A normalization method of the volume and geometry of tooth for X-band in vivo EPR dosimetry. (July 2019)

• Record Type: Journal Article
• Authors: Zou, Jierui; Guo, Junwang; Ma, Lei; Dong, Guofu; Cong, Jianbo; Liu, Ye; Tian, Ye; Wu, Ke
• Is Part Of: Applied radiation and isotopes. Volume 149(2019:Jul.)
• Page Start: 123
• Page End: 129
• Publication Date: 2019-07
• Subjects: EPR tooth dosimetry -- In vivo -- Normalization -- Tooth geometry; Radiology -- Periodicals; Radiation -- Industrial applications -- Periodicals; Nuclear chemistry -- Periodicals; Internet resource; Periodical; 660.298
• DOI: 10.1016/j.apradiso.2019.04.023
• Languages: English
• ISSNs: 0969-8043

Abstract

Abstract: The accuracy of in vivo EPR tooth dosimetry may be influenced by the volume and geometry variations in teeth, especially when there is considerable non-uniform sensitivity distribution in the active detection area of the cavity. To solve this problem, the present research proposed a normalization method specifically for X-band EPR in vivo tooth dosimetry. The volume and geometry of the measured tooth were reconstructed by digital image processing with images of the tooth impression slices, which were obtained by a custom-made impression module. The sensitivity distribution in the active detection area was established based on experiments with a point sample. Consequently, a composite normalization process that could calibrate the evaluated dose effectively was carried out by taking into account the influences not only from tooth volume and geometry but also from the non-uniform distribution of sensitivity. The effect and practicability of the method were evaluated by incisor samples. Results showed that the standard deviation could be reduced a maximum of 54.8% approximately after the composite normalization, an improvement compared to results from solely tooth volume. The correlation coefficient of the dose-response curve could be improved from 0.731 to 0.986. The preliminary method provides an approach potentially useful on site after radiation accidents when dealing with the influence of variations in the tooth volume and geometry for X-band EPR in vivo dose estimations. Highlights: A composite normalization method combining the tooth volume with the cavity sensitivity distribution is established. An easy-to-implement and practical method for the reconstruction of tooth volume is established. Error caused by variations in the tooth volume and geometry for dose estimations is effectively reduced.