Integration of a web-based Magnetic Resonance Imaging visualization tool

This thesis explores the integration of a web-based MRI visualization tool, MRIViewer, into the AI-Epilepsy platform to enhance the diagnosis of refractory epilepsy. The project focuses on creating a seamless and user-friendly experience for medical professionals. Key success criteria include displaying continuous series of DICOM files, remote image loading and support for switching between multiple axes. The chosen solution, MRIViewer, is a modern React-based tool with Apache 2.0 licensing and features necessary for the project. The development methodology involves non-destructive changes to the existing codebase, ensuring compatibility with AI-Epilepsy’s technology stack. The prototype phase included transforming MRIViewer into a portable React component, creating a backend prototype for image downloading, and successful integration into the AI-Epilepsy platform. While primary requirements have been met, future improvements such as displaying multiple series simultaneously, annotating images with persistence, addressing flickering issues, and enhancing the user interface are changes identified for further development.

• Autores: Granada Martínez, Diego
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2024
• Institución: Universidad de los Andes
• Repositorio: Séneca: repositorio Uniandes
• Idioma: eng
• OAI Identifier: oai:repositorio.uniandes.edu.co:1992/73958
• Acceso en línea: https://hdl.handle.net/1992/73958
• Palabra clave: Mri; react; dicom; visualization; Ingeniería
• Rights: openAccess
• License: Attribution 4.0 International