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Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy.

Publication ,  Journal Article
Huang, Y-H; Ren, G; Xiao, H; Yang, D; Kong, F-MS; Ho, WY; Cai, J
Published in: Med Phys
November 2022

PURPOSE: Current computed tomography (CT)-based lung ventilation imaging (CTVI) techniques derive a static ventilation image without temporal information. This research aims to develop a four-dimensional CT (4DCT)-based multiphase dynamic ventilation imaging framework capable of recovering the entire ventilation process throughout the breathing cycle for functional lung avoidance radiotherapy (FLART). METHODS: A total of 15 free-breathing thoracic 4DCT scans of lung or esophageal cancer patients were collected from the public datasets. The lung region of each phase image was first delineated, and then the mask-free isotropic total variation image registration algorithm was used to derive the deformation vector fields between the end-expiration (EE) phase and other phases. As a surrogate of ventilation, the voxel-wise local expansion ratio of each phase relative to the EE phase was estimated using the parameterized Integrated Jacobian Formulation method in the EE phase coordinate. Lastly, the dynamic ventilation images were generated by warping these phase-specific local expansion distributions with a same geometry into their respective breathing phases. Quantitative analysis, including interphase Spearman correlation coefficients, voxel-wise, and regional-wise expansion/contraction tracking, were performed to indirectly validate the proposed method. RESULTS: The proposed method maintains the physiological meaning of ventilation on each phase and enables to recover the dynamic lung ventilation process. The mean interphase Spearman correlations ranged between 0.23 ± 0.20 and 0.93 ± 0.04 and decreased near the EE phase. Only 26.2% (2.59E + 6 out of 9.89E + 6) of lung voxels exhibited the same expansion/contraction pattern as the global lung. Qualitative and quantitative evaluations of the interphase ventilation distribution difference show that ventilation spatiotemporal heterogeneities generally exist during respiration. CONCLUSIONS: In contrast to conventional CTVI metrics, our method enables to extract additional phase-resolved respiration-correlated information and reflects the generally existed ventilation spatiotemporal heterogeneities. Subsequent studies with quantitative phase-by-phase cross-modality evaluations will further explore its potential to deepen our understanding of lung function and respiration mechanics and also to facilitate more accurate implementation of FLART.

Duke Scholars

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Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

November 2022

Volume

49

Issue

11

Start / End Page

7237 / 7246

Location

United States

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Lung
  • Humans
  • Four-Dimensional Computed Tomography
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences
 

Citation

APA
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ICMJE
MLA
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Huang, Y.-H., Ren, G., Xiao, H., Yang, D., Kong, F.-M., Ho, W. Y., & Cai, J. (2022). Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy. Med Phys, 49(11), 7237–7246. https://doi.org/10.1002/mp.15847
Huang, Yu-Hua, Ge Ren, Haonan Xiao, Dongrong Yang, Feng-Ming Spring Kong, Wai Yin Ho, and Jing Cai. “Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy.Med Phys 49, no. 11 (November 2022): 7237–46. https://doi.org/10.1002/mp.15847.
Huang Y-H, Ren G, Xiao H, Yang D, Kong F-MS, Ho WY, et al. Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy. Med Phys. 2022 Nov;49(11):7237–46.
Huang, Yu-Hua, et al. “Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy.Med Phys, vol. 49, no. 11, Nov. 2022, pp. 7237–46. Pubmed, doi:10.1002/mp.15847.
Huang Y-H, Ren G, Xiao H, Yang D, Kong F-MS, Ho WY, Cai J. Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy. Med Phys. 2022 Nov;49(11):7237–7246.

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

November 2022

Volume

49

Issue

11

Start / End Page

7237 / 7246

Location

United States

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Lung
  • Humans
  • Four-Dimensional Computed Tomography
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences