Stochastic formulation of patient positioning using linac-mounted cone beam imaging with prior knowledge.
Title | Stochastic formulation of patient positioning using linac-mounted cone beam imaging with prior knowledge. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Hoegele, W, Loeschel, R, Dobler, B, Hesser, J, Koelbl, O, Zygmanski, P |
Journal | Medical physics |
Volume | 38 |
Pagination | 668–81 |
Date Published | mar |
ISSN | 0094-2405 |
Keywords | Algorithms, Bayes Theorem, Computer-Assisted, Cone-Beam Computed Tomography, Cone-Beam Computed Tomography: methods, Humans, Image Processing, Imaging, Patient Positioning, Patient Positioning: methods, Phantoms, Stochastic Processes |
Abstract | 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. |
URL | http://www.ncbi.nlm.nih.gov/pubmed/21452704 |
Citation Key | Hoegele2011 |
PubMed ID | 21452704 |