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Stochastic formulation of patient positioning using linac-mounted cone beam imaging with prior knowledge

Hoegele, Wolfgang, Loeschel, Rainer, Dobler, Barbara, Hesser, J., Koelbl, Oliver and Zygmanski, P. (2011) Stochastic formulation of patient positioning using linac-mounted cone beam imaging with prior knowledge. Journal of Medical Physics 38 (2), pp. 668-681.

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Abstract

PURPOSE: In this work, a novel stochastic framework for patient positioning based on linac-mounted CB projections is introduced. Based on this formulation, the most probable shifts and rotations of the patient are estimated, incorporating interfractional deformations of patient anatomy and other uncertainties associated with patient setup. METHODS: The target position is assumed to be defined by ...

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Item type:Article
Date:2011
Institutions:Medicine > Lehrstuhl für Strahlentherapie
Identification Number:
ValueType
21452704PubMed ID
10.1118/1.3532959DOI
Classification:
NotationType
AlgorithmsMESH
Bayes TheoremMESH
Cone-Beam Computed Tomography/methodsMESH
HumansMESH
Image Processing, Computer-AssistedMESH
Patient Positioning/methodsMESH
Phantoms, ImagingMESH
Stochastic ProcessesMESH
Keywords:Bayes methods, biomechanics, computerised tomography, deformation, diagnostic radiography, feature extraction, inverse problems, maximum likelihood estimation, medical image processing, phantoms, plasticity, radiation therapy, stochastic processes, IGRT, maximum a posteriori, estimation, patient positioning, setup error
Dewey Decimal Classification:500 Science > 510 Mathematics
600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:28783
Owner only: item control page

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