Quantification of regional ventilation from treatment planning CT
| Autor: | Kevin Sanders, Ritsuko Komaki, Yin Zhang, Rudy Guerra, Richard A. Tapia, Thomas Guerrero, Yerko Borghero, Josue Noyola-Martinez, Edward M. Castillo |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Cancer Research
medicine.medical_specialty Lung Neoplasms Movement computer.software_genre Pulmonary function testing Voxel Carcinoma Non-Small-Cell Lung Hounsfield scale Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Lung volumes Radiation treatment planning Lung Tidal volume Radiation business.industry Radiotherapy Planning Computer-Assisted Respiration Exhalation Oncology Breathing Radiology Lung Volume Measurements Tomography X-Ray Computed Nuclear medicine business computer Algorithms |
| Zdroj: | International Journal of Radiation Oncology*Biology*Physics. 62:630-634 |
| ISSN: | 0360-3016 |
| DOI: | 10.1016/j.ijrobp.2005.03.023 |
| Popis: | Purpose: We describe a method of quantifying regional ventilation from the radiotherapy treatment planning computed tomography (CT) images, with the goal of developing functional images for treatment planning and optimization. Methods and Materials: A series of exhalation breath-hold (eBH-CT) and inhalation breath-hold (iBH-CT) CT images obtained using a feedback-guided breath-hold technique for radiotherapy treatment planning was selected. The eBH-CT was mapped on a voxel-by-voxel basis to the iBH-CT using a deformable image registration algorithm. By using the average CT number over a 3 mm 3 region surrounding each pair of mapped voxels, the change in fraction of air per voxel (i.e., regional ventilation) was calculated. This methodology was applied to a series of 22 patients. The calculated total ventilation was compared to the change in contoured lung volumes between the exhalation and inhalation CTs (measured tidal volume). Results: A significant correlation was found between the calculated and measured tidal volumes for the left ( R = 0.982) and right ( R = 0.985), and for both lungs combined ( R = 0.985). In the resulting images, the regional ventilation was highly variable and corresponded with the spatial distribution of differences in the CT values (Hounsfield units) between the eBH-CT and the iBH-CT images. Conclusions: A method of quantifying regional ventilation from radiotherapy treatment planning CT data sets was demonstrated. The ventilation images can be used in plan optimization to minimize injury to functioning lung. |
| Databáze: | OpenAIRE |
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