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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...
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 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 II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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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Related Experiment Video

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Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration
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T2 and T2* quantification using optimal B1 image reconstruction for multicoil arrays.

Martin J Graves1, Daniel Emmens, Hubert Lejay

  • 1Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Hills Road, Cambridge, UK. mjg40@radiol.cam.uk

Journal of Magnetic Resonance Imaging : JMRI
|June 27, 2008
PubMed
Summary

Optimal B(1) image reconstruction (OBR) improves accuracy in low signal-to-noise ratio (SNR) T(2) and T(2)* measurements compared to standard root sum of squares (RSS) reconstruction. OBR provides more accurate results, especially when SNR is limited.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biomedical Engineering
  • Medical Physics

Background:

  • Accurate T(2) and T(2)* measurements are crucial for MRI diagnostics.
  • Low signal-to-noise ratio (SNR) can compromise measurement accuracy.
  • Standard root sum of squares (RSS) reconstruction may be suboptimal in low SNR conditions.

Purpose of the Study:

  • To evaluate the accuracy of T(2) and T(2)* measurements using array coils with optimal B(1) image reconstruction (OBR).
  • To compare OBR with standard root sum of squares (RSS) reconstruction for low SNR T(2) and T(2)* measurements.

Main Methods:

  • In vitro studies using calibrated gels for T(2) measurements.
  • In vivo T(2) and T(2)* measurements in a volunteer's knee and liver using multiecho spin echo and gradient echo sequences, respectively.
  • Deliberately low SNR acquisition and comparison of OBR with RSS reconstruction using identical raw data.

Main Results:

  • OBR reconstructions exhibited lower mean background noise compared to RSS.
  • In vitro T(2) measurements with OBR showed better agreement with reference values than RSS.
  • In vivo studies indicated that RSS overestimated relaxation times, particularly at lower signal averages.

Conclusions:

  • OBR enhances the accuracy of T(2) and T(2)* measurements in low SNR scenarios.
  • OBR offers a significant improvement over RSS reconstruction for quantitative MRI relaxometry.
  • This method is particularly beneficial for applications requiring precise measurements under challenging SNR conditions.