Szkitsak J, Karius A, Hofmann C, Fietkau R, Bert C, Speer S (2022)
Publication Type: Journal article
Publication year: 2022
Book Volume: 23
Pages Range: 85-91
DOI: 10.1016/j.phro.2022.06.007
Background & purpose: Four-dimensional computed tomography (4DCT) scans are standardly used for radiotherapy planning of tumors subject to respiratory motion. Based on online analysis and automatic adaption of scan parameters to the patient's individual breathing pattern, a new breathing-controlled 4DCT (i4DCT) algorithm attempts to counteract irregular breathing and thus prevent artifacts. The aim of this study was to perform an initial quality assurance for i4DCT. Material & methods: To validate the i4DCT algorithm, phantom measurements were performed to evaluate geometric accuracy (diameter, volume, eccentricity), image quality (dose-normalized contrast-noise-ratio, CT number accuracy), and correct representation of motion amplitude of simulated tumor lesions. Furthermore, the impact of patient weight and resulting table flexion on the measurements was investigated. Static three-dimensional CT (3DCT) scans were used as ground truth. Results: The median volume deviation magnitude between 4DCT and 3DCT was < 2% (<0.2 cm3). The volume differences ranged from –8% (–1.0 cm3) to 3% (0.4 cm3). Median tumor diameter deviation magnitudes were < 2% (<0.7 mm) for regular and < 3.5% (<1.0 mm) for irregular breathing. For eccentricity, a median deviation magnitude of < 0.05 for regular and < 0.08 for irregular breathing curves was found. The respiratory amplitude was represented with a median accuracy of < 0.5 mm. CT numbers and dose-normalized contrast-noise-ratio showed no clinically relevant difference between 4DCT and 3DCT. Table flexion proved to have no clinically relevant impact on geometric accuracy. Conclusions: The breathing-controlled algorithm provides in general good results regarding image quality, geometric accuracy, and correct depiction of motion amplitude for regular and irregular breathing.
APA:
Szkitsak, J., Karius, A., Hofmann, C., Fietkau, R., Bert, C., & Speer, S. (2022). Quality assurance of a breathing controlled four-dimensional computed tomography algorithm. Physics and Imaging in Radiation Oncology, 23, 85-91. https://dx.doi.org/10.1016/j.phro.2022.06.007
MLA:
Szkitsak, Juliane, et al. "Quality assurance of a breathing controlled four-dimensional computed tomography algorithm." Physics and Imaging in Radiation Oncology 23 (2022): 85-91.
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