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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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Imaging Studies III: Computed Tomography01:27

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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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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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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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Weighted Mean00:57

Weighted Mean

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While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
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Updated: Aug 6, 2025

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
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Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

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Adaptive-weighted high order TV algorithm for sparse-view CT reconstruction.

Yarui Xi1,2, Pengwu Zhou1,2,3, Haijun Yu1,2

  • 1Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, China.

Medical Physics
|March 19, 2023
PubMed
Summary
This summary is machine-generated.

The adaptive-weighted high order total variation (awHOTV) algorithm enhances image reconstruction from sparse or noisy data. This method improves accuracy and preserves details better than traditional algorithms, reducing artifacts in computed tomography (CT) images.

Keywords:
Chambolle-Pock algorithmadaptive-weighted high order total variationcompressed sensingimage reconstructioniterative algorithm

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Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Computational Imaging

Background:

  • Low-dose computed tomography (CT) necessitates robust image reconstruction techniques for incomplete data.
  • Traditional total variation (TV) minimization algorithms struggle with edge preservation and can introduce artifacts in non-piecewise constant images.

Purpose of the Study:

  • To improve the reconstruction accuracy of TV algorithms by incorporating anisotropic information.
  • To address the loss of edge and detail information inherent in traditional TV methods.

Main Methods:

  • Proposed an adaptive-weighted high order total variation (awHOTV) algorithm utilizing second-order gradients.
  • Adapted anisotropic edge properties and local image intensity gradients to preserve edge information.
  • Developed a Chambolle-Pock (CP) algorithm for solving the awHOTV optimization problem.

Main Results:

  • The awHOTV algorithm demonstrated superior performance in terms of Root Mean Square Error (RMSE), Structural Similarity (SSIM), and Pearson Correlation Coefficient (PCC) compared to traditional TV and Filtered Backprojection (FBP) algorithms.
  • Evaluated image quality using metrics like SSIM, RMSE, Contrast to Noise Ratio (CNR), and Modulation Transform Function (MTF) in various phantom and real-world datasets.
  • Showcased robustness against varying noise intensities and effectiveness in reducing strip artifacts common in FBP reconstructions.

Conclusions:

  • The awHOTV method achieves high-accuracy image reconstruction from sparse or noisy CT data.
  • Effectively mitigates strip artifacts from FBP and suppresses block artifacts while preserving details, outperforming traditional TV methods.