Improvement of metallic artifacts in computed tomography in the absence of artifact reduction algorithms for spinal treatment planning applications

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dc.contributor.authorAlinejad, Marjanen_US
dc.contributor.authorPourmoghaddas, Amiren_US
dc.contributor.authorAmouheidari, Alirezaen_US
dc.contributor.authorShokrani, Parvanehen_US
dc.date.accessioned2020-11-18T10:08:11Z
dc.date.available2020-11-18T10:08:11Z
dc.date.issued2020-09
dc.description.abstractAim of Study: The goal of this research was to investigate if application of optimized imaging parameters, recommended in literature, would be effective in producing the image quality required for treatment planning of spinal radiation fields with metallic implants. Materials and Methods: CT images from an anthropomorphic torso phantom with and without spinal implants were acquired using different imaging protocols: raising kVp and mAs, reducing the pitch and applying an extended CT scale (ECTS) technique. Profiles of CT number (CT#) were produced using DICOM data of each image. The effect of artifact on dose calculation accuracy was investigated using the image data in the absence of implant as a reference and the recommended electron density tolerance levels (Δρe). Results: Raising the kVp was the only method that produced improvement to some degree in CT# in artifact regions. Application of ECTS improved CT# values only for metal. Conclusions: Although raising the kVp was effective in reducing metallic artifact, the significance of this effect on Δρe values in corrected images depends on the required tolerance for treatment planning dose calculation accuracy. ECTS method was only successful in correcting the CT number range in the metal. Although, application of ECTS method did not have any effect on artifact regions, its use is necessary in order to improve delineation of metal and accuracy of attenuation calculations in metal, provided that the treatment planning system can use an extended CT# calibration curve. Also, for Monte Carlo calculations using patient's images, ECTS-post-processed-CT images improve dose calculation accuracy for impure metalsen_US
dc.identifier.affiliationsDepartment of Medical Physics, Guilan University of Medical Sciences, Rasht, Iranen_US
dc.identifier.affiliationsDepartment of Radiation Oncology, St. Jude Children's Research Hospital Memphis, TN, USAen_US
dc.identifier.affiliationsDepartment of Oncology, Milad Hospital, Isfahan, Iranen_US
dc.identifier.affiliations|Department of Medical Physics, Isfahan University of Medical Sciences, Isfahan, Iranen_US
dc.identifier.citationAlinejad Marjan, Pourmoghaddas Amir, Amouheidari Alireza, Shokrani Parvaneh. Improvement of metallic artifacts in computed tomography in the absence of artifact reduction algorithms for spinal treatment planning applications. Journal of Cancer Research and Therapeutics. 2020 Sep; 16(4): 878-883en_US
dc.identifier.issn0973-1482
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/213719
dc.languageenen_US
dc.publisherWolters Kluwer India Pvt. Ltd.en_US
dc.relation.issuenumber4en_US
dc.relation.volume16en_US
dc.source.urihttps://dx.doi.org//10.4103/jcrt.JCRT_1446_16en_US
dc.subjectComputed tomography image artifacten_US
dc.subjectextended computed tomography scaleen_US
dc.subjectspinal metallic implanten_US
dc.subjecttreatment planningen_US
dc.titleImprovement of metallic artifacts in computed tomography in the absence of artifact reduction algorithms for spinal treatment planning applicationsen_US
dc.typeJournal Articleen_US
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