Experimental study of six parameter patient registration from helical MV fan-beam data

Fitchard, E.; Olivera, G.; Ruchala, K; Kapatoes, Jeff; Hinderer, R.; Reckwerdt, Paul; Mackie, Rock

doi:10.1007/978-3-642-59758-9_220

Cited by 1 publication

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“…This integration of equipment on a single gantry allows for a host of verification processes. Specifically, patient registration in projection space, 14,15 delivery modification without the need for reoptimization, 16 megavoltage CT imaging ͑MVCT͒, [17][18][19][20] DV, 1,2,7 and DR 4,7-10 will be possible. The transfer matrix approach to DV and DR described previously are verification techniques for general radiotherapy and dynamic intensity modulated radiation therapy as well as tomotherapy: In principle the processes and that described in this manuscript can be used for other delivery strategies ͑e.g., those using dynamic MLCs͒.…”

Section: Introductionmentioning

confidence: 99%

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A feasible method for clinical delivery verification and dose reconstruction in tomotherapy

et al. 2001

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Delivery verification is the process in which the energy fluence delivered during a treatment is verified. This verified energy fluence can be used in conjunction with an image in the treatment position to reconstruct the full three-dimensional dose deposited. A method for delivery verification that utilizes a measured database of detector signal is described in this work. This database is a function of two parameters, radiological path-length and detector-to-phantom distance, both of which are computed from a CT image taken at the time of delivery. Such a database was generated and used to perform delivery verification and dose reconstruction. Two experiments were conducted: a simulated prostate delivery on an inhomogeneous abdominal phantom, and a nasopharyngeal delivery on a dog cadaver. For both cases, it was found that the verified fluence and dose results using the database approach agreed very well with those using previously developed and proven techniques. Delivery verification with a measured database and CT image at the time of treatment is an accurate procedure for tomotherapy. The database eliminates the need for any patient-specific, pre-or post-treatment measurements. Moreover, such an approach creates an opportunity for accurate, real-time delivery verification and dose reconstruction given fast image reconstruction and dose computation tools.

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