Standardized Methods for Measuring Diagnostic X-Ray Exposures

Chu, Robert; Fisher, Jane; Archer, Benjamin R.; Conway, Burton J.; Goodsitt, Mitchell M.; Glaze, Sharon; Gray, Joel E.; Strauss, Keith J.

doi:10.37206/30

Cited by 35 publications

(10 citation statements)

References 11 publications

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“… 21 Between the upper and lower pairs of plates, an air gap of 5.08 cm was inserted. 22 All of the plates used measured 30.5 × 30.5 cm 2 . The PIP volumes were simulated by 10 steps of polyvinyl chloride (PVC) placed in the center of the phantom.…”

Section: Methodsmentioning

confidence: 99%

Quantification of Pulmonary Inflammatory Processes Using Chest Radiography

et al. 2015

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The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland–Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R2 = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP.

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Section: Methodsmentioning

confidence: 99%

Quantification of Pulmonary Inflammatory Processes Using Chest Radiography

et al. 2015

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“…A patient-equivalent phantom that consisted of a 30 Â 30 Â 30 cm3 acrylic cube was used to simulate scattered radiation in patients during interventional procedures [10]. The Alderson RANDO anthropomorphic phantom (model ART-200, RSD Phantoms, Long Beach, CA, USA) was placed approximately 0.5 m from the patient-equivalent phantom in the left side of the equipment.…”

Section: Reference Effective Doses and Correlation Factors Between Exmentioning

confidence: 99%

Efficiency of personal dosimetry methods in vascular interventional radiology

Neto

Alves

Mascarenhas³

et al. 2017

Physica Medica

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“…The description and use of the ANSI sensitometry chest phantom is proposed in report No. 31 which is published for the American Association of Physicists in Medicine (AAPM) by the American Institute of Physics (AIP) [ 13 ]. As can be seen in Figure 1 , the top of the chest phantom was divided into nine equal parts virtually and we made nine holes with a diameter of 2.5 mm at each center of the nine equal parts on the top of the chest phantom.…”

Section: Materials and Instrumentsmentioning

confidence: 99%

Performance Evaluation of a Multichannel All-In-One Phantom Dosimeter for Dose Measurement of Diagnostic X-ray Beam

Jeon

Yoo

Shin

et al. 2015

Sensors

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We developed a multichannel all-in-one phantom dosimeter system composed of nine sensing probes, a chest phantom, an image intensifier, and a complementary metal-oxide semiconductor (CMOS) image sensor to measure the dose distribution of an X-ray beam used in radiation diagnosis. Nine sensing probes of the phantom dosimeter were fabricated identically by connecting a plastic scintillating fiber (PSF) to a plastic optical fiber (POF). To measure the planar dose distribution on a chest phantom according to exposure parameters used in clinical practice, we divided the top of the chest phantom into nine equal parts virtually and then installed the nine sensing probes at each center of the nine equal parts on the top of the chest phantom as measuring points. Each scintillation signal generated in the nine sensing probes was transmitted through the POFs and then intensified by the image intensifier because the scintillation signal normally has a very low light intensity. Real-time scintillation images (RSIs) containing the intensified scintillation signals were taken by the CMOS image sensor with a single lens optical system and displayed through a software program. Under variation of the exposure parameters, we measured RSIs containing dose information using the multichannel all-in-one phantom dosimeter and compared the results with the absorbed doses obtained by using a semiconductor dosimeter (SCD). From the experimental results of this study, the light intensities of nine regions of interest (ROI) in the RSI measured by the phantom dosimeter were similar to the dose distribution obtained using the SCD. In conclusion, we demonstrated that the planar dose distribution including the entrance surface dose (ESD) can be easily measured by using the proposed phantom dosimeter system.

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Standardized Methods for Measuring Diagnostic X-Ray Exposures

Cited by 35 publications

References 11 publications

Quantification of Pulmonary Inflammatory Processes Using Chest Radiography

Quantification of Pulmonary Inflammatory Processes Using Chest Radiography

Efficiency of personal dosimetry methods in vascular interventional radiology

Performance Evaluation of a Multichannel All-In-One Phantom Dosimeter for Dose Measurement of Diagnostic X-ray Beam

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