Radiological Medical Imaging Annotation and Visualization Tool

• Type: Article in International Conference Proceedings Book
• Date: 2024

Authors

Teiga, I (Author) Other; Sousa, JV (Author) Other; Silva, F (Author) Other; Pereira, T (Author) Other; Oliveira, HP (Author) FCUP

Conference proceedings International

Title: UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION, PT III, UAHCI 2024

Pages: 317-333

18th International Conference on Universal Access in Human-Computer Interaction (UAHCI) Held as Part of the 26th International Conference on Human-Computer Interaction (HCII)

Washington, DC, JUN 29-JUL 04, 2024

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Other information

Authenticus ID: P-010-M5B

DOI: 10.1007/978-3-031-60884-1_22

Abstract (EN): Significant medical image visualization and annotation tools, tailored for clinical users, play a crucial role in disease diagnosis and treatment. Developing algorithms for annotation assistance, particularly machine learning (ML)-based ones, can be intricate, emphasizing the need for a user-friendly graphical interface for developers. Many software tools are available to meet these requirements, but there is still room for improvement, making the research for new tools highly compelling. The envisioned tool focuses on navigating sequences of DICOM images from diverse modalities, including Magnetic Resonance Imaging (MRI), Computed Tomography (CT) scans, Ultrasound (US), and X-rays. Specific requirements involve implementing manual annotation features such as freehand drawing, copying, pasting, and modifying annotations. A scripting plugin interface is essential for running Artificial Intelligence (AI)-based models and adjusting results. Additionally, adaptable surveys complement graphical annotations with textual notes, enhancing information provision. The user evaluation results pinpointed areas for improvement, including incorporating some useful functionalities, as well as enhancements to the user interface for a more intuitive and convenient experience. Despite these suggestions, participants praised the application's simplicity and consistency, highlighting its suitability for the proposed tasks. The ability to revisit annotations ensures flexibility and ease of use in this context.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17