Methods Inf Med - Simulation of range imaging-based estimation of respiratory lung motion. Influence of noise, signal dimensionality and sampling patterns.

Tópicos

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Resumo

JECTIVES: A major problem associated with the irradiation of thoracic and abdominal tumors is respiratory motion. In clinical practice, motion compensation approaches are frequently steered by low-dimensional breathing signals (e.g., spirometry) and patient-specific correspondence models, which are used to estimate the sought internal motion given a signal measurement. Recently, the use of multidimensional signals derived from range images of the moving skin surface has been proposed to better account for complex motion patterns. In this work, a simulation study is carried out to investigate the motion estimation accuracy of such multidimensional signals and the influence of noise, the signal dimensionality, and different sampling patterns (points, lines, regions).METHODS: A diffeomorphic correspondence modeling framework is employed to relate multidimensional breathing signals derived from simulated range images to internal motion patterns represented by diffeomorphic non-linear transformations. Furthermore, an automatic approach for the selection of optimal signal combinations/patterns within this framework is presented.RESULTS: This simulation study focuses on lung motion estimation and is based on 28 4D CT data sets. The results show that the use of multidimensional signals instead of one-dimensional signals significantly improves the motion estimation accuracy, which is, however, highly affected by noise. Only small differences exist between different multidimensional sampling patterns (lines and regions). Automatically determined optimal combinations of points and lines do not lead to accuracy improvements compared to results obtained by using all points or lines.CONCLUSIONS: Our results show the potential of multidimensional breathing signals derived from range images for the model-based estimation of respiratory motion in radiation therapy.

Resumo Limpo

jectiv major problem associ irradi thorac abdomin tumor respiratori motion clinic practic motion compens approach frequent steer lowdimension breath signal eg spirometri patientspecif correspond model use estim sought intern motion given signal measur recent use multidimension signal deriv rang imag move skin surfac propos better account complex motion pattern work simul studi carri investig motion estim accuraci multidimension signal influenc nois signal dimension differ sampl pattern point line regionsmethod diffeomorph correspond model framework employ relat multidimension breath signal deriv simul rang imag intern motion pattern repres diffeomorph nonlinear transform furthermor automat approach select optim signal combinationspattern within framework presentedresult simul studi focus lung motion estim base d ct data set result show use multidimension signal instead onedimension signal signific improv motion estim accuraci howev high affect nois small differ exist differ multidimension sampl pattern line region automat determin optim combin point line lead accuraci improv compar result obtain use point linesconclus result show potenti multidimension breath signal deriv rang imag modelbas estim respiratori motion radiat therapi

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