normalizes intensity profiles, improving image analysis algorithm performance across various scenarios.

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    Area of Science:

    • Medical Imaging
    • Image Processing
    • Computational Biology

    Background:

    • Magnetic resonance image (MRI) analysis algorithm performance is highly dependent on image acquisition parameters.
    • Algorithms are often optimized for specific pulse sequences and scanner implementations, limiting their use with non-standard or historical data.
    • Practical scenarios like multi-institution trials or emergency scans often involve images not acquired with optimal protocols, leading to missing desired tissue contrast.

    Purpose of the Study:

    • To introduce an image restoration technique for MRIs.
    • To recover desired tissue contrast and normalize intensity profiles in acquired images.
    • To demonstrate the utility of the technique for various image analysis tasks.

    Main Methods:

    • An example-based approach using sparse reconstruction from image patches.
    • Utilizes an atlas containing patches of both acquired and desired tissue contrasts.
    • Applies image patches from acquired MRIs to restore missing information.

    Main Results:

    • Successfully demonstrated image intensity normalization.
    • Showcased recovery of missing tissue contrast.
    • Validated performance in automatic segmentation and multimodal registration tasks.
    • Highlighted potential practical applications and identified limitations.

    Conclusions:

    • The proposed image restoration technique offers a robust method for enhancing MRI data quality.
    • It enables improved performance of image analysis algorithms even with suboptimal or historical image datasets.
    • The approach shows promise for broader applications in medical imaging research and clinical practice.