Literature DB >> 21520868

Measurement of regional compliance using 4DCT images for assessment of radiation treatment.

Hualiang Zhong1, Jian-Yue Jin, Munther Ajlouni, Benjamin Movsas, Indrin J Chetty.   

Abstract

PURPOSE: Radiation-induced damage, such as inflammation and fibrosis, can compromise ventilation capability of local functional units (alveoli) of the lung. Ventilation function as measured with ventilation images, however, is often complicated by the underlying mechanical variations. The purpose of this study is to present a 4DCT-based method to measure the regional ventilation capability, namely, regional compliance, for the evaluation of radiation-induced lung damage.
METHODS: Six 4DCT images were investigated in this study: One previously used in the generation of a POPI model and the other five acquired at Henry Ford Health System. A tetrahedral geometrical model was created and scaled to encompass each of the 4DCT image domains. Image registrations were performed on each of the 4DCT images using a multiresolution Demons algorithm. The images at the end of exhalation were selected as a reference. Images at other exhalation phases were registered to the reference phase. For the POPI-modeled patient, each of these registration instances was validated using 40 landmarks. The displacement vector fields (DVFs) were used first to calculate the volumetric variation of each tetrahedron, which represents the change in the air volume. The calculated results were interpolated to generate 3D ventilation images. With the computed DVF, a finite element method (FEM) framework was developed to compute the stress images of the lung tissue. The regional compliance was then defined as the ratio of the ventilation and stress values and was calculated for each phase. Based on iterative FEM simulations, the potential range of the mechanical parameters for the lung was determined by comparing the model-computed average stress to the clinical reference value of airway pressure. The effect of the parameter variations on the computed stress distributions was estimated using Pearson correlation coefficients.
RESULTS: For the POPI-modeled patient, five exhalation phases from the start to the end of exhalation were denoted by P(i), i = 1, ..., 5, respectively. The average lung volume variation relative to the reference phase (P5) was reduced from 18% at P1 to 4.8% at P4. The average stress at phase P(i) was 1.42, 1.34, 0.74, and 0.28 kPa, and the average regional compliance was 0.19, 0.20, 0.20, and 0.24 for i = 1, ..., 4, respectively. For the other five patients, their average R(v) value at the end-inhalation phase was 21.1%, 19.6%, 22.4%, 22.5%, and 18.8%, respectively, and the regional compliance averaged over all six patients is 0.2. For elasticity parameters chosen from the potential parameter range, the resultant stress distributions were found to be similar to each other with Pearson correlation coefficients greater than 0.81.
CONCLUSIONS: A 4DCT-based mechanical model has been developed to calculate the ventilation and stress images of the lung. The resultant regional compliance represents the lung's elasticity property and is potentially useful in correlating regions of lung damage with radiation dose following a course of radiation therapy.

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Year:  2011        PMID: 21520868      PMCID: PMC3060935          DOI: 10.1118/1.3555299

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  30 in total

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6.  A new method to analyze lung compliance when pressure-volume relationship is nonlinear.

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7.  A methodology for using SPECT to reduce intensity-modulated radiation therapy (IMRT) dose to functioning lung.

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8.  Simultaneous measurement of force and respiratory profiles during chest physiotherapy in ventilated children.

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9.  Reduction of normal lung irradiation in locally advanced non-small-cell lung cancer patients, using ventilation images for functional avoidance.

Authors:  Brian P Yaremko; Thomas M Guerrero; Josue Noyola-Martinez; Rudy Guerra; David G Lege; Linda T Nguyen; Peter A Balter; James D Cox; Ritsuko Komaki
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10.  Patient-specific finite element modeling of respiratory lung motion using 4D CT image data.

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Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

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2.  A finite element method to correct deformable image registration errors in low-contrast regions.

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3.  Four-dimensional computed tomography-based biomechanical measurements of pulmonary function and their correlation with clinical outcome for lung stereotactic body radiation therapy patients.

Authors:  Hoda Sharifi; Gary C McDonald; Joon Kyu Lee; Munther I Ajlouni; Indrin J Chetty; Hualiang Zhong
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4.  Using patient-specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy.

Authors:  Nick Stanley; Carri Glide-Hurst; Jinkoo Kim; Jeffrey Adams; Shunshan Li; Ning Wen; Indrin J Chetty; Hualiang Zhong
Journal:  J Appl Clin Med Phys       Date:  2013-11-04       Impact factor: 2.102

  4 in total

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