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Spatial and spectral regularization for multispectral photoacoustic image clustering
Aneline Dolet1; Francois Varray1; Simon Mure1; Thomas Grenier1; Yubin Liu2; Zhen Yuan2; Piero Tortoli3; Didier Vray1
Conference Name2016 IEEE International Ultrasonics Symposium, IUS 2016
Source PublicationIEEE International Ultrasonics Symposium, IUS
Conference Date9 18, 2016 - 9 21, 2016
Conference PlaceTours, France
Author of SourceIEEE Computer Society

Photoacoustic imaging is a hybrid modality used to image biological tissues. Multispectral optical excitation permits to obtain functional images thanks to the tissue specific optical absorption that depends on the light wavelength. The aim of this study is to propose a clustering method for photoacoustic multispectral images based on both spatial neighbourhood and spectral behaviour. The proposed methodology is adapted from spatio-temporal mean-shift approach: it clusters distant or neighbouring patterns having similar spectral profiles. The clustering performance of our modified mean-shift algorithm is experimentally tested on multispectral photoacoustic tomography data. Results obtained from phantoms including two blood dilutions and colored absorbers are presented. It is thus shown that our strategy allows the experimental discrimination of media, achieving a clustering performance of more than 99%. Moreover, depending on the applied pre-processing the discrimination of different concentrations of a same medium is possible.

KeywordMultispectral Photoacoustic Spatio-temporal Mean-shift Clustering
Indexed ByCPCI
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000387497400066
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Health Sciences
Affiliation1.CREATIS UMR 5220 U1206, Univ Lyon, INSA Lyon, Université Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne; 69621, France;
2.Bioimaging Core - Faculty of Health Sciences, University of Macau, China
3.Department of Information Engineering, University of Florence, Italy
Recommended Citation
GB/T 7714
Aneline Dolet,Francois Varray,Simon Mure,et al. Spatial and spectral regularization for multispectral photoacoustic image clustering[C]//IEEE Computer Society,2016.
APA Aneline Dolet,Francois Varray,Simon Mure,Thomas Grenier,Yubin Liu,Zhen Yuan,Piero Tortoli,&Didier Vray.(2016).Spatial and spectral regularization for multispectral photoacoustic image clustering.IEEE International Ultrasonics Symposium, IUS,2016-November.
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