CASIA OpenIR  > 中国科学院分子影像重点实验室
Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography
Liu, Hongbo; Wang, Kun1; Peng, Dong; Li, Hui2; Zhu, Yukun3; Zhang, Shuang4; Liu, Muhan; Tian, Jie5,6
AbstractThe computation of model matrix in the iterative imaging reconstruction process is crucial for the quantitative photoacoustic tomography (PAT). However, it is challenging to establish an outstanding model matrix to improve the overall imaging quality in PAT due to the noisy signal acquisition and inevitable artifacts. In this work, we present a novel method, named as the curve-driven-based model-matrix inversion (CDMMI), to calculate the model matrix for tomographic reconstruction in photoacoustic imaging. It eliminated the use of interpolation techniques, and thus avoided all interpolation related errors. The conventional interpolated-matrix-model inversion (IMMI) method was applied to evaluate its performance in numerical simulation, tissue-mimicking phantom and in vivo small animal studies. Results demonstrated that CDMMI achieved better reconstruction accuracy until IMMI kept increasing discrete points to 10000. Furthermore, the proposed method can suppress the negative influence of noise and artifacts effectively, which benefited the overall imaging quality of photoacoustic tomography.
KeywordPhotoacoustic Tomography Model Matrix Acoustic Inversion Curve-driven Interpolated-matrix-model Inversion
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
Indexed BySCI
Funding OrganizationNational Basic Research Program of China (973 Program)(2015CB755500) ; National Natural Science Foundation of China(81227901 ; Scientific Research and Equipment Development Project of Chinese Academy of Sciences(YZ201359) ; Key Research Program of the Chinese Academy of Sciences(KGZD-EW-T03) ; Chinese Academy of Sciences(2013Y1GA0004) ; China Postdoctoral Science Foundation(2014M550881 ; 61231004 ; 2015T80155) ; 61401462)
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000391547700004
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Document Type期刊论文
Affiliation1.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
2.Harbin Univ Sci & Technol, Coll Automat, Harbin 150080, Peoples R China
3.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China
4.Northeastern Univ, Sinodutch Biomed & Informat Engn Sch, Shenyang 110819, Peoples R China
5.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710071, Peoples R China
6.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu, Hongbo,Wang, Kun,Peng, Dong,et al. Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2016,35(12):2546-2557.
APA Liu, Hongbo.,Wang, Kun.,Peng, Dong.,Li, Hui.,Zhu, Yukun.,...&Tian, Jie.(2016).Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography.IEEE TRANSACTIONS ON MEDICAL IMAGING,35(12),2546-2557.
MLA Liu, Hongbo,et al."Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography".IEEE TRANSACTIONS ON MEDICAL IMAGING 35.12(2016):2546-2557.
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