Abstract Objectives: To present and execute a protocol for the capture of 3D facial images using photogrammetry through the open access software Blender and its add-on OrtogOnBlender (OOB) and to evaluate the compatibility of the 3D meshes generated with Computed tomography (CT) of the sinuses. Methods: Individuals > 18 years old, candidates for Rhinoseptoplasty in a tertiary hospital, were submitted to a photographic session to perform the standardized protocol. In the session, divided into 3 phases, sequential photos were taken for processing the photogrammetry in the OOB and producing 3D meshes of the face. The photogrammetry reconstructions were compared with the reference mesh of the soft tissue surface of the Sinus CT scan to assess compatibility between them. Results: 21 patients were included, 67% female. 3 photogrammetry meshes and 1 CT reference mesh were generated, which demonstrated matching compatibility, as most of the mean distances between cloud points were <1.48mm. Phase 3 of the session with the highest number of photos (54.36 ± 15.05) generated the most satisfactory mesh with the best resolution. Conclusions: The proposed protocol is reproducible and feasible in clinical practice, generated satisfactory 3D meshes of the face, being a potential tool for surgical planning and comparison of results. For the implementation of photogrammetry for use in 3D anthropometry, it is necessary to validate this method. Level of evidence: 3. OCEBM Levels of Evidence Working Group.1 The Oxford 2011 Levels of Evidence. Oxford Centre for Evidence-Based Medicine. http://www.cebm.net/index.aspx?o=5653

Resumo Objetivo: Validar a aplicação do método de impressão tridimensional de biomodelos para aferição métrica e volumétrica de segmentos de aneurisma de aorta abdominal. Materiais e Métodos: Compararam-se as medidas obtidas por tomografia computadorizada dos biomodelos tridimensionais com as realizadas no planejamento pré-operatório de pacientes submetidos a correção endovascular de aneurisma de aorta abdominal. Resultados: A avaliação da volumetria demonstrou discrepância de 3% a 12% e a diferença entre as áreas foi de 10% a 16%. Conclusão: A tomografia computadorizada dos biomodelos impressos é compatível nas aferições métricas e volumétricas com as imagens tridimensionais da angiotomografia do paciente.

Abstract Objective: To validate the use of a three-dimensional printing system for metric and volumetric analysis of the segments of an abdominal aortic aneurysm (AAA). Materials and Methods: In patients scheduled to undergo endovascular AAA repair, the computed tomography angiography (CTA) measurements obtained during the preoperative assessment of the patients were compared with those obtained by computed tomography of individualized three-dimensional biomodels. Results: The volumetric assessment showed a discrepancy of 3-12%, and the difference between the areas was 10-16%. Conclusion: Computed tomography measurements of 3D-printed biomodels of AAAs appear to be comparable to those of threedimensional CTA measurements of the same AAAs, in terms of the metric and volumetric dimensions.

Abstract Introduction A medical application running outside the workstation environment has to deal with several constraints, such as reduced available memory and low network bandwidth. The aim of this paper is to present an approach to optimize the data flow for fast image transfer and visualization on mobile devices and remote stationary devices. Methods We use a combination of client- and server-side procedures to reduce the amount of information transferred by the application. Our approach was implemented on top of a commercial PACS and evaluated through user experiments with specialists in typical diagnosis tasks. The quality of the system outcome was measured in relation to the accumulated amount of network data transference and the amount of memory used in the host device. Besides, the system's quality of use (usability) was measured through participants’ feedback. Results Contrarily to previous approaches, ours keeps the application within the memory constraints, minimizing data transferring whenever possible, allowing the application to run on a variety of devices. Moreover, it does that without sacrificing the user experience. Experimental data point that over 90% of the users did not notice any delays or degraded image quality, and when they did, they did not impact on the clinical decisions. Conclusion The combined activities and orchestration of our methods allow the image viewer to run on resource-constrained environments, such as those with low network bandwidth or little available memory. These results demonstrate the ability to explore the use of mobile devices as a support tool in the medical workflow.