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Imaging Studies I: CT and MRI01:14

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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.
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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their...
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It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
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Related Experiment Video

Updated: Jan 27, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Technical Note: Density correction to improve CT number mapping in thoracic deformable image registration.

Jinzhong Yang1, Yongbin Zhang2, Zijian Zhang1,3

  • 1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Medical Physics
|March 22, 2019
PubMed
Summary

Density correction significantly improves computed tomography (CT) number accuracy in lung image registration, especially for cases with large volume differences. This enhances precision in medical imaging applications like radiotherapy.

Keywords:
Jacobiandeformable image registrationdensity correctionlung cancer

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Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Computational Anatomy

Background:

  • Deformable image registration (DIR) is crucial for aligning medical images, particularly in radiotherapy.
  • Accurate CT number mapping within the lung is challenging due to significant volumetric changes during respiration.
  • Existing DIR methods struggle with large lung volume differences, impacting treatment planning and delivery.

Purpose of the Study:

  • To enhance the accuracy of CT number mapping in lung DIR.
  • To address challenges posed by large lung volume variations in vertical CT imaging and adaptive radiotherapy.
  • To develop and validate a density correction method for improved lung image registration.

Main Methods:

  • Utilized four-dimensional CT data from 14 thoracic cancer patients, comparing deep inspiration breath hold (DIBH) and end-of-exhalation (EE) phases.
  • Applied a Demons-based deformable registration algorithm to align EE CT images to DIBH CT space.
  • Developed a mass-preserving model using Jacobian determinants to correct lung CT numbers based on volumetric changes.

Main Results:

  • Lung volume ratios between DIBH and EE phases averaged 1.6, indicating substantial changes.
  • Deformable registration accurately captured lung shape but showed intensity discrepancies.
  • Density correction reduced mean absolute intensity differences from 54.5 ± 45.5 to 18.1 ± 34.9, significantly improving CT number mapping accuracy.

Conclusions:

  • Density correction is essential for accurate CT number mapping in lung DIR with large volume variations.
  • The proposed method enhances precision for applications in vertical CT imaging and adaptive radiotherapy.
  • This technique improves the reliability of image registration for thoracic cancer treatment.