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Open Access Green as soon as Postprint is submitted to ZB.
Multiscale multispectral optoacoustic tomography by a stationary wavelet transform prior to unmixing.
IEEE Trans. Med. Imaging 33, 1194-1202 (2014)
Multispectral Optoacoustic Tomography (MSOT) utilizes broadband ultrasound detection for imaging biologically-relevant optical absorption features at a range of scales. Due to the multiscale and multispectral features of the technology, MSOT comes with distinct requirements in implementation and data analysis. In this work, we investigate the interplay between scale, which depends on ultrasonic detection frequency, and optical multispectral spectral analysis, two dimensions that are unique to MSOT and represent a previously unexplored challenge. We show that ultrasound frequency-dependent artifacts suppress multispectral features and complicate spectral analysis. In response, we employ a wavelet decomposition to perform spectral unmixing on a per-scale basis (or per ultrasound frequency band) and showcase imaging of fine-scale features otherwise hidden by low frequency components. We explain the proposed algorithm by means of simple simulations and demonstrate improved performance in imaging data of blood vessels in human subjects.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Multiscale ; Optical Imaging ; Optoacoustic Imaging ; Photoacoustic Imaging ; Spectral Unmixing ; Wavelets; Photoacoustic Tomography; In-vivo; Brain
ISSN (print) / ISBN
0278-0062
e-ISSN
1558-254X
Quellenangaben
Volume: 33,
Issue: 5,
Pages: 1194-1202
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place
New York, NY [u.a.]
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)