Respiratory effort correction strategies to improve the reproducibility of lung expansion measurements.

PURPOSE Four-dimensional computed tomography (4DCT) can be used to make measurements of pulmonary function longitudinally. The sensitivity of such measurements to identify change depends on measurement uncertainty. Previously, intrasubject reproducibility of Jacobian-based measures of lung tissue expansion was studied in two repeat prior-RT 4DCT human acquisitions. Difference in respiratory effort such as breathing amplitude and frequency may affect longitudinal function assessment. In this study, the authors present normalization schemes that correct ventilation images for variations in respiratory effort and assess the reproducibility improvement after effort correction. METHODS Repeat 4DCT image data acquired within a short time interval from 24 patients prior to radiation therapy (RT) were used for this analysis. Using a tissue volume preserving deformable image registration algorithm, Jacobian ventilation maps in two scanning sessions were computed and compared on the same coordinate for reproducibility analysis. In addition to computing the ventilation maps from end expiration to end inspiration, the authors investigated the effort normalization strategies using other intermediated inspiration phases upon the principles of equivalent tidal volume (ETV) and equivalent lung volume (ELV). Scatter plots and mean square error of the repeat ventilation maps and the Jacobian ratio map were generated for four conditions: no effort correction, global normalization, ETV, and ELV. In addition, gamma pass rate was calculated from a modified gamma index evaluation between two ventilation maps, using acceptance criterions of 2 mm distance-to-agreement and 5% ventilation difference. RESULTS The pattern of regional pulmonary ventilation changes as lung volume changes. All effort correction strategies improved reproducibility when changes in respiratory effort were greater than 150 cc (p < 0.005 with regard to the gamma pass rate). Improvement of reproducibility was correlated with respiratory effort difference (R = 0.744 for ELV in the cohort with tidal volume difference greater than 100 cc). In general for all subjects, global normalization, ETV and ELV significantly improved reproducibility compared to no effort correction (p = 0.009, 0.002, 0.005 respectively). When tidal volume difference was small (less than 100 cc), none of the three effort correction strategies improved reproducibility significantly (p = 0.52, 0.46, 0.46 respectively). For the cohort (N = 13) with tidal volume difference greater than 100 cc, the average gamma pass rate improves from 57.3% before correction to 66.3% after global normalization, and 76.3% after ELV. ELV was found to be significantly better than global normalization (p = 0.04 for all subjects, and p = 0.003 for the cohort with tidal volume difference greater than 100 cc). CONCLUSIONS All effort correction strategies improve the reproducibility of the authors' pulmonary ventilation measures, and the improvement of reproducibility is highly correlated with the changes in respiratory effort. ELV gives better results as effort difference increase, followed by ETV, then global. However, based on the spatial and temporal heterogeneity in the lung expansion rate, a single scaling factor (e.g., global normalization) appears to be less accurate to correct the ventilation map when changes in respiratory effort are large.

[1]  Milan Sonka,et al.  Characterization and identification of spatial artifacts during 4D-CT imaging. , 2011, Medical physics.

[2]  Kai Ding,et al.  4DCT-based measurement of changes in pulmonary function following a course of radiation therapy. , 2010, Medical physics.

[3]  Peter A Balter,et al.  Reduction of normal lung irradiation in locally advanced non-small-cell lung cancer patients, using ventilation images for functional avoidance. , 2007, International journal of radiation oncology, biology, physics.

[4]  J. Buatti,et al.  Use of Music-based Breathing Training to Stabilize Breathing Motion in Respiration Correlated Imaging and Radiation Delivery , 2008 .

[5]  Brett A. Simon,et al.  Non-Invasive Imaging of Regional Lung Function using X-Ray Computed Tomography , 2004, Journal of Clinical Monitoring and Computing.

[6]  Gary E. Christensen,et al.  Tissue volume and vesselness measure preserving nonrigid registration of lung CT images , 2010, Medical Imaging.

[7]  P Baas,et al.  Radiation dose-effect relations and local recovery in perfusion for patients with non-small-cell lung cancer. , 2000, International journal of radiation oncology, biology, physics.

[8]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[9]  Thomas Guerrero,et al.  Quantification of regional ventilation from treatment planning CT. , 2005, International journal of radiation oncology, biology, physics.

[10]  Tinsu Pan,et al.  Four-dimensional computed tomography: image formation and clinical protocol. , 2005, Medical physics.

[11]  Gary E. Christensen,et al.  Reproducibility of registration-based measures of lung tissue expansion. , 2012, Medical physics.

[12]  T. B. Nyeng,et al.  Clinical validation of a 4D-CT based method for lung ventilation measurement in phantoms and patients , 2011, Acta oncologica.

[13]  Thomas Guerrero,et al.  Use of weekly 4DCT-based ventilation maps to quantify changes in lung function for patients undergoing radiation therapy. , 2011, Medical physics.

[14]  M. Reiser,et al.  Cardiac imaging by means of electrocardiographically gated multisection spiral CT: initial experience. , 2000, Radiology.

[15]  R. Jaszczak,et al.  Radiation-induced reductions in regional lung perfusion: 0.1-12 year data from a prospective clinical study. , 2010, International journal of radiation oncology, biology, physics.

[16]  Brian B. Avants,et al.  Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge , 2011, IEEE Transactions on Medical Imaging.

[17]  Thomas Guerrero,et al.  Ventilation from four-dimensional computed tomography: density versus Jacobian methods , 2010, Physics in medicine and biology.

[18]  L. Mathew Quantification of Pulmonary Ventilation using Hyperpolarized 3He Magnetic Resonance Imaging , 2011 .

[19]  Cristian Lorenz,et al.  Impact of four-dimensional computed tomography pulmonary ventilation imaging-based functional avoidance for lung cancer radiotherapy. , 2011, International journal of radiation oncology, biology, physics.

[20]  G. Christensen,et al.  Establishing a Relationship Between Radiosensitivity of Lung Tissue and Ventilation , 2012 .

[21]  Gary E. Christensen,et al.  Registration-based measurement of regional expiration volume ratio using dynamic 4DCT imaging , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[22]  I. Chetty,et al.  Measurement of regional compliance using 4DCT images for assessment of radiation treatment. , 2011, Medical physics.

[23]  Thomas Guerrero,et al.  Spatial correspondence of 4D CT ventilation and SPECT pulmonary perfusion defects in patients with malignant airway stenosis , 2012, Physics in medicine and biology.

[24]  Kai Ding,et al.  Reproducibility of intensity-based estimates of lung ventilation. , 2013, Medical physics.

[25]  Cristian Lorenz,et al.  Reproducibility of four-dimensional computed tomography-based lung ventilation imaging. , 2012, Academic radiology.

[26]  R. Mohan,et al.  Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. , 2003, Physics in medicine and biology.

[27]  Tinsu Pan,et al.  Dynamic ventilation imaging from four-dimensional computed tomography , 2006, Physics in medicine and biology.

[28]  J. Reinhardt,et al.  WE‐E‐BRC‐07: Evaluate Reproducibility of 4DCT Registration‐Based Lung Ventilation Measurement with Gamma Comparison Method , 2011 .

[29]  G. Christensen,et al.  Regularized Nonrigid Registration of Lung CT I m ages by Preserving Tissue Volu m e and Vesselness Measure , 2010 .

[30]  Eric A. Hoffman,et al.  Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation , 2008, Medical Image Anal..