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Title:
MEROSLOVNA ANALIZA REFERENČNIH IZMERJENIH VREDNOSTI V DOZIMETRIJI
Authors:
ID
Novšak, Sven
(
Author
)
ID
Bajsić, Ivan
(
Mentor
)
More about this mentor...
ID
Peterlin, Primož
(
Comentor
)
Files:
1264$$mag_del_sven_novsak_koncna_tp_4_6.pdf
(4,54 MB)
MD5: EB6F05789B021A47933CFAAD86C2EBAF
Language:
Slovenian
Work type:
Master's thesis/paper
Organization:
UNM FS - University of Novo mesto - Faculty of Mechanical engineering
Abstract:
Magistrsko delo predstavlja meroslovno analizo referenčnih izmerjenih vrednosti v dozimetriji z uporabo statističnega nadzora procesov (SPC). Tradicionalni binarni pristop zagotavljanja kakovosti (QA) v radioterapiji ne zazna majhnih sistematičnih premikov in ne upošteva merilne negotovosti. Namen je bil razviti metodologijo za vzpostavitev individualnih referenčnih vrednosti na podlagi retrospektivne analize 6871 izmerkov pridobljenih z napravo PTW QuickCheck webline T42031 na 11 linearnih pospeševalnikih. Uporabili smo Shewhartove karte I-MR, EWMA (?=0,3) s pravili Western Electric in CUSUM ter v kontrolne meje in indekse procesne sposobnosti vključili kombinirano standardno merilno negotovost. Rezultati so potrdili vse tri hipoteze: (1) optimalno število meritev je od 30 do 50, (2) EWMA in CUSUM zaznata bistveno več odstopanj kot I-MR in (3), obstajajo statistično značilne razlike med linearnimi pospeševalniki in pospeševalnimi energijami fotonov ter elektronov. Razvita programska rešitev v pythonu omogoča avtomatizirano generiranje poročil in individualnih še dopustnih mej, kar izboljšuje varnost bolnikov v radioterapiji.
Keywords:
Dozimetrija
Hitre meritve
Merilna negotovost
Linearni pospeševalnik
Zagotavljanje kakovosti
Statistični nadzor procesov
Procesna sposobnost
Pravila Western Electric
Year of publishing:
2026
PID:
20.500.12556/ReVIS-14148
Publication date in ReVIS:
02.07.2026
Views:
38
Downloads:
1
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Secondary language
Language:
English
Title:
METROLOGICAL ANALYSIS OF REFERENCE MEASURED VALUES IN DOSIMETRY
Abstract:
This master’s thesis presents a metrological analysis of measured reference values in routine dosimetry using statistical process control (SPC). The traditional binary QA approach in radiotherapy fails to detect small systematic shifts and does not account for measurement uncertainty. The aim was to develop a methodology of establishing machine-specific reference values based on retrospective analysis of 6871 measurements with the PTW QuickCheck webline T42031 on 11 linear accelerators. We applied Shewhart I-MR charts, EWMA (λ=0,3) and CUSUM with Western Electric rules, and integrated combined standard uncertainty into control limits and process capability indices. Results confirmed all three hypotheses: the optimal number of measurements is between 30 and 50, EWMA and CUSUM detect significantly more deviations than I-MR, and statistically significant differences exist between linear accelerators and energies. The developed Python software enables automated report generation and individual limits, improving patient safety in radiotherapy.
Keywords:
Dosimetry
Quick-check
Measurement uncertainty	
Linear accelerator
Quality assurance
Statistical process control
Process capability
Western Electric rules
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