Miguel A. Galarreta, PhD. Student

Possui graduação em Ing. Informática y de Sistemas - Universidad Nacional de San Antionio Abad del Cusco (2009) e possui mestrado em Ciências da Computação no IME-USP. Tem experiência na área de Ciências da Computação, com ênfase em processamento de imagens médicas.

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 Projects

Three-dimensional synthetic blood vessel generation using stochastic L-systems

Segmentation of blood vessels from magnetic resonance angiography (MRA) or computed tomography angiography (CTA) images is a complex process that usually takes a lot of computational resources. Also, most vascular segmentation and detection algorithms do not work properly due to the wide architectural variability of the blood vessels. Thus, the construction of convincing synthetic vascular trees makes it possible to validate new segmentation methodologies. In this work, an extension to the traditional Lindenmayer system (L-system) that generates synthetic 3D blood vessels by adding stochastic rules and parameters to the grammar is proposed. To-wards this aim, we implement a parser and a generator of L-systems whose grammars simulate natural features of real vessels such as the bifurcation angle, average length and diameter, as well as vascular anomalies, such as aneurysms and stenoses. The resulting expressions are then used to create synthetic vessel images that mimic MRA and CTA images. In addition, this methodology allows for vessel growth to be limited by arbitrary 3D surfaces, and the vessel intensity profile can be tailored to match real angiographic intensities.

 Publications

1.  GALARRETA, M. A. G. V. ; MACEDO, M. M. ; Choukri Mekkaoui ; Marcel P. Jackowski, . Three-dimensional synthetic blood vessel generation using stochastic L-systems. In: SPIE's Symposium on Medical Imaging, 2013, Orlando. Medical Imaging 2013: Image Processing, 2013. v. 8669.
2. MACEDO, M. M. ; GALARRETA, M. A. G. V. ; Choukri Mekkaoui ; Marcel P. Jackowski, . A centerline-based estimator of vessel bifurcations in angiography images. In: SPIE's Symposium on Medical Imaging, 2013, Orlando. Medical Imaging 2013: Computer-Aided Diagnosis, 2013. v. 8670.
 
 

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