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dc.contributor.advisor 이옥균 -
dc.contributor.author Kihwan Kim -
dc.date.accessioned 2022-07-07T02:29:01Z -
dc.date.available 2022-07-07T02:29:01Z -
dc.date.issued 2021 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000362068 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/16654 -
dc.description.statementofresponsibility N -
dc.description.tableofcontents 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
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dc.format.extent 21 -
dc.language eng -
dc.publisher DGIST -
dc.subject Diffuse optical tomography, Compressed sensing, Rytov approximation, 산란 광 단층촬영, 압축 센싱, Rytov 근사법 -
dc.title Log-ratio measurements-based accurate non-iterative algorithm in diffuse optical tomography for sparsely localized optical parameter variations -
dc.title.alternative 희소 영역 광학 계수 변화량을 이용한 Log-ratio 측정값 기반의 산란 광 단층촬영 비 반복 복원 알고리즘 -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000362068 -
dc.description.degree Master -
dc.contributor.department Robotics Engineering -
dc.contributor.coadvisor Kijoon Lee -
dc.date.awarded 2021/02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.RM 김18 202102 -
dc.contributor.alternativeDepartment 로봇공학전공 -
dc.embargo.liftdate 2025-02-28 -
dc.contributor.affiliatedAuthor Kihwan Kim -
dc.contributor.affiliatedAuthor Okkyun Lee -
dc.contributor.affiliatedAuthor Kijoon Lee -
dc.contributor.alternativeName 김기환 -
dc.contributor.alternativeName Okkyun Lee -
dc.contributor.alternativeName 이기준 -
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