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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 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...
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...
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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...

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Second order total generalized variation (TGV) for MRI.

Florian Knoll1, Kristian Bredies, Thomas Pock

  • 1Institute of Medical Engineering, Graz University of Technology, Kronesgasse 5, A-8010 Graz, Austria. florian.knoll@tugraz.at

Magnetic Resonance in Medicine
|January 26, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces total generalized variation for magnetic resonance imaging, improving image quality by overcoming limitations of standard total variation methods in denoising and reconstruction tasks.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Mathematical Modeling

Background:

  • Total variation is a common assumption in magnetic resonance imaging (MRI).
  • This assumption of piecewise constant image regions is often violated in practice.
  • B1 field inhomogeneities and receive coil imperfections limit conventional total variation methods.

Purpose of the Study:

  • To introduce a new mathematical framework, total generalized variation (TGV), for MRI.
  • To generalize existing total variation theory to address practical MRI limitations.
  • To evaluate TGV's performance in image denoising and reconstruction.

Main Methods:

  • Developed a novel mathematical framework: total generalized variation (TGV).
  • Applied TGV to image denoising in MRI.
  • Applied TGV to image reconstruction from undersampled radial data with multiple coils.

Main Results:

  • TGV successfully overcomes the limitations of conventional total variation.
  • Simulations demonstrated TGV's effectiveness.
  • In vivo experimental results showed improved image quality using TGV compared to standard total variation.

Conclusions:

  • Total generalized variation offers a more robust approach for MRI applications.
  • TGV provides enhanced image quality in denoising and reconstruction.
  • The new framework effectively handles B1 field inhomogeneities and coil imperfections.