Comparison of two respiration monitoring systems for 4D imaging with a Siemens CT using a new dynamic breathing phantom

• Verfasst von: Vásquez Torres, Andrés [VerfasserIn]
• Verfasst von: Echner, Gernot [VerfasserIn]
• Verfasst von: Sroka-Pérez, Gabriele [VerfasserIn]
• Verfasst von: Karger, Christian [VerfasserIn]
• Titel: Comparison of two respiration monitoring systems for 4D imaging with a Siemens CT using a new dynamic breathing phantom
• Verf.angabe: AC Vásquez, A Runz, G Echner, G Sroka-Perez and CP Karger
• E-Jahr: 2012
• Jahr: 13 April 2012
• Umfang: 13 S.
• Illustrationen: Illustrationen
• Teil: volume:57
• Teil: year:2012
• Teil: number:9
• Teil: pages:N131-N143
• Teil: extent:13
• Fussnoten: Gesehen am 17.10.2018
• Titel Quelle: Enthalten in: Physics in medicine and biology
• Ort Quelle: Bristol : IOP Publ., 1956
• Jahr Quelle: 2012
• Band/Heft Quelle: 57(2012), 9, Seite N131-N143
• ISSN Quelle: 1361-6560
• DOI: doi:10.1088/0031-9155/57/9/N131
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1582029482

Abstract

Four-dimensional computed tomography (4D-CT) requires breathing information from the patient, and for this, several systems are available. Testing of these systems, under realistic conditions, requires a phantom with a moving target and an expandable outer contour. An anthropomorphic phantom was developed to simulate patient breathing as well as lung tumor motion. Using the phantom, an optical camera system (GateCT) and a pressure sensor (AZ-733V) were simultaneously operated, and 4D-CTs were reconstructed with a Siemens CT using the provided local-amplitude-based sorting algorithm. The comparison of the tumor trajectories of both systems revealed discrepancies up to 9.7 mm. Breathing signal differences, such as baseline drift, temporal resolution and noise level were shown not to be the reason for this. Instead, the variability of the sampling interval and the accuracy of the sampling rate value written on the header of the GateCT-signal file were identified as the cause. Interpolation to regular sampling intervals and correction of the sampling rate to the actual value removed the observed discrepancies. Consistently, the introduction of sampling interval variability and inaccurate sampling rate values into the header of the AZ-733V file distorted the tumor trajectory for this system. These results underline the importance of testing new equipment thoroughly, especially if components of different manufacturers are combined.