Evaluation of solid-state detectors in medical imaging with fuzzy PROMETHEE

Ozsahin, Ilker; Sharif, Tazeen; Ozsahin, Dilber Uzun; Uzun, Berna

doi:10.1088/1748-0221/14/01/c01019

Cited by 35 publications

(2 citation statements)

References 29 publications

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“…When choosing the photodetector to be used in nuclear medical imaging, a decision-aid method such as a multi-criteria decision-making algorithm can be helpful during the decision process. The aim of this study is to apply multi-criteria decision-making methods, the fuzzy preference ranking organization method for enrichment of evaluations (PROMETHEE) [4] and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) [5], to determine the optimum photodetector based on the evaluation and comparison of complex and multiple criteria.…”

Section: Introductionmentioning

confidence: 99%

Selection of photodetectors in nuclear medical imaging using MCDM methods

Ozsahin¹,

Uzun²,

Ozsahin³

2022

J. Inst.

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Photodetectors used in nuclear medical imaging such as single photon emission computed tomography (SPECT) and positron emission tomography (PET) are an important element of radiation detection systems. Selecting the photodetector depends on many physical criteria including quantum efficiency (QE) and gain. The aim of this study is to apply multi-criteria decision-making (MCDM) methods to determine the optimum photodetector based on the evaluation and comparison of complex and multiple criteria. The photodetectors investigated in this study are photomultiplier tube (PMT), avalanche photodiode (APD) and silicon photomultiplier (SiPM). The bias voltage, gain, rise time, and QE were selected since they are considered as the key criteria for the photodetectors. Then, the corresponding values of each criteria were defined and preferred weights were assigned to each criteria based on the desired outcome. The fuzzy preference ranking organization method for enrichment of evaluations (PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) methods were used to evaluate the alternatives. The results showed that conventional PMT came first in the ranking, followed by SiPM, while APD was the least desirable photodetector according to the fuzzy PROMETHEE and fuzzy TOPSIS methods based on the selected criteria and assigned weights. MCDM methods were used to select photodetectors used in PET and SPECT systems. One can incorporate as many alternatives and criteria as needed and assign the weights accordingly.

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Section: Introductionmentioning

confidence: 99%

Selection of photodetectors in nuclear medical imaging using MCDM methods

Ozsahin¹,

Uzun²,

Ozsahin³

2022

J. Inst.

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“…The PROMETHEE technique was developed by Brans and Vincle in 1985 [32]. Since then, it has been used successfully as an MCDM technique in many fields [33], and recently, it has been applied to medicine, healthcare [34][35][36][37][38][39][40][41][42][43] etc. VIKOR is another commonly-used MCDM technique that determines the order of alternatives under conflicting criteria based on the closeness to the ideal solution [44].…”

Section: Introductionmentioning

confidence: 99%

A Clinical Decision Support System for the Treatment of COVID-19 with Multi-Criteria Decision-Making Techniques (Preprint)

Ozsahin¹

2020

Preprint

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BACKGROUND The outbreak of coronavirus disease 2019 (COVID-19) was first reported in December 2019. Until now, many drugs and methods have been used in the treatment of the disease. However, no effective treatment option has been found and only case-based successes have been achieved so far. OBJECTIVE This study aims to evaluate the COVID-19 treatment options using multi-criteria decision-making (MCDM) techniques. METHODS In this study, we evaluated the available COVID-19 treatment options by MCDM techniques, namely fuzzy PROMETHEE and VIKOR. This technique is based on the evaluation and comparison of complex and multiple criteria to evaluate the most appropriate alternative. We evaluated current treatment options including favipiravir (FPV), lopinavir/ritonavir, hydroxychloroquine, interleukin-1 blocker, intravenous immunoglobulin (IVIG), and plasma exchange. The criteria used for the analysis include side effects, method of administration of the drug, cost, turnover of plasma, level of fever, age, pregnancy, and kidney function. RESULTS The results showed that plasma exchange was the most preferred alternative, followed by FPV and IVIG, while hydroxychloroquine was the least favorable one. New alternatives could be considered once they are available, and weights could be assigned based on the opinions of the decision makers (physicians/clinicians). CONCLUSIONS We showed the applicability of the MCDM techniques in informing decision makers in choosing the right treatment technique for the management of COVID-19.

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