Storytelling for Radiotherapy: A new way of patient-doctor communication
Radiotherapy is one of the most common therapeutic approaches for different types of cancer. It is a complex process, which involves several steps. Its success heavily relies on a careful pre-operative planning, in which the active participation of the patient is required. Anatomical models have been used for many years as a means of patient education. Today, educational products have evolved. As the healthcare industry focuses more on the direction of patient inclusion and information to treatment, most of the patient-doctor communication happens either with the use of new online media, tablets and smartphones. However, the patients remain quite emotionally disconnected from these means. Visualization tools and in particular tools for visual storytelling are anticipated to become noticeably influential for patient-doctor communication.
The task of this project is to design and implement a visual data-driven story, which will be personalized to the case of a patient undergoing prostate cancer radiotherapy. The story will include all stages of the treatment. More details about the subtasks and the workflow of the topic will be provided upon request.
- Knowledge of English language (source code comments and final report should be in English)
- Interest and Knowledge in Visualization and Visual Storytelling
- Good programming skills
- Creativity and enthusiasm
The project should be implemented as a standalone application, desktop or web-based (tools to be discussed).
 Narrative Visualization: Telling Stories with Data (Segel and Heer, IEEE InfoVis 2010)
 Storytelling: The Next Step for Visualization (Kosara and Mackinlay, IEEE Computer 2013)
 Visualization Rhetoric: Framing Effects in Narrative Visualization (Hullman and Diakopoulos, IEEE InfoVis 2013)
 More than Telling a Story: Transforming Data into Visually Shared Stories (Lee et al., IEEE CG&A 2015)
 Finding the Humanity in Healthcare Data: Visualization for Communicating Health (Watson et al., VAHC 2018)
 Visual Computing in Radiation Therapy Planning (Schlachter et al., 2019)