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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
Translated Title
최근접 알고리즘을 이용한 신속하고 정확한 광자 수 측정 장치 기반 물질 분리 방법
Authors
Jeonghyeon Nam
DGIST Authors
Jeonghyeon Nam; Okkyun Lee; Dong Hye Ye
Advisor(s)
이옥균
Co-Advisor(s)
Dong Hye Ye
Issue Date
2021
Available Date
2022-07-07
Degree Date
2021/02
Type
Thesis
Keywords
Material decomposition,Photon-counting detector,Nearest neighborhood,Maximum likelihood
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
DOI
10.22677/thesis.200000363790
Degree
Master
Department
Robotics Engineering
University
DGIST
Related Researcher
  • Author Lee, Okkyun Next-generation Medical Imaging Lab
  • Research Interests Diffuse optical tomography; Functional brain imaging; Compressed sensing; Photon counting CT
Files:
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Collection:
Department of Robotics and Mechatronics EngineeringThesesMaster


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