Purpose Combined kV-MV cone-beam CT (CBCT) is a promising approach to accelerate imaging for patients with lung tumors treated with deep inspiration breath-hold. During a single breath-hold (15 s), a 3D kV-MV CBCT can be acquired, thus minimizing motion artifacts and increasing patient comfort. Prior to clinical implementation, positioning accuracy was evaluated and compared to clinically established imaging techniques. Methods and materials An inhomogeneous thorax phantom with four tumor-mimicking inlays was imaged in 10 predefined positions and registered to a planning CT. Novel kV-MV CBCT imaging (90 degrees arc) was compared to clinically established kV-chest CBCT (360 degrees) as well as nonclinical kV-CBCT and low-dose MV-CBCT (each 180 degrees). Manual registration, automatic registration provided by the manufacturer and an additional in-house developed manufacturer-independent framework based on the MATLAB registration toolkit were applied. Results Systematic setup error was reduced to 0.05 mm by high-precision phantom positioning with optical tracking. Stochastic mean displacement errors were 0.5 +/- 0.3 mm in right-left, 0.4 +/- 0.4 mm in anteroposterior and 0.0 +/- 0.4 mm in craniocaudal directions for kV-MV CBCT with manual registration (maximum errors of no more than 1.4 mm). Clinical kV-chest CBCT resulted in mean errors of 0.2 mm (other modalities: 0.4-0.8 mm). Similar results were achieved with both automatic registration methods. Conclusion The comparison study of repositioning accuracy between novel kV-MV CBCT and clinically established volume imaging demonstrated that registration accuracy is maintained below 1 mm. Since imaging time is reduced to one breath-hold, kV-MV CBCT is ideal for image guidance, e.g., in lung stereotactic ablative radiotherapy.
Towards clinical implementation of ultrafast combined kV-MV CBCT for IGRT of lung cancer Evaluation of registration accuracy based on phantom study / Arns, A; Blessing, M; Fleckenstein, J; Stsepankou, D; Boda-Heggemann, J; Simeonova-Chergou, A; Hesser, J; Lohr, F; Wenz, F; Wertz, H. - In: STRAHLENTHERAPIE UND ONKOLOGIE. - ISSN 0179-7158. - 192:5(2016), pp. 312-321. [10.1007/s00066-016-0947-2]
Towards clinical implementation of ultrafast combined kV-MV CBCT for IGRT of lung cancer Evaluation of registration accuracy based on phantom study
Lohr F;
2016
Abstract
Purpose Combined kV-MV cone-beam CT (CBCT) is a promising approach to accelerate imaging for patients with lung tumors treated with deep inspiration breath-hold. During a single breath-hold (15 s), a 3D kV-MV CBCT can be acquired, thus minimizing motion artifacts and increasing patient comfort. Prior to clinical implementation, positioning accuracy was evaluated and compared to clinically established imaging techniques. Methods and materials An inhomogeneous thorax phantom with four tumor-mimicking inlays was imaged in 10 predefined positions and registered to a planning CT. Novel kV-MV CBCT imaging (90 degrees arc) was compared to clinically established kV-chest CBCT (360 degrees) as well as nonclinical kV-CBCT and low-dose MV-CBCT (each 180 degrees). Manual registration, automatic registration provided by the manufacturer and an additional in-house developed manufacturer-independent framework based on the MATLAB registration toolkit were applied. Results Systematic setup error was reduced to 0.05 mm by high-precision phantom positioning with optical tracking. Stochastic mean displacement errors were 0.5 +/- 0.3 mm in right-left, 0.4 +/- 0.4 mm in anteroposterior and 0.0 +/- 0.4 mm in craniocaudal directions for kV-MV CBCT with manual registration (maximum errors of no more than 1.4 mm). Clinical kV-chest CBCT resulted in mean errors of 0.2 mm (other modalities: 0.4-0.8 mm). Similar results were achieved with both automatic registration methods. Conclusion The comparison study of repositioning accuracy between novel kV-MV CBCT and clinically established volume imaging demonstrated that registration accuracy is maintained below 1 mm. Since imaging time is reduced to one breath-hold, kV-MV CBCT is ideal for image guidance, e.g., in lung stereotactic ablative radiotherapy.File | Dimensione | Formato | |
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