Aberration correction for transcranial photoacoustic tomography of primates employing adjunct image data

A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation through the skull. By use of information regarding the skull morphology and composition obtained from adjunct x-ray computed tomography image data,...

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Published inJournal of Biomedical Optics Vol. 17; no. 6; pp. 66016 - 1-066016-2
Main Authors Huang, Chao, Nie, Liming, Schoonover, Robert W, Guo, Zijian, Schirra, Carsten O, Anastasio, Mark A, Wang, Lihong V
Format Journal Article
LanguageEnglish
Published United States Society of Photo-Optical Instrumentation Engineers 01.06.2012
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ISSN1083-3668
1560-2281
1560-2281
DOI10.1117/1.JBO.17.6.066016

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Abstract A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation through the skull. By use of information regarding the skull morphology and composition obtained from adjunct x-ray computed tomography image data, we developed a subject-specific imaging model that accounts for such aberrations. A time-reversal-based reconstruction algorithm was employed with this model for image reconstruction. The image reconstruction methodology was evaluated in experimental studies involving phantoms and monkey heads. The results establish that our reconstruction methodology can effectively compensate for skull-induced acoustic aberrations and improve image fidelity in transcranial PAT.
AbstractList A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation through the skull. By use of information regarding the skull morphology and composition obtained from adjunct x-ray computed tomography image data, we developed a subject-specific Imaging model that accounts for such aberrations. A time-reversal-based reconstruction algorithm was employed with this model for image reconstruction. The image reconstruction methodology was evaluated in experimental studies involving phantoms and monkey heads. The results establish that our reconstruction methodology can effectively compensate for skull-Induced acoustic aberrations and improve image fidelity in transcranial PAT.
A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation through the skull. By use of information regarding the skull morphology and composition obtained from adjunct x-ray computed tomography image data, we developed a subject-specific imaging model that accounts for such aberrations. A time-reversal-based reconstruction algorithm was employed with this model for image reconstruction. The image reconstruction methodology was evaluated in experimental studies involving phantoms and monkey heads. The results establish that our reconstruction methodology can effectively compensate for skull-induced acoustic aberrations and improve image fidelity in transcranial PAT.A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation through the skull. By use of information regarding the skull morphology and composition obtained from adjunct x-ray computed tomography image data, we developed a subject-specific imaging model that accounts for such aberrations. A time-reversal-based reconstruction algorithm was employed with this model for image reconstruction. The image reconstruction methodology was evaluated in experimental studies involving phantoms and monkey heads. The results establish that our reconstruction methodology can effectively compensate for skull-induced acoustic aberrations and improve image fidelity in transcranial PAT.
Author Wang, Lihong V
Schirra, Carsten O
Guo, Zijian
Nie, Liming
Huang, Chao
Anastasio, Mark A
Schoonover, Robert W
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  fullname: Nie, Liming
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  givenname: Lihong V
  surname: Wang
  fullname: Wang, Lihong V
  organization: Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri
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Snippet A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation...
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SubjectTerms Aberration
acoustic aberration
Acoustics
Algorithms
Animals
Brain - diagnostic imaging
Brain - pathology
Diagnostic Imaging - methods
diffraction
Humans
Image Processing, Computer-Assisted - methods
Image reconstruction
Imaging
Macaca mulatta
Neuroimaging - methods
Optics and Photonics
PAT
Phantoms, Imaging
Photoacoustic Techniques - methods
photoacoustic tomography brain imaging
photoacoustics
Primates
Reconstruction
Reproducibility of Results
Research Papers: Imaging
Skull
Time Factors
time reversal image reconstruction
Tomography
Tomography, X-Ray Computed - methods
Title Aberration correction for transcranial photoacoustic tomography of primates employing adjunct image data
URI http://dx.doi.org/10.1117/1.JBO.17.6.066016
https://www.ncbi.nlm.nih.gov/pubmed/22734772
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https://pubmed.ncbi.nlm.nih.gov/PMC3381039
Volume 17
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