Compressed sensing based diffuse optical tomography reconstruction using linearization approach = 압축 센싱 기반의 선형화 접근을 이용한 확산 광학 단층 영상 재구성

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 262
  • Download : 0
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.
Advisors
Ye, Jong Chulresearcher예종철researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2017.2,[ii, 33 p. :]

Keywords

Diffuse optical tomography; Compressed sensing; reconsruction; M-SBL; Calderon pre-conditioner; 확산 광학 단층 촬영; 압축 센싱; 재구성; 칼?론 쩐? 쪼껀

URI
http://hdl.handle.net/10203/242978
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675193&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0