Investigation of optimal scanning protocol for X-ray computed tomography polymer gel dosimetry

Sellakumar, P.; Samuel, E. James Jebaseelan; Supe, Sanjay S.

doi:10.1016/j.nimb.2007.09.022

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…The 50–50 MANOVA analysis of parameter samples (Table 3) showed that most of the variation in CT value was explained by the chemical composition of the samples (96.8%). As expected (Allen and Leymaster 1985; Qamhiyeh 2007; Sellakumar and others 2007), the most important scanner parameter was tube voltage, which explained 2% of the variance in CT values of the parameter samples. Also, Figure 2 shows that CT values of different tissue depended on the tube voltage.…”

Section: Resultssupporting

confidence: 76%

“…Literature discussing CT scan protocols focuses on minimizing the image noise, but low noise and high separation are 2 different phenomena. A low tube voltage (80 kV) is associated with a high standard deviation in the CT values of the image (Sellakumar and others 2007), as confirmed by our study. Allen and Leymaster (1985) found a 37% reduction in noise by increasing the voltage from 96 to 125 kV; however, CT image noise is mainly due to random variations in detected x‐ray intensity (Jørgensen 2002; Goldman 2007a), and is thus probably a more significant problem in qualitative than in quantitative CT. Also, the samples in this study were small, reducing the need for high energy photons.…”

supporting

confidence: 85%

“…In general, image noise is reduced by applying a higher radiation dose (Goldman 2007a). The specific effects of different scanning protocols on image noise have been investigated (Allen and Leymaster 1985; Sellakumar and others 2007). These studies focus on minimizing noise, and a tube voltage as high as possible was suggested.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Sodium Chloride in Pork Meat by Computed Tomography at Different Voltages

Håseth¹,

Høy²,

Kongsro³

et al. 2008

Journal of Food Science

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Ground pork samples simulating the widely different chemical composition of hams during dry-cured ham production were produced and scanned by x-ray computed tomography (CT). Chemical composition accounted for most of the variation in CT values (97%). Tube voltage (80, 110, and 130 kV) affected CT value and the effect varied between different types of tissue. Sodium chloride (NaCl) was predicted in the ground samples with average prediction errors (RMSEP) as low as 0.2% to 1.0% NaCl. NaCl was also predicted in small samples of raw to dry-cured ham. When dry and fat ham samples were left out of the models, NaCl was predicted with a high precision (RMSEP 0.2% to 0.4% NaCl, R(2) > 0.99). CT can be used as a valuable, nondestructive tool to analyze distribution of and quantify NaCl in ham during dry-curing.

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Section: Resultssupporting

confidence: 76%

supporting

confidence: 85%

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Determination of Sodium Chloride in Pork Meat by Computed Tomography at Different Voltages

Håseth¹,

Høy²,

Kongsro³

et al. 2008

Journal of Food Science

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show abstract

“…Scanning parameters can be optimized [ 366 , 367 ], and it is concluded that minimizing phantom size and maximizing tube voltage are recommended. In the light of scanning parameter optimization, a conventional X-ray computed tomography scanner was modeled by use of a Monte Carlo simulation [ 368 ]. An additional strategy to increase the SNR in the X-ray derived dose maps is the use of post-processing image filtering techniques [ 369 , 370 , 371 ].…”

Section: Readout Systemsmentioning

confidence: 99%

Radiation Dosimetry by Use of Radiosensitive Hydrogels and Polymers: Mechanisms, State-of-the-Art and Perspective from 3D to 4D

Deene

2022

Gels

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Gel dosimetry was developed in the 1990s in response to a growing need for methods to validate the radiation dose distribution delivered to cancer patients receiving high-precision radiotherapy. Three different classes of gel dosimeters were developed and extensively studied. The first class of gel dosimeters is the Fricke gel dosimeters, which consist of a hydrogel with dissolved ferrous ions that oxidize upon exposure to ionizing radiation. The oxidation results in a change in the nuclear magnetic resonance (NMR) relaxation, which makes it possible to read out Fricke gel dosimeters by use of quantitative magnetic resonance imaging (MRI). The radiation-induced oxidation in Fricke gel dosimeters can also be visualized by adding an indicator such as xylenol orange. The second class of gel dosimeters is the radiochromic gel dosimeters, which also exhibit a color change upon irradiation but do not use a metal ion. These radiochromic gel dosimeters do not demonstrate a significant radiation-induced change in NMR properties. The third class is the polymer gel dosimeters, which contain vinyl monomers that polymerize upon irradiation. Polymer gel dosimeters are predominantly read out by quantitative MRI or X-ray CT. The accuracy of the dosimeters depends on both the physico-chemical properties of the gel dosimeters and on the readout technique. Many different gel formulations have been proposed and discussed in the scientific literature in the last three decades, and scanning methods have been optimized to achieve an acceptable accuracy for clinical dosimetry. More recently, with the introduction of the MR-Linac, which combines an MRI-scanner and a clinical linear accelerator in one, it was shown possible to acquire dose maps during radiation, but new challenges arise.

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N-isopropylacrylamide gel dosimeter to evaluate clinical photon beam characteristics

Chiu

Tsang

Hsieh

2014

Applied Radiation and Isotopes

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Investigation of optimal scanning protocol for X-ray computed tomography polymer gel dosimetry

Cited by 9 publications

References 26 publications

Determination of Sodium Chloride in Pork Meat by Computed Tomography at Different Voltages

Determination of Sodium Chloride in Pork Meat by Computed Tomography at Different Voltages

Radiation Dosimetry by Use of Radiosensitive Hydrogels and Polymers: Mechanisms, State-of-the-Art and Perspective from 3D to 4D

N-isopropylacrylamide gel dosimeter to evaluate clinical photon beam characteristics

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