Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods
| Autor: | Joseph M. Reinhardt, Eduardo G. Moros, Gary E. Christensen, Vladimir Feygelman, Kujtim Latifi, Kaifang Du, Kai Ding, Geoffrey Zhang |
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| Rok vydání: | 2016 |
| Předmět: |
Male
Xenon Materials science Image registration Signal-To-Noise Ratio computer.software_genre Spearman's rank correlation coefficient Standard deviation 030218 nuclear medicine & medical imaging 03 medical and health sciences Medical Imaging 0302 clinical medicine Hounsfield scale Image Processing Computer-Assisted Animals Radiology Nuclear Medicine and imaging Four-Dimensional Computed Tomography deformable image registration Instrumentation Sheep evaluation Radiation Respiration ventilation distribution 4D CT Signal-to-noise ratio (imaging) 030220 oncology & carcinogenesis Breathing Data mining Pulmonary Ventilation XeCT computer Algorithms Smoothing Biomedical engineering |
| Zdroj: | Journal of Applied Clinical Medical Physics |
| ISSN: | 1526-9914 |
| DOI: | 10.1120/jacmp.v17i2.5985 |
| Popis: | Ventilation distribution calculation using 4D CT has shown promising potential in several clinical applications. This study evaluated the direct geometric ventilation calculation method, namely the ΔV method, with xenon‐enhanced CT (XeCT) ventilation data from four sheep, and compared it with two other published methods, the Jacobian and the Hounsfield unit (HU) methods. Spearman correlation coefficient (SCC) and Dice similarity coefficient (DSC) were used for the evaluation and comparison. The average SCC with one standard deviation was 0.44±0.13 with a range between 0.29 and 0.61 between the XeCT and DLV ventilation distributions. The average DSC value for lower 30% ventilation volumes between the XeCT and ΔV ventilation distributions was 0.55±0.07 with a range between 0.48 and 0.63. Ventilation difference introduced by deformable image registration errors improved with smoothing. In conclusion, ventilation distributions generated using ΔV‐4D CT and deformable image registration are in reasonably agreement with the in vivo XeCT measured ventilation distribution. PACS number(s): 87.57.N‐, 87.57.nj, 87.57.Q‐, 87.85.Pq |
| Databáze: | OpenAIRE |
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