PMID- 30522278
OWN - NLM
STAT- In-Data-Review
LR  - 20181207
IS  - 1520-8524 (Electronic)
IS  - 0001-4966 (Linking)
VI  - 144
IP  - 5
DP  - 2018 Nov
TI  - Feasibility study of acoustic imaging for human thorax using an acoustic contrast
      source inversion algorithm.
PG  - 2782
LID - 10.1121/1.5078590 [doi]
AB  - In this work, an acoustic imaging method based on contrast source inversion and
      its feasibility in quantitatively reconstructing compressibility, attenuation,
      and density of human thorax is studied. In the acoustic wave equation, the
      inhomogeneity in density makes the relationship between the contrasts and the
      total pressure highly nonlinear. To reduce this nonlinearity, two contrast
      sources are introduced to ensure symmetry in the equation, such that the inverse 
      problem can be solved efficiently by alternately updating two contrast sources
      and two contrasts. Moreover, to improve the stability of the algorithm, the
      multiplicative regularization scheme with two additive regularization factors is 
      applied. Using this algorithm, acoustic parameters of human thorax from low
      frequency ultrasound measurement are reconstructed. Numerical results show that
      the acoustic parameters of human thorax can be properly reconstructed at
      frequency of tens of kHz using this algorithm.
FAU - Song, Xiaoqian
AU  - Song X
AD  - State Key Laboratory on Microwave and Digital Communications, Beijing National
      Research Center for Information Science and Technology, Department of Electronic 
      Engineering, Tsinghua University, Beijing 100084, China.
FAU - Li, Maokun
AU  - Li M
AD  - State Key Laboratory on Microwave and Digital Communications, Beijing National
      Research Center for Information Science and Technology, Department of Electronic 
      Engineering, Tsinghua University, Beijing 100084, China.
FAU - Yang, Fan
AU  - Yang F
AD  - State Key Laboratory on Microwave and Digital Communications, Beijing National
      Research Center for Information Science and Technology, Department of Electronic 
      Engineering, Tsinghua University, Beijing 100084, China.
FAU - Xu, Shenheng
AU  - Xu S
AD  - State Key Laboratory on Microwave and Digital Communications, Beijing National
      Research Center for Information Science and Technology, Department of Electronic 
      Engineering, Tsinghua University, Beijing 100084, China.
FAU - Abubakar, Aria
AU  - Abubakar A
AD  - Schlumberger, Houston, Texas, USA.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - J Acoust Soc Am
JT  - The Journal of the Acoustical Society of America
JID - 7503051
EDAT- 2018/12/14 06:00
MHDA- 2018/12/14 06:00
CRDT- 2018/12/08 06:00
PHST- 2018/12/08 06:00 [entrez]
PHST- 2018/12/14 06:00 [pubmed]
PHST- 2018/12/14 06:00 [medline]
AID - 10.1121/1.5078590 [doi]
PST - ppublish
SO  - J Acoust Soc Am. 2018 Nov;144(5):2782. doi: 10.1121/1.5078590.