Fast and accurate photon-counting detector-based material decomposition via nearest neighborhood method
- Title
- Fast and accurate photon-counting detector-based material decomposition via nearest neighborhood method
- Alternative Title
- 최근접 알고리즘을 이용한 신속하고 정확한 광자 수 측정 장치 기반 물질 분리 방법
- Author(s)
- Jeonghyeon Nam
- DGIST Authors
- Jeonghyeon Nam ; Okkyun Lee ; Dong Hye Ye
- Advisor
- 이옥균
- Co-Advisor(s)
- Dong Hye Ye
- Issued Date
- 2021
- Awarded Date
- 2021/02
- Type
- Thesis
- Table Of Contents
-
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
- URI
-
http://dgist.dcollection.net/common/orgView/200000363790
http://hdl.handle.net/20.500.11750/16682
- Degree
- Master
- Department
- Robotics Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Lee, Okkyun
- Research Interests Diffuse optical tomography; Functional brain imaging; Compressed sensing; Photon counting CT
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- Files in This Item:
-
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- Appears in Collections:
- Department of Robotics and Mechatronics Engineering Theses Master
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