Log-ratio measurements-based accurate non-iterative algorithm in diffuse optical tomography for sparsely localized optical parameter variations
- Title
- Log-ratio measurements-based accurate non-iterative algorithm in diffuse optical tomography for sparsely localized optical parameter variations
- Alternative Title
- 희소 영역 광학 계수 변화량을 이용한 Log-ratio 측정값 기반의 산란 광 단층촬영 비 반복 복원 알고리즘
- Author(s)
- Kihwan Kim
- DGIST Authors
- Kihwan Kim ; Okkyun Lee ; Kijoon Lee
- Advisor
- 이옥균
- Co-Advisor(s)
- Kijoon Lee
- Issued Date
- 2021
- Awarded Date
- 2021/02
- Type
- Thesis
- Subject
- Diffuse optical tomography, Compressed sensing, Rytov approximation, 산란 광 단층촬영, 압축 센싱, Rytov 근사법
- Table Of Contents
-
I. Introduction 1
II. Methods 3
1. Problem Formulation 3
2. Proposed Method 4
2.1 Joint sparse recovery problem 4
2.2 1st step: Sparse signal recovery 6
2.3 2nd step: Estimation of unknown fluence 7
2.4 3rd step: Estimation of optical parameters variations 7
III. Results 9
1. Simulation Setting 9
2. Reconstruct Results 11
2.1 Reconstruction of 𝛿𝜇𝑎 only (𝛿𝜇𝑠′ =0) 11
2.2 Reconstruction of both 𝛿𝜇𝑎 and 𝛿𝐷 (𝛿𝜇𝑠′ =0 𝑜𝑟 1) 11
VI. Conclusion 13
- URI
-
http://dgist.dcollection.net/common/orgView/200000362068
http://hdl.handle.net/20.500.11750/16654
- 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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