Print Email Facebook Twitter Photoacoustic Imaging by Means of Sparsity Regularization Title Photoacoustic Imaging by Means of Sparsity Regularization Author Stoev, V.V. Contributor Remis, R.F. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Telecommunications Programme Circuits and Systems Date 2013-08-12 Abstract The intertwine of the optical and acoustic domains by the photoacoustic effect has given rise to the novel technique of photoacoustic imaging. As a relatively new field it faces many challenges from different character on the way to clinical applications. One of these challenges, which deteriorates image quality and sharpness, is noise. The usual answer to this undesired effect is averaging over multiple measurements. This has its cost however, prompting the search for other noise reduction methods. In this thesis, we assume our imaging domain to be sparse and apply sparsity regularization accordingly. By this, we attempt to reduce the noise artefacts and improve the overall signal-to-noise ratio. To accomplish this task, we first solve the photoacoustic wave equation in linear form and discretize the result to acquire a data model. Then, we construct an imaging procedure based on the adjoint operator. Finally, we apply the sparsity regularization procedure to both synthetic and experimental data. We report on improved signal-to-noise ratio and several interesting finds among which are the dependence of the regularization parameter on the noise power and a different optimality criterion for the parameter choice in photoacoustic imaging. Subject photoacousticimagingsparsityregularization To reference this document use: http://resolver.tudelft.nl/uuid:8d73dc99-e8c4-4ff2-83b9-a16ba2ece4a5 Part of collection Student theses Document type master thesis Rights (c) 2013 Stoev, V.V. Files PDF thesis_vstoev_final.PDF 2.85 MB Close viewer /islandora/object/uuid:8d73dc99-e8c4-4ff2-83b9-a16ba2ece4a5/datastream/OBJ/view