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Clinical validation of a 4D-CT based method for lung ventilation measurement in phantoms and patients

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Lung cancer patients referred to radiotherapy (RT) often present with regional lung function deficits, and it is therefore of interest to image their lung function prior to treatment. In this study a method was developed that uses a deformable image registration (DIR) between the peak-inhale and peak-exhale phases of a thoracic four-dimensional computed tomography (4D-CT) scan to extract ventilation information. The method calculates the displacement vector fields (DVFs) resulting from the DIR using the Jacobian map approach in order to extract information regarding regional lung volume change.
Original languageEnglish
JournalActa Oncologica
Pages (from-to)897-907
Number of pages11
Publication statusPublished - Aug 2011

    Research areas

  • Algorithms, Carcinoma, Non-Small-Cell Lung, Four-Dimensional Computed Tomography, Humans, Lung Neoplasms, Phantoms, Imaging, Prognosis, Pulmonary Ventilation, Radiographic Image Interpretation, Computer-Assisted, Radiosurgery, Radiotherapy, Intensity-Modulated, Respiration, Tomography, X-Ray Computed

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