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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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.
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...
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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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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy
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Accelerated Quantitative 3D UTE-Cones Imaging Using Compressed Sensing.

Jiyo S Athertya1, Yajun Ma1, Amir Masoud Afsahi1

  • 1Department of Radiology, University of California, San Diego, CA 92103, USA.

Sensors (Basel, Switzerland)
|October 14, 2022
PubMed
Summary
This summary is machine-generated.

Accelerated quantitative Ultrashort Echo Time Cones (qUTE-Cones) MRI using compressed sensing (CS) significantly reduces scan times without compromising image quality. This advanced technique enables faster, high-fidelity knee imaging for improved clinical applications.

Keywords:
UTEcompressed sensingimage reconstructionquantitative MRI

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Area of Science:

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

Background:

  • Quantitative Ultrashort Echo Time Cones (qUTE-Cones) imaging offers potential for detailed musculoskeletal tissue characterization.
  • Accelerating MRI acquisition is crucial for clinical feasibility, reducing patient discomfort and motion artifacts.
  • Compressed sensing (CS) reconstruction techniques show promise in reconstructing high-quality images from undersampled data.

Purpose of the Study:

  • To investigate the feasibility of accelerated quantitative Ultrashort Echo Time Cones (qUTE-Cones) imaging using compressed sensing (CS) reconstruction.
  • To evaluate the performance of CS reconstruction in reducing artifacts and maintaining image quality for various qUTE-Cones sequences.
  • To assess the accuracy and reliability of quantitative MRI parameters derived from accelerated qUTE-Cones imaging.

Main Methods:

  • Implementation of qUTE-Cones sequences for T1 mapping, T1ρ mapping, and quantitative magnetization transfer (MT) on a 3T MR system.
  • Retrospective undersampling of k-space data from 20 healthy volunteers undergoing whole-knee MRI.
  • Reconstruction of undersampled data using both zero-filling and CS methods, followed by quantitative parameter estimation in defined regions of interest (ROIs).

Main Results:

  • CS reconstruction dramatically reduced streaking artifacts and improved Structural Similarity Index (SSIM) compared to zero-filling, achieving a mean SSIM of ~0.90.
  • Percentage errors for quantitative parameters remained below 5% even with 50% undersampling (2x acceleration).
  • High linear correlation (>0.95) was observed for all estimated qUTE parameters across all subjects, indicating robust quantitative accuracy.

Conclusions:

  • Compressed sensing-based reconstruction combined with efficient Cones trajectory enables clinically feasible scan times for qUTE imaging.
  • Accelerated qUTE-Cones imaging with CS provides high-quality, quantitative data for musculoskeletal MRI.
  • This approach holds significant promise for efficient and accurate assessment of knee joint tissues.