Print Email Facebook Twitter Medical 3D visualisation Title Medical 3D visualisation: Designing a better user experience for image-guided surgical planning Author Ruijs, Laura (TU Delft Industrial Design Engineering) Contributor Goossens, R.H.M. (graduation committee) Pont, S.C. (mentor) Degree granting institution Delft University of Technology Programme Design for Interaction Date 2022-10-18 Abstract Pancreatic cancer is one of the deadliest types of cancer and generally has a 5-year survival rate of 5%. Surgery (pancreatoduodenectomy) is the only form of curative treatment for patients diagnosed with pancreatic cancer. If the tumour is operable, the resectability of the tumour depends on the level of tumour-vessel contact. Based on CT scans, assessing the resectability of the tumour can be critical and demands expertise. Philips, collaborating with Catharina Hospital Eindhoven and Eindhoven University of Technology (TU/e), has an oncology team called Eindhoven MedTech Innovation Centre (e/MTIC), working on a health care innovation regarding Pancreatic cancer enabled by AI (artificial intelligence) and Medical Image Guiding. This graduation project focuses on this pancreas use case; an integrated imaging workstation is being developed using 3D visualisation and enabling AI to enhance the workflow.This graduation project focuses on improving healthcare professionals' user experience and interaction within an integrated imaging workstation. The project focuses on visually communicating tumour detection and vascular segmentation, resulting in better diagnosis and surgical planning. The aim is to eventually design a visual language (a design language system guideline) to improve the workflow and experience. A user review was conducted using videos of user tests performed previously in the pancreas use case. This review led to the usability problems and the user needs of the 3D model in the pancreatic use case. A professional critical study was also conducted, revealing the prototype's strengths and weaknesses. Eventually, a redesign for the 3D model was developed. This model is focused on showing resectability to improve the workflow. Moreover, uncertainty regarding the tumour size and shape is visualised as well. Additionally, a DLS guideline for similar applications within Philips focused on medical 3D visualisation was designed at the end of this thesis.Finally, 3D visualisation, enabled by AI, improves the workflow within a medical imaging workstation. Subject Medical 3D visualisationUX designUI designPancreatic cancerIntegrated Medical Imaging WorkstationWorkflowInteraction designFuture of healthcare To reference this document use: http://resolver.tudelft.nl/uuid:98801741-714e-4d6b-8512-3532603b00ee Part of collection Student theses Document type master thesis Rights © 2022 Laura Ruijs Files PDF GraduationRepository_Laur ... 359054.pdf 12.31 MB Close viewer /islandora/object/uuid:98801741-714e-4d6b-8512-3532603b00ee/datastream/OBJ/view