AI Article Synopsis
- The paper discusses a web-based medical visualization system designed for collaborative medicine, focusing on the colorization of medical images and the open source technologies used in its development.
- This system enables healthcare professionals to easily share and access medical data remotely, aiding in diagnosis, treatment plans, and educational activities, thanks to its compatibility with various devices and operating systems.
- The application processes DICOM files and utilizes HTML5 to display enhanced bitmap images that highlight different tissue densities, improving overall image visualization.
Article Abstract
The paper presents an application related to collaborative medicine using a browser based medical visualization system with focus on the medical image colorization process and the underlying open source web development technologies involved. Browser based systems allow physicians to share medical data with their remotely located counterparts or medical students, assisting them during patient diagnosis, treatment monitoring, surgery planning or for educational purposes. This approach brings forth the advantage of ubiquity. The system can be accessed from a any device, in order to process the images, assuring the independence towards having a specific proprietary operating system. The current work starts with processing of DICOM (Digital Imaging and Communications in Medicine) files and ends with the rendering of the resulting bitmap images on a HTML5 (fifth revision of the HyperText Markup Language) canvas element. The application improves the image visualization emphasizing different tissue densities.
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