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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.
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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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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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Related Experiment Video

Updated: Nov 17, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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Motion correction for routine X-ray lung CT imaging.

Doil Kim1, Jiyoung Choi1, Duhgoon Lee1

  • 1CT R&D Group, Health & Medical Equipment Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea.

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|February 13, 2021
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Summary
This summary is machine-generated.

A new algorithm corrects motion artifacts in lung CT scans without gating, improving image quality for better disease detection. This automated method enhances visualization of lung structures and the aorta.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • Motion artifacts in lung CT scans can mimic diseases, complicating diagnosis.
  • Routine CT scans, even with breath-hold, can exhibit motion artifacts affecting fine lung structures.

Purpose of the Study:

  • To evaluate a novel motion correction algorithm for routine lung CT imaging.
  • To assess the algorithm's effectiveness in reducing motion artifacts in phantom and clinical studies.

Main Methods:

  • Developed a novel algorithm using conjugate partial angle reconstruction for motion estimation via non-rigid registration.
  • Employed a motion-compensated reconstruction without segmentation for improved artifact correction.
  • Utilized a moving phantom and seven clinical cases for performance evaluation.

Main Results:

  • Statistically significant improvements in image quality were observed, with positivity measure improvements up to 53.6% (phantom) and 35.5% (clinical).
  • Reduced motion artifacts in lung parenchyma, pulmonary vessels, and airways compared to Filtered Back Projection (FBP) images.
  • Demonstrated potential in correcting aortic motion artifacts, mimicking aortic dissection.

Conclusions:

  • The proposed algorithm effectively corrects motion artifacts in routine lung CT scans.
  • Offers a fully automatic workflow with excellent performance for lung structures and the aorta.
  • Paves the way for innovations in chest and thorax CT imaging.