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Related Concept Videos

Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

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Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
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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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Updated: Dec 7, 2025

Quantitative Mapping of Specific Ventilation in the Human Lung using Proton Magnetic Resonance Imaging and Oxygen as a Contrast Agent
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Technical Note: On the spatial correlation between robust CT-ventilation methods and SPECT ventilation.

Edward Castillo1,2, Richard Castillo3, Yevgeniy Vinogradskiy4

  • 1Department of Radiation Oncology, Beaumont Health Systems, Royal Oak, MI, USA.

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|October 2, 2020
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Summary
This summary is machine-generated.

This study compared two CT-derived ventilation imaging methods, Integrated Jacobian Formulation (IJF) and Mass Conserving Volume Change (MCVC), against SPECT-ventilation (SPECT-V). The transformation-based IJF method showed higher spatial correlation with SPECT-V, indicating its potential clinical utility.

Keywords:
4DCTSPECTcomputed tomographydeformable image registrationventilation

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Area of Science:

  • Medical Imaging
  • Radiology
  • Pulmonary Function Testing

Background:

  • Computed tomography (CT)-derived ventilation imaging uses deformable image registration (DIR) to estimate lung volume changes during respiration.
  • Two primary methods, Integrated Jacobian Formulation (IJF) and Mass Conserving Volume Change (MCVC), estimate ventilation based on transformation or intensity changes, respectively.
  • Previous methods achieved robustness to DIR variations but at the cost of spatial resolution.

Purpose of the Study:

  • To evaluate the spatial correlation between robust CT-derived ventilation images and single photon emission CT-ventilation (SPECT-V).
  • To compare the performance of IJF and MCVC methods in generating ventilation images that align with SPECT-V.

Main Methods:

  • A simplified parameterized implementation of IJF and MCVC was developed, reducing unknowns and increasing data points.
  • A parameter sweep of measurement uncertainty tolerance was performed on 4DCT and SPECT-V data from 15 non-small cell lung cancer patients.
  • Voxel-wise Spearman correlation was computed between CT-derived ventilation images (IJF and MCVC) and SPECT-V.

Main Results:

  • Median correlations between MCVC and SPECT-V ranged from 0.20 to 0.48.
  • Median correlations between IJF and SPECT-V ranged from 0.79 to 0.82.
  • Optimal IJF tolerance yielded correlations between 0.12 and 0.90, while optimal MCVC tolerance yielded correlations between -0.06 and 0.84.

Conclusions:

  • Robust CT-derived ventilation imaging methods show spatial consistency with SPECT-V.
  • The transformation-based IJF method demonstrated higher correlations with SPECT-V compared to MCVC and previous literature.
  • Both IJF and MCVC methods exhibited robustness in clinical utility across varying uncertainty tolerances and DIR solutions.