DEFESA DE DISSERTAÇÃO DE MESTRADO

INVESTIGATION OF THE POSSIBILITIES OF USING A LOW-COST THREEDIMENSIONAL VISUALIZATION DEVICE TO SUPPORT RADIOLOGICAL DIAGNOSIS

03/08/2022 - 18h45

DEFESA DE DISSERTAÇÃO DE MESTRADO – Programa de Pós-Graduação em Ciência da Computação

INVESTIGATION OF THE POSSIBILITIES OF USING A LOW-COST THREEDIMENSIONAL VISUALIZATION DEVICE TO SUPPORT RADIOLOGICAL DIAGNOSIS

ALUNO: Renan Magalhães Trévia
ORIENTADOR: Dr. Márcio Sarroglia Pinho
BANCA EXAMINADORA: Dr. Edgard Afonso Lamounier Júnior (PPGEB/UFU), Dra.
Milene Selbach Silveira (PPGCC/PUCRS)
DATA: 10 de agosto de 2022
LOCAL: Videoconferência
HORÁRIO: 14:00

Link para acessar a videoconferência:

RESUMO:
Radiology is a field from medicine in which human bodies are examined for abnormalities, and such area is one of the most important ones when professionals want to diagnose clinical pathologies. Despite that popularity, experts still need to face a variety of problems when diagnosing, such as external illumination and bad sitting posture. Virtual reality emerged as a candidate solution for that. With its ability to block external visual stimuli and immerse users in virtual environments created and manipulated by computers, it has been recently studied and proven to bring benefits to the field. Most studies, however, deploy their solution in traditional desktop computers exclusively, leaving some room for exploration for other platforms, such as smartphones. Because of that, we developed a virtual reality application that runs on smartphones only and allows professionals from the radiology field to execute the two most common tasks when diagnosing: windowing and scrolling. Our objective was to evaluate an immersive and stereoscopic visualization approach of medical images as an attempt to solve the issues faced by professionals when they are doing radiological diagnosis. To do so, we applied a total of 6 different surveys with our subjects, 3 being adhoc and 3 being traditional in the literature. The results suggest that our application was successful because our testers evaluated our tool as “good enough“. In addition to that, the surveys indicated that a low effort is required to use our app. Suggestions for improvement were also mentioned by the subjects. Some stated that the quality of the used image is too low for a real diagnosis, thus improving the image quality is recommended. Others commented that the set of controls are complex, and therefore making it more similar to commonly used software of the field is advised.

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