Direct aperture deformation: An interfraction image guidance strategy
Autor: | Carlos R. Castro-Pareja, Yuanming Feng, Raj Shekhar, Cedric X. Yu |
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Rok vydání: | 2006 |
Předmět: |
medicine.medical_specialty
Cone beam computed tomography Aperture Computer science medicine.medical_treatment Image registration Image processing Computed tomography Translation (geometry) Prostate cancer medicine Medical imaging Dosimetry Medical physics Computer vision Computed radiography Image-guided radiation therapy medicine.diagnostic_test business.industry Geometric transformation General Medicine Intensity-modulated radiation therapy medicine.disease Radiation therapy Artificial intelligence business |
Zdroj: | Medical Physics. 33:4490-4498 |
ISSN: | 0094-2405 |
DOI: | 10.1118/1.2374675 |
Popis: | A new scheme, called direct aperture deformation (DAD), for online correction of interfraction geometric uncertainties under volumetric imaging guidance is presented. Using deformable image registration, the three-dimensional geometric transformation matrix can be derived that associates the planning image set and the images acquired on the day of treatment. Rather than replanning or moving the patient, we use the deformation matrix to morph the treatment apertures as a potential online correction method. A proof-of-principle study using an intensity-modulated radiation therapy plan for a prostate cancer patient was conducted. The method, procedure, and algorithm of DAD are described. The dose-volume histograms from the original plan, reoptimized plan, and rigid-body translation plan are compared with the ones from the DAD plan. The study showed the feasibility of the DAD as a general method for both target dislocation and deformation. As compared with using couch translation to move the patient, DAD is capable of correcting both target dislocation and deformations. As compared with reoptimization, online correction using the DAD scheme could be completed within a few minutes rather than tens of minutes and the speed gain would be at a very small cost of plan quality. |
Databáze: | OpenAIRE |
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