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Automated Estimation of Patient's Size from 3D Image of Patient for Size Specific Dose Estimates (SSDE)

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In this paper, a new approach of automated calculation of effective diameter from 3D CT image in DICOM format is proposed. This effective diameter is used to assess the Size-Specific Dose estimates (SSDE). The SSDE is the appropriate metric to indicate the estimation of patient's dose, while the volume computed tomography dose index (CTDIvol) is the metric to indicate the output dose of CT scanner. In this study, the effective diameters for standard phantoms and patients images are calculated automatically. Two types of standard phantoms, i.e., head and body phantoms, were used in this investigation. Ten images were taken for each phantom. Twenty-five images of patients who underwent thoracic computed tomography examinations were taken. Automated calculation of the effective diameter and SSDE from the 3D CT image in DICOM format were successfully carried out. The results of this study show that the average of the automated effective diameters of the head and body phantoms were 15.90 and 31.97 cm respectively. The effective diameters of patients calculated automatically were highly linearly correlated (R 2 = 0.996) with the manual calculation. The automatic calculation of the effective diameters for patients were slightly lower (less than 0.2 cm) than the manual calculations.
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Keywords: AUTOMATED CALCULATION OF EFFECTIVE DIAMETER; CT SCAN; CTDI; PATIENT DOSE ESTIMATION; SSDE

Document Type: Research Article

Publication date: 01 October 2015

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  • Advanced Science, Engineering and Medicine (ASEM) is a science, engineering, technical and medical journal focused on the publishing of peer-reviewed multi-disciplinary research articles dealing with all fundamental and applied research aspects in the areas of (1) Physical Sciences, (2) Engineering, (3) Biological Sciences/Health Sciences, (4) Medicine, (5) Computer and Information Sciences, (6) Mathematical Sciences, (7) Agriculture Science and Engineering, (8) Geosciences, and (9) Energy/Fuels/Environmental/Green Science and Engineering.
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