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2014 | OriginalPaper | Chapter
Predictive Analysis of Photoacoustic Tomography Images in Dermatological Liposarcoma
Authors : F. Fanjul-Vélez, D. Martín-Ruiz, N. Ortega-Quijano, I. Salas-García, J. L. Arce-Diego
Published in: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
Publisher: Springer International Publishing
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Photoacoustic Tomography is a novel and promising imaging technique for tissue diagnosis. It employs an optical radiation for tissue irradiation, and detects the generated acoustic waves. By means of this approach it is capable of obtaining high resolution images at depths beyond the limits of purely optical techniques. The study of the potential efficiency of these techniques for diagnosis requires a predictive model for photoacoustic images. In this work we present a predictive complex model for Photoacoustic Tomography images. The model implements optical propagation by means of a Monte Carlo approach, initial pressure distribution and image reconstruction by the k-space method. We apply the method to dermatological liposarcoma at several states, and evaluate the validity of the images for diagnosis.