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Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging
Dolet, Aneline1,2; Varray, Francois1; Mure, Simon1; Grenier, Thomas1; Liu, Yubin3; Yuan, Zhen3; Tortoli, Piero2; Vray, Didier1
2018-06-20
Source PublicationEURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
ISSN1687-6180
Abstract

Photoacoustics is a hybrid modality used to image biological tissues. As optical absorption of tissues depends on the wavelength of the transmitted light, multispectral photoacoustic datasets can be obtained by changing this wavelength. This study presents a regularization method to segment multispectral photoacoustic images based on both the spatial and spectral features of the dataset pixels. The proposed processing is adapted from the spatiotemporal mean-shift approach and cluster patterns with similar spectral profiles, i.e., the variation of the received amplitude among the wavelengths, independent of their initial position. The segmentation performance of this method has been experimentally tested on multispectral photoacoustic tomographic data. We initially used a phantom that contained fresh and stale liver samples, and then a second phantom that contained two blood dilutions or a colored absorber. Experimentally, a clustering performance greater than 98% is achieved. This method makes it possible to discriminate between different media, between the same medium as fresh or stale, and between the same medium with different dilutions.

KeywordPhotoacoustic Imaging Multispectral Imaging Spatial And Spectral Filtering
DOI10.1186/s13634-018-0554-8
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000435994000001
PublisherSPRINGEROPEN
The Source to ArticleWOS
Fulltext Access
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Document TypeJournal article
CollectionFaculty of Health Sciences
Affiliation1.Univ. Lyon, INSA-Lyon, Lyon, France
2.Department of Information Engineering, University of Florence, Florence. Italy
3.Bioimaging Core - Faculty of Health Sciences, University of Macau, People’s Republic of Macau, China
Recommended Citation
GB/T 7714
Dolet, Aneline,Varray, Francois,Mure, Simon,et al. Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging[J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,2018.
APA Dolet, Aneline.,Varray, Francois.,Mure, Simon.,Grenier, Thomas.,Liu, Yubin.,...&Vray, Didier.(2018).Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging.EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING.
MLA Dolet, Aneline,et al."Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging".EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2018).
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