DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Ye, Jong Chul | - |
dc.contributor.advisor | 예종철 | - |
dc.contributor.author | Kim, Yeong Sik | - |
dc.date.accessioned | 2018-06-20T06:17:10Z | - |
dc.date.available | 2018-06-20T06:17:10Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675193&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/242978 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2017.2,[ii, 33 p. :] | - |
dc.description.abstract | Diffuse optical tomography (DOT) is non-invasive imaging modality that uses near infrared (NIR) light, wavelength of 700 to 1000nm. The purpose of diffuse optical tomography is to reconstruct optical properties of highly scattering biological tissue when anomalies are inside tissue. However, to solve inverse scattering problems in diffuse optical tomography, there are some difficulties since the problems are non-linear. In this study, we present reconstruction method that converting given problem to compressed sensing(CS) problem using linearization approach, and estimating the position of non-zero support as well as accurate value of absorption coefficient simultaneously using M-SBL algorithm, actually SBL algorithm, after applying $Calder \acute{o} n$ pre-conditioner to reduce computational complexity of Green’s function. Simulation and real data showed that proposed approach give higher accuracy compared to iterative shrinkage thresholding (IST) method, which is compressed sensing based reconstruction. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Diffuse optical tomography | - |
dc.subject | Compressed sensing | - |
dc.subject | reconsruction | - |
dc.subject | M-SBL | - |
dc.subject | Calderon pre-conditioner | - |
dc.subject | 확산 광학 단층 촬영 | - |
dc.subject | 압축 센싱 | - |
dc.subject | 재구성 | - |
dc.subject | 칼?론 쩐? 쪼껀 | - |
dc.title | Compressed sensing based diffuse optical tomography reconstruction using linearization approach | - |
dc.title.alternative | 압축 센싱 기반의 선형화 접근을 이용한 확산 광학 단층 영상 재구성 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :바이오및뇌공학과, | - |
dc.contributor.alternativeauthor | 김영식 | - |
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