Medical visualization, commonly used in clinical routine for exploring
cardiac data, is based on traditional techniques including multiplanar
reformations, maximum intensity projection, and volume rendering that
rely on basic lighting models. Conversely, cinematic volume rendering
(CVR), grounded in physically-based rendering, has the capacity to
generate volumetric images with superior depth and shape perception. In
clinical settings, several commercial stand-alone CVR software tools are
available. Nevertheless, their prohibitive costs pose challenges for
smaller institutions and individual researchers. Furthermore, these tools
operate as ‘black-box’ systems and encounter installation obstacles. This
thesis endeavors to tackle these challenges by implementing CVR
solutions, encompassing both stand-alone and web-based approaches,
collaboratively developed with clinical experts, thereby laying the
groundwork for accessible CVR solutions. Additionally, the thesis
undertook the most comprehensive benchmarking of CVR solutions in the
literature, evaluating the advantages and limitations of five different
software tools. The results obtained demonstrate the exceptional
performance of the developed stand-alone CVR solution and the costeffective
web-based alternative.
(Universitat Pompeu Fabra, 2024-07-26T10:12:45Z) Baseer, Irum; Blat, Josep; Camara Rey, Óscar; Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
