2012
DOI: 10.1016/j.nima.2012.01.018
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Silicon strip detector for a novel 2D dosimetric method for radiotherapy treatment verification

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Cited by 16 publications
(23 citation statements)
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“…An ideal dosimeter has perfectly linear response as a function of the dose delivered [21]. To determine linearity, the detectors were irradiated using a medical linac at 'standard conditions', which refers to using a 6 MV linac and placing the detector at 1.5 cm depth in a water equivalent plastic phantom and irradiated by a 10 cm x 10 cm field at 600 …”
Section: E Linearitymentioning
confidence: 99%
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“…An ideal dosimeter has perfectly linear response as a function of the dose delivered [21]. To determine linearity, the detectors were irradiated using a medical linac at 'standard conditions', which refers to using a 6 MV linac and placing the detector at 1.5 cm depth in a water equivalent plastic phantom and irradiated by a 10 cm x 10 cm field at 600 …”
Section: E Linearitymentioning
confidence: 99%
“…The equalization factor was obtained by normalizing the response of each individual channel to the flat field (X i ) to the average response of all channels <X>, thus generating the equalization factor F i . To get the data equalized X eq-i , the response of each pixel X i is normalized by the equalization factor F i [21] as shown by (1). Three MP512 detector samples with different p-stop implantation concentrations were irradiated and their uniformity analyzed to evaluate their effect on the detector response.…”
Section: F Uniformitymentioning
confidence: 99%
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“…Different groups are working these days on silicon array detectors; taking advantage of their excellent spatial resolution and small size compared with ion chambers, their real‐time measurements compared with EBT3 and TLDs, and their high sensitivity compared with ion chambers and EBT3. In addition, they are less expensive than diamond detectors and have reasonable uniformity and are more practical compared with gel dosimetry.…”
Section: Introductionmentioning
confidence: 99%
“…The equalization factor was obtained by normalising the response of each individual channel to the flat field (X i ) to the average response of all channels < ܺ >, thus generating the equalization factor F i . To get the data equalized X eq-i , the response of each pixel Y i is normalised by the equalisation factor F i [11] as shown by eq. 2.2 below.…”
Section: Dose Calibration and Equalization Proceduresmentioning
confidence: 99%