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dc.contributor.advisor 이옥균 -
dc.contributor.author Jeonghyeon Nam -
dc.date.accessioned 2022-07-07T02:29:10Z -
dc.date.available 2022-07-07T02:29:10Z -
dc.date.issued 2021 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000363790 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/16682 -
dc.description.statementofresponsibility N -
dc.description.tableofcontents 1 Introduction 1
2 Background 2
2.1 Material Decomposition 2
2.2 Forward Model 3
2.3 Maximum Likelihood-based Method 4
3 Methods 4
3.1 Mean Squared Error-based Method 4
3.2 Proposed Nearest Neighborhood-based Method 4
3.3 Simulation Settings 5
3.3.1 Implementation Issues 5
3.3.2 Slab Phantom Simulation Settings 6
3.3.3 Abdominal Phantom Simulation Settings 6
4 Numerical Results 6
4.1 Numerical Validation for the Existence of the Critical Point 6
4.2 Slab Phantom Simulation Results 7
4.3 Abdominal Phantom Simulation Results 10
5 Discussion 11
6 Conclusion 11
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dc.format.extent 15 -
dc.language eng -
dc.publisher DGIST -
dc.subject Material decomposition,Photon-counting detector,Nearest neighborhood,Maximum likelihood -
dc.title Fast and accurate photon-counting detector-based material decomposition via nearest neighborhood method -
dc.title.alternative 최근접 알고리즘을 이용한 신속하고 정확한 광자 수 측정 장치 기반 물질 분리 방법 -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000363790 -
dc.description.degree Master -
dc.contributor.department Robotics Engineering -
dc.contributor.coadvisor Dong Hye Ye -
dc.date.awarded 2021/02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.RM 남74 202102 -
dc.contributor.alternativeDepartment 로봇공학전공 -
dc.embargo.liftdate 2024-08-31 -
dc.contributor.affiliatedAuthor Jeonghyeon Nam -
dc.contributor.affiliatedAuthor Okkyun Lee -
dc.contributor.affiliatedAuthor Dong Hye Ye -
dc.contributor.alternativeName 남정현 -
dc.contributor.alternativeName Okkyun Lee -
dc.contributor.alternativeName 예동해 -
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Department of Robotics and Mechatronics Engineering Theses Master

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