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Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation

Kopriva, Ivica; Peršin, Antun (2009) Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation. Medical image analysis, 13 (3). pp. 507-518. ISSN 1361-8415

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Unsupervised decomposition of static linear mixture model (SLMM) with ill-conditioned basis matrix and statistically dependent sources is considered. Such situation arises when low-dimensional low-intensity multi-spectral image of the tumour in the early stage of development is represented by the SLMM, wherein tumour is spectrally similar to the surrounding tissue. The original contribution of this paper is in proposing an algorithm for unsupervised decomposition of low-dimensional multi-spectral image for high-contrast tumour visualisation. It combines nonlinear band generation (NBG) and dependent component analysis (DCA) that itself combines linear pre-processing transform and independent component analysis (ICA). NBG is necessary to improve conditioning of the extended mixing matrix in the SLMM, while DCA is necessary to increase statistical independence between spectrally similar sources. We demonstrate good performance of the method on both computational model and experimental low-intensity red-green-blue fluorescent image of the surface tumour (basal cell carcinoma). We believe that presented method can be of use in other multi-channel medical imaging systems.

Item Type: Article
Uncontrolled Keywords: unsupervised decomposition; Ill-conditioned static linear mixture models; multi-spectral imaging; tumour demarcation; multi-channel medical imaging
Subjects: NATURAL SCIENCES > Mathematics > Applied Mathematics and Mathematical Modeling
TECHNICAL SCIENCES > Computing > Data Processing
Divisions: Division of Laser and Atomic Research and Development
Project titleProject leaderProject codeProject type
Multispectral data analysis (Analiza višespektralih podataka)-Ivica Kopriva098-0982903-2558MZOS
Depositing User: Ivica Kopriva
Date Deposited: 03 Dec 2015 13:23
DOI: 10.1016/

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