Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning

dc.contributor.authorDas, Indra J.
dc.contributor.authorCheng, Chee-Wai
dc.contributor.authorCao, Minsong
dc.contributor.authorJohnstone, Peter A. S.
dc.contributor.departmentDepartment of Radiation Oncology, IU School of Medicineen_US
dc.date.accessioned2016-09-07T15:04:43Z
dc.date.available2016-09-07T15:04:43Z
dc.date.issued2016-01
dc.description.abstractModern treatment planning systems provide accurate dosimetry in heterogeneous media (such as a patient' body) with the help of tissue characterization based on computed tomography (CT) number. However, CT number depends on the type of scanner, tube voltage, field of view (FOV), reconstruction algorithm including artifact reduction and processing filters. The impact of these parameters on CT to electron density (ED) conversion had been subject of investigation for treatment planning in various clinical situations. This is usually performed with a tissue characterization phantom with various density plugs acquired with different tube voltages (kilovoltage peak), FOV reconstruction and different scanners to generate CT number to ED tables. This article provides an overview of inhomogeneity correction in the context of CT scanning and a new evaluation tool, difference volume dose-volume histogram (DVH), dV-DVH. It has been concluded that scanner and CT parameters are important for tissue characterizations, but changes in ED are minimal and only pronounced for higher density materials. For lungs, changes in CT number are minimal among scanners and CT parameters. Dosimetric differences for lung and prostate cases are usually insignificant (<2%) in three-dimensional conformal radiation therapy and < 5% for intensity-modulated radiation therapy (IMRT) with CT parameters. It could be concluded that CT number variability is dependent on acquisition parameters, but its dosimetric impact is pronounced only in high-density media and possibly in IMRT. In view of such small dosimetric changes in low-density medium, the acquisition of additional CT data for financially difficult clinics and countries may not be warranted.en_US
dc.identifier.citationDas, I. J., Cheng, C.-W., Cao, M., & Johnstone, P. A. S. (2016). Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning. Journal of Medical Physics / Association of Medical Physicists of India, 41(1), 3–11. http://doi.org/10.4103/0971-6203.177277en_US
dc.identifier.issn0971-6203en_US
dc.identifier.urihttps://hdl.handle.net/1805/10861
dc.language.isoen_USen_US
dc.publisherMedknow Publicationsen_US
dc.relation.isversionof10.4103/0971-6203.177277en_US
dc.relation.journalJournal of Medical Physics / Association of Medical Physicists of Indiaen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/
dc.sourcePMCen_US
dc.subjectComputed tomography artifacten_US
dc.subjectcomputed tomography numberen_US
dc.subjectelectron densityen_US
dc.subjecttreatment planningen_US
dc.titleComputed tomography imaging parameters for inhomogeneity correction in radiation treatment planningen_US
dc.typeArticleen_US
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