Literature DB >> 18586862

Experimental evaluation of PCXMC and prepare codes used in conventional radiology.

N Khelassi-Toutaoui1, Y Berkani, V Tsapaki, A E K Toutaoui, A Merad, A Frahi-Amroun, Z Brahimi.   

Abstract

The objective of this study is to evaluate the precision of dose-calculation computer codes used in our laboratory (PCXMC and PREPARE) for organ dose evaluation. Measurements of entrance and organ dose were performed using ionisation chamber and thermoluminescence dosimetry. To obtain a mean dose of organ, we have used the Rando-Alderson phantom. The results showed that computed and measured doses correlate well (within 28%) in 60% of the samples. The percentage shows that the computed doses correlate with the experimental doses rather well for PCXMC software than PREPARE. Although the two programs are based on the Monte-Carlo method, their calculations differ. PCXMC carries out a simulation of the trajectory of the photon, whereas PREPARE provides interpolated values. Our experimental results are close to the values given by the PCXMC, a program which takes into account the weight, the height of the patient and field dimensions.

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Year:  2008        PMID: 18586862     DOI: 10.1093/rpd/ncn183

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  5 in total

1.  Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Authors:  Donghoon Lee; Hee-Joung Kim
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

2.  Oblique lateral radiographs and bitewings; estimation of organ doses in head and neck region with Monte Carlo calculations.

Authors:  J K M Aps; J M Scott
Journal:  Dentomaxillofac Radiol       Date:  2014-05-16       Impact factor: 2.419

3.  Effective dose assessment for participants in the National Lung Screening Trial undergoing posteroanterior chest radiographic examinations.

Authors:  Randell Kruger; Michael J Flynn; Phillip F Judy; Christopher H Cagnon; J Anthony Seibert
Journal:  AJR Am J Roentgenol       Date:  2013-07       Impact factor: 3.959

4.  Estimated radiation risk of cancer from dental cone-beam computed tomography imaging in orthodontics patients.

Authors:  Jih-Kuei Yeh; Chia-Hui Chen
Journal:  BMC Oral Health       Date:  2018-08-03       Impact factor: 2.757

5.  Estimation of the effective dose of dental cone-beam computed tomography using personal computer-based Monte Carlo software.

Authors:  Eun-Kyung Kim; Won-Jeong Han; Jin-Woo Choi; Bulgan Battulga
Journal:  Imaging Sci Dent       Date:  2018-03-19
  5 in total

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