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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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Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm:

Jun-Bong Shin1, Do-Kun Yoon1, Seongyong Pak2

  • 1Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, Catholic University of Korea, Seoul, Korea.

Journal of Applied Clinical Medical Physics
|November 16, 2019
PubMed
Summary
This summary is machine-generated.

The advanced ADMIRE reconstruction algorithm significantly improves computed tomography (CT) image quality for abdominal imaging. ADMIRE offers superior contrast and lower noise compared to FBP and SAFIRE, enhancing lesion detectability.

Keywords:
ADMIREFBPMDCTSAFIREabdomen phantom

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Area of Science:

  • Medical Imaging
  • Radiology
  • Image Reconstruction

Background:

  • Computed tomography (CT) is crucial for abdominal imaging.
  • Image reconstruction algorithms impact diagnostic accuracy.
  • Evaluating novel algorithms like ADMIRE is essential for improving CT performance.

Purpose of the Study:

  • To compare the detectability performance of different CT reconstruction algorithms.
  • To analyze the impact of FBP, SAFIRE, and ADMIRE on abdominal phantom imaging.
  • To quantify image quality metrics including contrast-to-noise ratio (CNR) and noise power spectrum (NPS).

Main Methods:

  • Utilized an abdominal phantom with vendor default settings for routine multi-detector CT scans.
  • Reconstructed images using Filtered Back Projection (FBP), SAFIRE, and Adaptive Multiscale Denoising Iterative Reconstruction (ADMIRE) algorithms.
  • Quantitatively evaluated image quality using CNR, coefficient of variation (COV) difference, and NPS.

Main Results:

  • ADMIRE-3 reconstructed images demonstrated superior characteristics compared to FBP and SAFIRE-3.
  • SAFIRE and ADMIRE significantly increased CNR values over FBP.
  • ADMIRE showed approximately 1.2 times lower COV difference than SAFIRE.

Conclusions:

  • ADMIRE outperformed SAFIRE and FBP in contrast, CNR, COV difference, and 1D NPS for abdominal phantom imaging.
  • The findings suggest ADMIRE enhances image clarity and contrast resolution, particularly at low kV settings.
  • ADMIRE facilitates clearer visualization of contrast objects compared to SAFIRE and FBP.